Relevant bibliographies by topics / Multi-target medicine

Academic literature on the topic 'Multi-target medicine'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Multi-target medicine"

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Hilpert, Ursula. "Erfolgreiches Multi-Target-Prinzip." MMW - Fortschritte der Medizin 158, no. 16 (September 2016): 74. http://dx.doi.org/10.1007/s15006-016-8735-6.

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Häckel, Andreas. "Gastrointestinale Multi-Target-Option." MMW - Fortschritte der Medizin 162, no. 16 (September 2020): 74. http://dx.doi.org/10.1007/s15006-020-4384-x.

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Keil, Till U. "Mineralisches Multi-Target-Talent." MMW - Fortschritte der Medizin 162, S3 (November 2020): 90. http://dx.doi.org/10.1007/s15006-020-4553-y.

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de Oliveira Viana, Jessika, Hamilton Mitsugu Ishiki, Marcus Tullius Scotti, and Luciana Scotti. "Multi-Target Antitubercular Drugs." Current Topics in Medicinal Chemistry 18, no. 9 (July 31, 2018): 750–58. http://dx.doi.org/10.2174/1568026618666180528124414.

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Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis, which has high levels of mortality worldwide and has already gained resistance to first- and second-line drugs. The study by new chemical entities with promising activities becomes paramount to broaden the therapeutic strategies in the cure of the patients affected with this disease. In this context, in this review we report the discovery of 3 classes of compounds that can simultaneously interact with more than one target of Mycobacterium tuberculosis.
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Tan, Mario A., Niti Sharma, and Seong Soo A. An. "Multi-Target Approach of Murraya koenigii Leaves in Treating Neurodegenerative Diseases." Pharmaceuticals 15, no. 2 (February 2, 2022): 188. http://dx.doi.org/10.3390/ph15020188.

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Neurodegenerative diseases (NDs) mainly affect neurons and gradually lead to a loss of normal motor and cognitive functions. Atypical protein homeostasis—misfolding, aggregations and accumulations, oxidative stress, inflammation, and apoptosis—are common features in most NDs. To date, due to the complex etiology and pathogenesis of NDs, no defined treatment is available. There has been increasing interest in plant extracts as potential alternative medicines as the presence of various active components may exert synergistic and multi-pharmacological effects. Murraya koenigii (Rutaceae) is utilized in Ayurvedic medicine for various ailments. Pharmacological studies evidenced its potential antioxidant, anti-inflammatory, anticancer, hepatoprotective, immunomodulatory, antimicrobial, and neuroprotective activities, among others. In line with our interest in exploring natural agents for the treatment of neurodegenerative diseases, this review presents an overview of literature concerning the mechanisms of action and the safety profile of significant bioactive components present in M. koenigii leaves to support further investigations into their neuroprotective therapeutic potential.
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Girrbach, Gudrun. "Bewährtes Phytotherapeutikum mit Multi-Target-Wirkung." MMW - Fortschritte der Medizin 157, no. 4 (March 2015): 71. http://dx.doi.org/10.1007/s15006-015-2781-3.

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Järvinen, Tero A. H., and Toini Pemmari. "Systemically Administered, Target-Specific, Multi-Functional Therapeutic Recombinant Proteins in Regenerative Medicine." Nanomaterials 10, no. 2 (January 28, 2020): 226. http://dx.doi.org/10.3390/nano10020226.

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Growth factors, chemokines and cytokines guide tissue regeneration after injuries. However, their applications as recombinant proteins are almost non-existent due to the difficulty of maintaining their bioactivity in the protease-rich milieu of injured tissues in humans. Safety concerns have ruled out their systemic administration. The vascular system provides a natural platform for circumvent the limitations of the local delivery of protein-based therapeutics. Tissue selectivity in drug accumulation can be obtained as organ-specific molecular signatures exist in the blood vessels in each tissue, essentially forming a postal code system (“vascular zip codes”) within the vasculature. These target-specific “vascular zip codes” can be exploited in regenerative medicine as the angiogenic blood vessels in the regenerating tissues have a unique molecular signature. The identification of vascular homing peptides capable of finding these unique “vascular zip codes” after their systemic administration provides an appealing opportunity for the target-specific delivery of therapeutics to tissue injuries. Therapeutic proteins can be “packaged” together with homing peptides by expressing them as multi-functional recombinant proteins. These multi-functional recombinant proteins provide an example how molecular engineering gives to a compound an ability to home to regenerating tissue and enhance its therapeutic potential. Regenerative medicine has been dominated by the locally applied therapeutic approaches despite these therapies are not moving to clinical medicine with success. There might be a time to change the paradigm towards systemically administered, target organ-specific therapeutic molecules in future drug discovery and development for regenerative medicine.
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Liu, Qing Shan, Wei Wei Zhang, Xu Li, Shu Juan Zhuang, and Xiao Ying Yin. "The Application of High Throughput Microarrays in the Screening Active Ingredients of Traditional Chinese Medicine." Advanced Materials Research 998-999 (July 2014): 346–49. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.346.

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The accurate detection of traditional Chinese medicine is significant for diagnosis, treatment and control for disease. There is an urgent need for the development of a rapid, simple, and accurate detection method. The high throughput microarray is recommended for use in all researches including those involving rare samples and expensive reagents. Due to the complexity of Chinese medicines interference and multi-target, multi-component, the advantages that sensitivity, reproducibility, and specificity of high-throughput microarrays make it become one of the effective research tools.
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Jäger-Becker, Dagmar. "Multi-Target-Therapie für Reizdarm und -magen." MMW - Fortschritte der Medizin 160, no. 20 (November 2018): 73. http://dx.doi.org/10.1007/s15006-018-1189-2.

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Vincenzo, Formica, Tesauro Manfredi, Cardillo Carmine, and Roselli Mario. "CD26: A Multi-Purpose Pharmacological Target." Current Clinical Pharmacology 9, no. 2 (April 2014): 157–64. http://dx.doi.org/10.2174/1574884708666131111201654.

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Dissertations / Theses on the topic "Multi-target medicine"

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Arthofer, Christoph. "Multi-atlas segmentation using clustering, local non-linear manifold embeddings and target-specific templates." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/50070/.

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Multi-atlas segmentation (MAS) has become an established technique for the automated delineation of anatomical structures. The often manually annotated labels from each of multiple pre-segmented images (atlases) are typically transferred to a target through the spatial mapping of corresponding structures of interest. The mapping can be estimated by pairwise registration between each atlas and the target or by creating an intermediate population template for spatial normalisation of atlases and targets. The former is done at runtime which is computationally expensive but provides high accuracy. In the latter approach the template can be constructed from the atlases offline requiring only one registration to the target at runtime. Although this is computationally more efficient, the composition of deformation fields can lead to decreased accuracy. Our goal was to develop a MAS method which was both efficient and accurate. In our approach we create a target-specific template (TST) which has a high similarity to the target and serves as intermediate step to increase registration accuracy. The TST is constructed from the atlas images that are most similar to the target. These images are determined in low-dimensional manifold spaces on the basis of deformation fields in local regions of interest. We also introduce a clustering approach to divide atlas labels into meaningful sub-regions of interest and increase local specificity for TST construction and label fusion. Our approach was tested on a variety of MR brain datasets and applied to an in-house dataset. We achieve state-of-the-art accuracy while being computationally much more efficient than competing methods. This efficiency opens the door to the use of larger sets of atlases which could lead to further improvement in segmentation accuracy.
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Di, Pietro Ornella. "Exploring heterocyclic scaffolds in the development of multi-target anti-Alzheimer and multi-trypanosomatid compounds." Doctoral thesis, Universitat de Barcelona, 2015. http://hdl.handle.net/10803/318585.

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The aim of this PhD thesis consists of the synergistic combination of both highly efficient synthetic approaches and molecular modelling tools for the structure-based drug design and synthesis of novel bioactive heterocyclic compounds. The work carried out has followed two main research lines, namely the development of novel disease-modifying anti-Alzheimer agents and still unexplored chemical entities for the treatment of Neglected Tropical Diseases (NTDs). The results obtained have been presented as a compendium of publications and draft manuscripts. In the framework of the anti-Alzheimer research line, first the hit-to-lead optimization of a practically inactive propidium-related compound easily accessed via a Povarov multicomponent reaction (MCR) approach (Di Pietro O. et al. Eur. J. Med. Chem., 2014, 73, 141), and the subsequent molecular hybridization with a 6-chlorotacrine unit through a molecular dynamics-driven tether length optimization, overall led to one of the most potent non-covalent dual binding site acetylcholinesterase inhibitor (AChEI) ever described in the literature (Di Pietro O. et al. Eur. J. Med. Chem., 2014, 84, 107). Second, the combined recourse to the highly versatile click-chemistry strategy, through the well-known Cu-catalyzed azide-alkyne cycloaddition reaction, and convenient computational chemistry tools, allowed the rational design and synthesis of a novel series of 1,4-disubstituted triazole-based propargylamines as irreversible MAO-B inhibitors (draft manuscript) with the perspective to be further linked to a second pharmacophoric moiety to derive novel MTDLs as potential anti-Alzheimer drug candidates. Furthermore, an extensive computation of the BACE-1 apo conformational ensemble by means of combined molecular dynamics technique and Principal Component Analysis (PCA) method, allowed to carry out an exhaustive study of a secondary transient druggable pocket (draft manuscript) and a virtual screening of 500,000 commercially available fragments for further drug discovery purposes. Finally, in the framework of the NTDs research line, 2−4-step sequences involving as the key step an initial Povarov MCR gave easy access to a small library of quinolones and tricyclic heterofused quinolines, which were subjected to phenotypic whole-cell screenings, leading to the individuation of several low micromolar multi-trypanosomatid hit compounds (Di Pietro et al. Eur. J. Med. Chem. 2015, accepted with minor revision).
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Oakey, Mary E. "Developing a Quantitative Means for Evaluating Single Isocenter Multi-Target SRS Plans." University of Toledo Health Science Campus / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=mco1556908025631349.

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Herman, Jonathan David. "Halofuginone: A Story of How Target Identification of an Ancient Chinese Medicine and Multi-Step Evolution Informs Malaria Drug Discovery." Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11540.

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Malaria is a treatable communicable disease yet remains a common cause of death and disease especially among pregnant women and children. Most of malaria's worldwide burden disproportionately lies in Southeast Asia and Sub-Saharan Africa. Western medicine's 100+ year history of combating Plasmodium falciparum has taught us that the global population of malaria parasites has a unique and dangerous ability to rapidly evolve and spread drug resistance. Recently it was documented that resistance to the first-line antimalarial artemisinin may be developing in Southeast Asia.
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Kim, Doo Young. "Statistical Modeling of Carbon Dioxide and Cluster Analysis of Time Dependent Information: Lag Target Time Series Clustering, Multi-Factor Time Series Clustering, and Multi-Level Time Series Clustering." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6277.

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The current study consists of three major parts. Statistical modeling, the connection between statistical modeling and cluster analysis, and proposing new methods to cluster time dependent information. First, we perform a statistical modeling of the Carbon Dioxide (CO2) emission in South Korea in order to identify the attributable variables including interaction effects. One of the hot issues in the earth in 21st century is Global warming which is caused by the marriage between atmospheric temperature and CO2 in the atmosphere. When we confront this global problem, we first need to verify what causes the problem then we can find out how to solve the problem. Thereby, we find and rank the attributable variables and their interactions based on their semipartial correlation and compare our findings with the results from the United States and European Union. This comparison shows that the number one contributing variable in South Korea and the United States is Liquid Fuels while it is the number 8 ranked in EU. This comparison provides the evidence to support regional policies and not global, to control CO2 in an optimal level in our atmosphere. Second, we study regional behavior of the atmospheric CO2 in the United States. Utilizing the longitudinal transitional modeling scheme, we calculate transitional probabilities based on effects from five end-use sectors that produce most of the CO2 in our atmosphere, that is, the commercial sector, electric power sector, industrial sector, residential sector, and the transportation sector. Then, using those transitional probabilities we perform a hierarchical clustering procedure to classify the regions with similar characteristics based on nine US climate regions. This study suggests that our elected officials can proceed to legislate regional policies by end-use sectors in order to maintain the optimal level of the atmospheric CO2 which is required by global consensus. Third, we propose new methods to cluster time dependent information. It is almost impossible to find data that are not time dependent among floods of information that we have nowadays, and it needs not to emphasize the importance of data mining of the time dependent information. The first method we propose is called “Lag Target Time Series Clustering (LTTC)” which identifies actual level of time dependencies among clustering objects. The second method we propose is the “Multi-Factor Time Series Clustering (MFTC)” which allows us to consider the distance in multi-dimensional space by including multiple information at a time. The last method we propose is the “Multi-Level Time Series Clustering (MLTC)” which is especially important when you have short term varying time series responses to cluster. That is, we extract only pure lag effect from LTTC. The new methods that we propose give excellent results when applied to time dependent clustering. Finally, we develop appropriate algorithm driven by the analytical structure of the proposed methods to cluster financial information of the ten business sectors of the N.Y. Stock Exchange. We used in our clustering scheme 497 stocks that constitute the S&P 500 stocks. We illustrated the usefulness of the subject study by structuring diversified financial portfolio.
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Lorenzo, Vitor Prates. "Estudos in silico com alcaloides oriundos de produtos naturais." Universidade Federal da Paraíba, 2016. http://tede.biblioteca.ufpb.br:8080/handle/tede/9516.

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The use of plants for medicinal purposes is one of the oldest forms of medical practice of mankind, emphasizing the alkaloids because they present rich structural and pharmacological properties extensive variety. The drug design is aided by computer based strategies based on linkers or target. When developing new compounds, the structure-based techniques, such as docking, can be applied to study of certain receptor and its corresponding ligand, evaluating bindingprotein interactions. Whereas in the ligand-based methods, a database of known ligands is used, looking for ways to evaluate parameters (molecular descriptors) that can assist in the development of compounds with higher power. This study aimed to perform in silico studies to investigate drug-target interactions with alkaloids derived from natural products and their analogues with relevant pharmacological activity. Different molecular descriptors and methodologies were used in the studies developed. In chapter 2, the interaction of alkaloid bisindolic caulerpine (CLP) was evaluated with the enzyme involved in Alzheimer's disease (AD) monoamine oxidase B (MAO-B), and a database with 109 analogs. It was possible to observe a chemical parameter of inhibition of PLC analogues where the replacement of the radicals must be asymmetric with different polarity. The studies based on the linker and the structure associated with the classification drug-like chemical skeleton suggest that the PLC has potential use in the treatment of AD. In chapter 3, 8 alkaloids isolated Cissampelos sympodialis and 101 derivatives, had their inhibitory potential against enzyme (BACE, GSK-3β and MAO-A) involved in degenerative diseases assessed by in silico methods. consensual analysis showed affinity alkaloids bisbenzilisoquinolinics by BACE, incluindos the roraimine natural alkaloids and simpodialine-β-N-oxide, supporting interest in investigating this skeleton as an antagonist of this enzyme. In Chapter 4 we evaluated the multi-target potential of 148 aphorphinics alkaloids Annonaceae against Leishmania donovani. Six were selected enzymes of this neglected disease for theoretical study, which was associated with experimental four alkaloids available data and integrating the bank, which had pIC50 value inferior to 5.26. The xyloguyelline alkaloid was named as a potential multi-agent target, demonstrating activity against 5 of 6 enzymes evaluated, likely to activity of over 60%. fragment descriptors were used to create model-based binder in a parallel approach with molecular docking to predict the cytotoxic and against topoisomerase II activity azaphenantrene alkaloids in chapter 5. The cytotoxic activity of this skeleton alkaloids are well described in the literature, molecules having activity against several tumor cell lines. The IMB 6 analog and 23 IMB showed interesting activity and selectivity, with MolDock energy similar to liriodenine composed characterized by potent anti-tumor action, but with high toxicity. Important structural information is provided by spectroscopy nuclear magnetic resonance (NMR), and Chapter 6 aimed to discuss the importance of this technique for generating molecular descriptors. Studies that applied successfully in drug design NMR descriptors assisted by computer are described and several QSAR and QSPR having as support data chemical shifts.
A utilização de plantas com fins medicinais é uma das mais antigas formas de prática medicinal da humanidade, enfatizando os alcaloides, por apresentarem rica variedade estrutural e extensa propriedade farmacológica. O desenho de drogas auxiliado pelo computador é fundamentado em estratégias baseadas nos ligantes ou no alvo. No desenvolvimento de novos compostos, técnicas baseadas na estrutura, como o docking, podem ser aplicadas no estudo de um determinado receptor e seu respectivo ligante, avaliando as interações ligante-proteína. Ao passo que nos métodos baseados no ligante, um banco de ligantes conhecidos é utilizado, buscando modos de avaliar parâmetros (descritores moleculares) que possam auxiliar no desenvolvimento de compostos com maior potência. Este estudo teve como objetivo realizar estudos in silico para investigar interações fármaco-alvo com alcaloides oriundos de produtos naturais, e respectivos análogos, com relevante atividade farmacológica. Diferentes descritores moleculares e metodologias foram utilizadas nos estudos desenvolvidos. No capítulo 2, foi avaliado a interação do alcaloide bisindolico caulerpina (CLP) com a enzima envolvida na doença de Alzheimer (DA) monoamina oxidase B (MAO-B), além de um banco com 109 análogos. Foi possível observar um parâmetro químico de inibição dos análogos da CLP, onde a substituição dos radicais deve ser assimétrica com polaridade distinta. Os estudos dos baseados no ligante e na estrutura, associado à classificação drug-like, sugerem que o esqueleto químico da CLP tem potencial uso no tratamento da DA. No capítulo 3, 8 alcaloides isolados de Cissampelos sympodialis e 101 derivados, tiveram seu potencial inibitório contra enzimas (BACE, GSK-3β e MAO-A) envolvidas em doenças degenerativas avaliado por metodologias in silico. Análise consensual demonstrou afinidade de alcaloides bisbenzilisoquinolínicos pela BACE, incluindos os alcaloides naturais roraimina e simpodialina- β-N-oxide, suportando interesse em investigar este esqueleto como antagonista desta enzima. No capítulo 4 foi avaliado o potencial multi-target de 148 alcaloides aporfinicos de Annonaceae contra Leishmania donovani. Foram utilizadas seis enzimas desta doença negligenciada para o estudo teórico, que foi associado com dados experimentais de quatro alcaloides disponíveis e que integram o banco, que apresentaram valor pIC50 inferior a 5.26. O alcaloide xyloguyellina foi apontado como potencial agente multitarget, demonstrando atividade contra 5 das 6 enzimas avaliadas, com probabilidade de atividade superior a 60%. Descritores de fragmento foram utilizados para criar modelo baseado no ligante em uma abordagem paralela com docking molecular, para predizer a atividade citotóxica e contra topoisomerase II de azafenantreno alcaloides, no capítulo 5. A atividade citotóxica deste esqueleto de alcaloides está bem descrita na literatura, com diversas moléculas apresentando atividade contra linhagens de células tumorais. Os análogos IMB 6 e IMB 23 apresentaram interessante atividade e com seletividade, apresentando energia MolDock similar à liriodenina, composto caracterizado por potente ação antitumoral, porém com elevada toxicidade. Importantes informações estruturais são fornecidas pela espectroscopia de ressonância magnética nuclear (RMN), sendo o capítulo 6 destinado a discorrer sobre a importância desta técnica para geração de descritores moleculares. Estudos que aplicaram com sucesso descritores RMN em design de drogas assistida pelo computador encontram-se descritos, além de diversos estudos de QSAR e QSPR tendo como amparo dados de deslocamentos químicos.
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Aung, Thazin Nwe. "Molecular Mechanisms of Natural Compounds : Compound Kushen Injection (CKI) in Cancer." Thesis, 2019. http://hdl.handle.net/2440/120399.

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Chemotherapy is a treatment that uses cytotoxic drugs to kill rapidly dividing cancer cells. There are many anti-cancer chemotherapeutic drugs used alone or in combination with others to kill cancerous cells, and some of these, are of plant origin. Naturally occurring compounds, such as Taxol, are used in chemotherapy and have very specific, unique, molecular targets. However, according to the World Health Organization (Ekor, 2014), approximately eighty percent of the world’s population depends on natural compounds from traditional medicine and these compounds are widely used in complementary medicine as anti-cancer drugs (Foster et al., 2000). Traditional Chinese medicine (TCM) uses treatments that contain multiple natural compounds, a number of which have been claimed to be of therapeutic benefit to cancer sufferers (Chung et al., 2015). Some TCM preparations have shown anti-cancer, anti-migratory and anti-metastatic properties in laboratory settings (Wang et al., 2009;Pan et al., 2011;Qu et al., 2016). Research suggests that TCM natural compound mixtures might synergistically trigger therapeutic benefits through the action of multiple components affecting multiple regulatory signaling targets (Wang et al., 2008). Compound Kushen injection (CKI) is a TCM anticancer agent which has been approved by the Chinese State Food and Drug Administration to treat solid tumors in combination with chemotherapy drugs in clinics for pain relief, cancer metastasis and enhancement of the immune system since 1995, and is used to treat approximately 30,000 patients daily. Although a large body of evidence has suggested CKI has anti-cancer properties (Xu et al., 2011;Gao et al., 2018) the anti-cancer mechanisms attributable to specific compounds within the mixture remain unknown. CKI contains multiple alkaloid and flavonoid compounds and the main bioactive compounds such as matrine and oxymatrine have shown to affect cancer cells in the lab. However, other medicinal herbs containing these two compounds as main components have demonstrated patient toxicity. It is therefore important to better understand the effects of CKI, particularly with respect the contributions of individual compounds within the mixture. In this thesis, I describe a multi-disciplinary approach including analytical chemistry, cellular assays and transcriptome analysis to explore the effects of several major compounds present in CKI. Through the application of a subtractive fractionation method that removed individual compounds one, two or three at a time, I have been able to map these compounds and their interactions to specific pathways based on altered gene expression profiles. This has illuminated the roles of several major compounds of CKI, that on their own, have no, or minimal, activity in our bioassay. This approach has enabled us to identify the interactions between compounds in a mixture as shown by the response of cancer cell cultures. Using a systems biology approach along with cellular migration and invasion assays, I have mapped the activity of related proteins and pathways which may contribute to the migrastatic activity of CKI. Altogether, this thesis presents an initial characterization of the underlying mechanistic changes induced by CKI. First, by comparing differentially expressed genes across treatment combinations generated using our subtractive fractionation approach, I identified specific candidate pathways that were altered by the removal of compounds from the mixture. Second, by using transcriptome data of a breast cancer cell line, the effects of CKI on candidate anti-migratory pathways for six different cancer cell lines were assessed. These experiments identified specific candidate target pathways through which CKI might act. These approaches can be used to understand the roles and interactions of individual compounds from any complex natural compound mixture whose biological activity cannot be associated with purified compounds.
Thesis (Ph.D.) -- University of Adelaide, School of Biological Sciences, 2019
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Books on the topic "Multi-target medicine"

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Han, Jing-Yan, and Gerald A. Meininger, eds. Traditional Chinese Medicine (TCM): A multi target approach to complex cardiovascular disease - Volume I. Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88971-117-8.

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Book chapters on the topic "Multi-target medicine"

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Chen, Yaqi, Zhui Chen, and Yi Wang. "Immobilized Magnetic Beads-Based Multi-Target Affinity Selection Coupled with HPLC-MS for Screening Active Compounds from Traditional Chinese Medicine and Natural Products." In Methods in Molecular Biology, 121–29. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2447-9_11.

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Dabiri, Yasamin, Guangqi Song, and Xinlai Cheng. "Indirubins as Multi-target Anti-Tumor Agents." In Herbal Medicine Back to the Future: Cancer Therapy, 148–80. BENTHAM SCIENCE PUBLISHERS, 2019. http://dx.doi.org/10.2174/9789811411205119030007.

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Lu, Chen, Limin Ma, Haozhen Wang, Xiuting Huang, Xiujin Zhang, Ziyin Lu, and Xiuli Lu. "A Network Pharmacology Study to Explore Mechanism of the Drug Pair of Astragalus-Saposhnikoviae Radix in the Treatment of Allergic Rhinitis." In Computer Methods in Medicine and Health Care. IOS Press, 2021. http://dx.doi.org/10.3233/atde210242.

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Allergic rhinitis (AR) has now become one of the major diseases affecting people’s lives, and Traditional Chinese medicine (TCM) always has good efficacy in clinical treatment. In the present study, we analyzed the most frequently used drug pair of Astragalus-Saposhnikoviae Radix (SR) in prescriptions for the treatment of allergic rhinitis by network pharmacology to reveal the modern pharmacological mechanisms of drug prevention and treatment of the disease. Firstly, the 38 active ingredients with good ADME properties from the Astragalus-SR drug pair were collected from the database, and the collated drug targets of Astragalus and SR and the targets of allergic rhinitis were mapped against each other by the network visualization software Cytoscape, followed by the establishment of a “drug active ingredient-target-disease” network diagram and the construction of a high-confidence protein-protein interaction network. Then, the common targets obtained from the disease and drug active ingredients were imported by R language for GO enrichment analysis and KEGG pathway enrichment analysis. The KEGG pathways associated with the targets of Astragalus and SR for the treatment of allergic rhinitis obtained from R enrichment analysis were imported into Cytoscape, and the CytoNCA plug-in was loaded to construct a “target-pathway” network map, and the core target wogonin (FN1) was screened. These evidences suggest that the drug pair of Astragalus-SR works in a multi-component, multi-target and integrated modulation manner for the treatment of allergic rhinitis, which provides an important basis for the treatment of allergic rhinitis.
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Jianmongkol, Suree. "Overcoming P-Glycoprotein-Mediated Doxorubicin Resistance." In Advances in Precision Medicine Oncology. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95553.

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Intracellular concentration of doxorubicin in target cancer cells is a major determinant of therapeutic success of doxorubicin-based regimens. As known, doxorubicin is a substrate of P-glycoprotein (P-gp), the drug efflux transporter in the ABC superfamily. High expression level of P-gp in cancer cells can prevent intracellular accumulation of doxorubicin up to its effective level, leading to doxorubicin resistance and treatment failure. Moreover, these P-gp-overexpressed cells display multi-drug resistance (MDR) phenotype. Regarding this, application of P-gp modulators (suppressor of P-gp activity and expression) is likely to reverse MDR and restore cell sensitivity to doxorubicin treatment. In searching for potential chemo-sensitizer against resistant cancer, a number of phytochemicals or dietary compounds have been studied extensively for their P-gp modulating effects. Furthermore, combination between doxorubicin and P-gp modulators (e.g., plant-derived compounds, siRNA) given through specific target delivery platforms have been an effective strategic approach for MDR reversal and restore doxorubicin effectiveness for cancer treatment.
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A. Badria, Farid, Ahmed R. Ali, Ahmed Elbermawi, Yhiya Amen, and Adel F. Badria. "Metformin: A Small Molecule with Multi-Targets and Diverse Therapeutic Applications." In Metformin - A Prospective Alternative for the Treatment of Chronic Diseases [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.108884.

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Metformin is one of the most prescribed agents in the treatment of type 2 diabetes. Its history goes back to the use of goat’s rue (Galega officinalis Linn., Fabaceae). G. officinalis is rich in galegine, a guanidine derivative with a blood glucose-lowering effect. Research based on the effects of guanidine rich on this traditional herbal medicine led to the development of metformin. Metformin continues to serve as a multi-target drug. Its benefits for treating/controlling several diseases were thoroughly discovered over time. These include health disorders such as cancers, obesity, periodontitis, cardiovascular, liver, skin, and renal disorders. Moreover, there is evidence to propose that metformin postpones the aging processes as well as modulates the microbiota to promote better health. So far, it is not fully understood, how metformin can accomplish such pleiotropic pharmacological and therapeutic effects. Metformin may decrease malignancy via suppressing the signal of insulin/IGF-1, avoiding the release of cytokines via NF-κB, and increasing the immune reaction to cancer cells. This chapter discusses the history of metformin discovery, chemistry, its role in diabetic patients, and proposed molecular mechanisms to shed more light on the diverse effects and its ability to target multiple signaling pathways.
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Morphy, Richard, and Zoran Rankovic. "Multi-target Drugs." In The Practice of Medicinal Chemistry, 549–71. Elsevier, 2008. http://dx.doi.org/10.1016/b978-0-12-374194-3.00027-5.

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Dwivedi, Archana, and Deepika Joshi. "Indopathy for Neuroprotection in Parkinson’s Disease." In Indopathy for Neuroprotection: Recent Advances, 39–71. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815050868122010007.

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Parkinson’s disease (PD) is a chronic, multi-system, complex neurodegenerative disorder pathologically characterized by motor dysfunctions caused mainly due to the loss of dopamine (DA) neurotransmitters producing dopaminergic (DAergic) neurons. In Ayurveda, which is an indigenous medicine system of India, various medicinal herbs have been used for the treatment of PD since ancient times. A growing number of studies have proven that these Ayurvedic herbs can protect DAergic neurons from neuronal degeneration and hence can increase the level of DA. Phytochemicals or active ingredients present in these Ayurvedic herbs can target oxidative stress, mitochondrial dysfunction, neuroinflammation, apoptosis, and autophagy and can reduce α-synuclein (α-syn) protein aggregation, which are the basic pathological causes of neurodegeneration and can improve the motor ability and sometimes longevity in animal models of PD. The mainstay of treatment of PD is levodopa (L-Dopa), a precursor of DA, used for achieving the optimal level of DA. But its long-term use has debilitating side effects. Ayurvedic herbs have provided relief in PD with no or minimal side-effect even after long-term administration. Some plants, such as M. pruriens, are a natural source of L-Dopa. Here, we have discussed the major classes of phytochemicals found in Ayurvedic medicines and the pathogenic mechanisms of PD targeted by them. After that, we have discussed the recent advances in experimental and clinical data that support the neuroprotective properties of these phytochemicals used in Ayurveda and their potential to be developed as a therapeutic intervention for the prevention of PD.
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Prati, Federica, and Maria Laura Bolognesi. "Tackling Neurodegeneration with Multi-target and Theranostic Small Molecules." In Medicinal Chemistry Reviews, 347–56. Medicinal Chemistry Division of the American Chemical Society, 2015. http://dx.doi.org/10.29200/acsmedchemrev-v50.ch13.

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Kumari, Archana, and Rajesh K. Singh. "Morpholine: Pharmacophore Modulating Pharmacokinetic Properties of Anticancer Leads." In Key Heterocyclic Cores for Smart Anticancer Drug–Design Part II, 137–73. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815040043122020008.

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The morpholine ring is considered the most preferred and versatile heterocylic ring in medicinal chemistry due to its distinctive mechanistic activities that give it various biological activities. The eminence of the morpholine ring to modulate the pharmacokinetic properties of the compound, further makes it a fundamental pharmacophore in developing lead molecules. Multi-drug resistance in cancer leads to discovering selective and potent chemotherapeutic agents. Researchers are designing and synthesizing morpholine derivatives as potential anticancer drugs those act by targeting various signaling pathways driven by various protein kinases in the cell, i.e. Ras-Raf-MEK-ERK (ERK) and PI3K/Akt/mTOR, thereby inhibiting cell proliferation and growth. The potency of natural and synthetic derivatives of morpholine makes it a drug of choice for cancer treatment. Many of the morpholine containing anticancer drugs are under clinical trials. Hence, morpholine ring synthesis also becomes a central target for various scientists using green synthesis by straightforward one-step methods. A substantial literature is available on synthetic techniques of morpholine and substituted morpholine. The present chapter updates diverse new synthetic strategies of the morpholine ring and morpholine derivatives with potent anticancer activity. The chapter will also highlight the clinical data of morpholine derivatives with anticancer activity and mechanism of action. The latest information on novel anticancer morpholine derivatives with structural activity relationship (SAR) is also included. This chapter provides information about the necessary structural modifications required in drugs' chemical structure and contribute to the anticancer drug discovery program.
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Conference papers on the topic "Multi-target medicine"

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Xu, Teng, Jian Chen, Zuoyong Li, and Yuanzheng Cai. "Fall Detection Based on Person Detection and Multi-target Tracking." In 2021 11th International Conference on Information Technology in Medicine and Education (ITME). IEEE, 2021. http://dx.doi.org/10.1109/itme53901.2021.00023.

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Yang, Xulei, Hangxing Li, Li Wang, Si Yong Yeo, Yi Su, and Zeng Zeng. "Skin Lesion Analysis By Multi-Target Deep Neural Networks." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8512488.

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Minho Kim, Yongwook Chae, and Sungho Jo. "Hybrid EEG and eye movement interface to multi-directional target selection." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6609612.

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Dickerson, Samuel J., Donald M. Chiarulli, Steven P. Levitan, Craig Carthel, and Stefano Coraluppi. "Dielectrophoresis-based classification of cells using multi-target multiple-hypothesis tracking." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6943862.

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Shakova, Fatima, Yuliya Kirova, and Galina Romanova. "RESEARCH INTO THE MECHANISMS OF MULTI-TARGET EFFECTS OF NEUROPROTECTORS IN THE FOCAL BRAIN ISCHEMIA MODEL." In XVI International interdisciplinary congress "Neuroscience for Medicine and Psychology". LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1340.sudak.ns2020-16/523-524.

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Qian, Peisheng, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, and Zeng Zeng. "Multi-Target Deep Learning for Algal Detection and Classification." In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society. IEEE, 2020. http://dx.doi.org/10.1109/embc44109.2020.9176204.

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Arroyo, Jason D., Emily N. Gallichotte, and Muneesh Tewari. "Abstract A34: Artificial multi-target microRNAs: A new RNA interference approach to enable simultaneous suppression of multiple genes." In Abstracts: AACR Precision Medicine Series: Synthetic Lethal Approaches to Cancer Vulnerabilities - May 17-20, 2013; Bellevue, WA. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1535-7163.pms-a34.

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Kwak, Bongseop, Kinam Park, and Bumsoo Han. "Tumor-on-Chip: Simulation of Complex Transport Around Tumor." In ASME 2013 2nd Global Congress on NanoEngineering for Medicine and Biology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/nemb2013-93314.

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Nanoparticles (NP) offer great potential as drug carriers for targeted delivery to tumor by increasing the delivery efficacy and reducing non-specific accumulation at non-targeted sites [1]. Despite these promising early outcomes [2], the NP delivery to target tumor site is still significantly limited due to complex in vivo transport barriers [3–5]. In order to improve the in vivo delivery efficacy, the NPs should be designed considering all these complex transport barriers beyond currently used enhanced permeation and retention (EPR) effect [6]. However, testing of NP delivery are primarily based on simple 2D or 3D in vitro cell cultures or animal models. However, these static 2D or 3D tumor models oversimplify the actual in vivo tumor environment including the absence of tissue-tissue interactions such as blood-endothelium, endothelium-intersititum, high interstitial fluid pressure, and interstitium-lymphatics [2, 3]. The animal models can provide the testbed with these tissue-tissue interactions, but it is very difficult to establish quantitative understanding of the NP transport at these tissue-tissue interfaces. To address these challenges and bridge the in vitro static models with the animal models, here we developed a 3D multi-layered microfluidic system that mimics the tissue-tissue interactions at tumor microenvironment is developed. The system is then used to investigate the transvascular and interstitial transport of NPs in tumor.
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Апарцин, Константин, and Konstantin Apartsin. "The results of fundamental and translational research carried out In the Department of Biomedical Research and Technology of the SBRAS INC in 2012-2016." In Topical issues of translational medicine: a collection of articles dedicated to the 5th anniversary of the day The creation of a department for biomedical research and technology of the Irkutsk Scientific Center Siberian Branch of RAS. Москва: INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/conferencearticle_58be81eca22ad.

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The results of basic and translational research of the Department of Biomedical Research and Technology of Irkutsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences in 2012–2016 The paper presents the results of interdisciplinary research carried out in 2012–2016. The review includes the study of molecular mechanisms of pathogenesis of reparative regeneration, experimental substantiation of methods of diagnosis and prognosis of systemic disturbances of regeneration process, carrying out clinical trials of medicinal products and the formation of observational studies in the field of personalized medicine, the preparation of practical recommendations on the testing of previously developed surgical methods of prevention or correction of postoperative recovery disorders. New data are obtained on the role of the MAP-kinase cascade in the process of regeneration of muscle tissue. It has been established, that with a significant increase of VEGF concentration at the site of the repair of ischemic myocardium, progenitor cells with the CD34+CD45+ phenotype appear, which opens up prospects for the development of biotechnology to restore the damaged myocardium with its own pool of progenitor cells. The new data on the role of growth factors in the post-infarction remodeling are found. It has been revealed, that in local increase of selenium concentration low intensity of mineralization of forming callus in the area of the damage is observed and the formation of bone regeneration slows down. Prospects for the use of nanocomposites of elemental selenium for modulation of reparative response are marked. The dynamics of the level of free circulating mitochondrial DNA (mtDNA) of blood in the early stages of experimental dyslipidemia has been studied. Atherogenic blood factors do not have a significant effect on the release of the mtDNA from dyslipidemia target cells. On the model of acute small-focal myocardial ischemia, we revealed the increase in the mtDNA levels. Prospects of broadcast of diagnostic mtDNA monitoring technology in myocardial ischemia have been marked. The mtDNA monitoring was first tested as a molecular risk pattern in acute coronary syndrome. In survived patients, the concentration of freely circulating mtDNA in blood plasma was 164 times lower. The probability of death of the patient with a high level of mtDNA (over 4000 copies/mL) was 50 % (logit analysis). Methodological level of translational research in the ISC SB RAS has increased due to effective participation in international multi-center clinical trials of drugs, mainly direct anticoagulants: fondaparinux, edoksabana, betriksabana. “Feedback broadcast” of the results of clinical trials of p38-kinase inhibitor, was carried out in the process of changing the model (initially – neuropathic pain) for coronary atherosclerosis. Technologies of pharmacogenetic testing and personalized treatment of diseases in the employees of the Irkutsk Scientific Center were applied. Step T2. Previously developed at the Irkutsk State Medical University and the Irkutsk Scientific Center of Surgery and Traumatologies approaches to surgical prevention and medicinal correction of postoperative hyposplenism were translated into practical health care. Thus, these results obtained in different areas of translational medicine will determine scientific topics of the department in future research cycle.
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Radwan, Awwad, and Fares Al-Anazi. "Molecular dynamics simulation and free energy calculations of the binding characteristics of multi-target anti-Alzheimer natural compounds isolated from <em>Psoralea Fructus</em> to amyloid β-peptide 42." In 7th International Electronic Conference on Medicinal Chemistry. Basel, Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/ecmc2021-11374.

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