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Статті в журналах з теми "Multi-target medicine"
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.
Повний текст джерелаHäckel, 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.
Повний текст джерелаKeil, 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.
Повний текст джерелаde 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.
Повний текст джерелаTan, 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.
Повний текст джерелаGirrbach, 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.
Повний текст джерелаJärvinen, 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.
Повний текст джерелаLiu, 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.
Повний текст джерелаJäger-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.
Повний текст джерелаVincenzo, 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.
Повний текст джерелаДисертації з теми "Multi-target medicine"
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/.
Повний текст джерелаDi, 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.
Повний текст джерелаOakey, 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.
Повний текст джерелаHerman, 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.
Повний текст джерелаKim, 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.
Повний текст джерелаLorenzo, 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.
Повний текст джерелаMade available in DSpace on 2017-09-13T11:59:49Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 7758959 bytes, checksum: db745d41b196978192ebc789e25f442b (MD5) Previous issue date: 2016-02-26
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.
Aung, Thazin Nwe. "Molecular Mechanisms of Natural Compounds : Compound Kushen Injection (CKI) in Cancer." Thesis, 2019. http://hdl.handle.net/2440/120399.
Повний текст джерелаThesis (Ph.D.) -- University of Adelaide, School of Biological Sciences, 2019
Книги з теми "Multi-target medicine"
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.
Повний текст джерелаЧастини книг з теми "Multi-target medicine"
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.
Повний текст джерелаDabiri, 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.
Повний текст джерелаLu, 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.
Повний текст джерелаJianmongkol, Suree. "Overcoming P-Glycoprotein-Mediated Doxorubicin Resistance." In Advances in Precision Medicine Oncology. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95553.
Повний текст джерелаA. 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.
Повний текст джерелаMorphy, 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.
Повний текст джерелаDwivedi, 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.
Повний текст джерелаPrati, 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.
Повний текст джерелаKumari, 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.
Повний текст джерелаТези доповідей конференцій з теми "Multi-target medicine"
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.
Повний текст джерелаYang, 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.
Повний текст джерелаMinho 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.
Повний текст джерелаDickerson, 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.
Повний текст джерелаShakova, 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.
Повний текст джерелаQian, 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.
Повний текст джерелаArroyo, 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.
Повний текст джерелаKwak, 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.
Повний текст джерелаАпарцин, 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.
Повний текст джерелаRadwan, Awwad, та 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". У 7th International Electronic Conference on Medicinal Chemistry. Basel, Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/ecmc2021-11374.
Повний текст джерела