Journal articles: '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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Kroll, U., and C. Cordes. "Pharmaceutical prerequisites for a multi-target therapy." Phytomedicine 13 (November 2006): 12–19. http://dx.doi.org/10.1016/j.phymed.2006.03.016.

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Li, Xiang, Leihong Wu, Wei Liu, Yecheng Jin, Qian Chen, Linli Wang, Xiaohui Fan, Zheng Li, and Yiyu Cheng. "A Network Pharmacology Study of Chinese Medicine QiShenYiQi to Reveal Its Underlying Multi-Compound, Multi-Target, Multi-Pathway Mode of Action." PLoS ONE 9, no. 5 (May 9, 2014): e95004. http://dx.doi.org/10.1371/journal.pone.0095004.

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Malek, Natalia, Monika Mrugala, Wioletta Makuch, Natalia Kolosowska, Barbara Przewlocka, Marcin Binkowski, Martyna Czaja, Enrico Morera, Vincenzo Di Marzo, and Katarzyna Starowicz. "A multi-target approach for pain treatment." PAIN 156, no. 5 (May 2015): 890–903. http://dx.doi.org/10.1097/j.pain.0000000000000132.

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Antognini, Diego, Claudiu Musat, and Boi Faltings. "Multi-Dimensional Explanation of Target Variables from Documents." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 14 (May 18, 2021): 12507–15. http://dx.doi.org/10.1609/aaai.v35i14.17483.

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Automated predictions require explanations to be interpretable by humans. Past work used attention and rationale mechanisms to find words that predict the target variable of a document. Often though, they result in a tradeoff between noisy explanations or a drop in accuracy. Furthermore, rationale methods cannot capture the multi-faceted nature of justifications for multiple targets, because of the non-probabilistic nature of the mask. In this paper, we propose the Multi-Target Masker (MTM) to address these shortcomings. The novelty lies in the soft multi-dimensional mask that models a relevance probability distribution over the set of target variables to handle ambiguities. Additionally, two regularizers guide MTM to induce long, meaningful explanations. We evaluate MTM on two datasets and show, using standard metrics and human annotations, that the resulting masks are more accurate and coherent than those generated by the state-of-the-art methods. Moreover, MTM is the first to also achieve the highest F1 scores for all the target variables simultaneously.

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Saller, Reinhard, and Matthias Rostock. "Multimorbidität und Multi-Target-Therapie in der Phytotherapie." Praxis 101, no. 25 (December 1, 2012): 1637–42. http://dx.doi.org/10.1024/1661-8157/a001149.

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Die Wirkstoffe pflanzlicher Arzneimittel sind Vielstoffgemische mit Multi-Target-Eigenschaften. Eine Reihe dieser Wirkstoffe besitzt u.a. pleiotrope antiinflammatorische Wirkungen. Eine pleiotrope Entzündungshemmung könnte in der Behandlung multimorbid erkrankter Patienten eine bedeutsame Rolle spielen. Für die Multi-Target-Eigenschaften und den pleiotropen Charakter von Phytotherapeutika liegen mittlerweile eine grosse Anzahl experimenteller Daten vor. Wenngleich bislang noch relativ wenige Untersuchungen im Zusammenhang mit Multimorbidität veröffentlicht sind, so scheinen Behandlungsversuche dennoch nützlich und vertretbar zu sein, insbesondere wenn für solche Arznei- und Heilpflanzen aus anderen Anwendungsbereichen gesicherte Daten über Qualität und Sicherheit dokumentiert sind und eine Übertragung solcher Daten auf die Situation multimorbider Patienten nach fundierter und kritischer Abwägung möglich erscheint. Es besteht jedoch auch hier wie insgesamt beim Komplex Multimorbidität ein grosser Bedarf an sinnvoll geplanter und therapeutisch orientierter Forschung.

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Chen, Yuntao, Bin Wu, guangzhi Luo, xiaoyan Chen, and junlin Liu. "Multi-target tracking algorithm based on YOLO+DeepSORT." Journal of Physics: Conference Series 2414, no. 1 (December 1, 2022): 012018. http://dx.doi.org/10.1088/1742-6596/2414/1/012018.

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Abstract After several years of development, the multi-target tracking algorithm has significantly transitioned from being researched to being put into practical production and life. The application field of human detection and tracking technology is closely related to our daily life. In order to solve the problems of the background complexity, the diversity of object shapes in the application of multi-target algorithms, and the mutual occlusion between multiple tracking targets and the lost target, this paper improves the DeepSORT target tracking algorithm, uses the improved YOLO network to detect pedestrians, inputs the detection frame to the Kalman filter for prediction output, and then uses the Hungarian algorithm to realize a tracking frame and detection frame of the predicted output. The experimental results show that target tracking accuracy is increased by 4.3%, the running time is the shortest, and the number of successfully tracked targets is relatively high.

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Drwal, Malgorzata N., Guillaume Bret, and Esther Kellenberger. "Multi-target Fragments Display Versatile Binding Modes." Molecular Informatics 36, no. 10 (July 10, 2017): 1700042. http://dx.doi.org/10.1002/minf.201700042.

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Cavalli, Andrea, Maria Laura Bolognesi, Anna Minarini, Michela Rosini, Vincenzo Tumiatti, Maurizio Recanatini, and Carlo Melchiorre. "Multi-Target-Directed Ligands To Combat Neurodegenerative Diseases." Journal of Medicinal Chemistry 51, no. 7 (April 2008): 2326. http://dx.doi.org/10.1021/jm800210c.

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Saller, Reinhard, and Jörg Melzer. "Multimorbidität und Multi-Target-Therapie in der Phytotherapie." Forschende Komplementärmedizin / Research in Complementary Medicine 20, s2 (2013): 1. http://dx.doi.org/10.1159/000351724.

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Li, Lin, Lan Zhang, and Cui-cui Yang. "Multi-Target Strategy and Experimental Studies of Traditional Chinese Medicine for Alzheimer's Disease Therapy." Current Topics in Medicinal Chemistry 16, no. 5 (October 22, 2015): 537–48. http://dx.doi.org/10.2174/1568026615666150813144003.

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Murthy, Pavitra, Nur Adania Shaibie, Chooi Ling Lim, Anna Pick Kiong Ling, Soi Moi Chye, and Rhun Yian Koh. "An Overview of Herbal Medicines for Idiopathic Pulmonary Fibrosis." Processes 10, no. 6 (June 6, 2022): 1131. http://dx.doi.org/10.3390/pr10061131.

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Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung scarring condition with the histological characteristic of typical interstitial pneumonia. Injury to alveolar epithelial cells is a critical precursor in the pathogenesis of this disease. The prevalence of IPF is growing exponentially, with substantial morbidity and mortality rates increasing the burden on economic healthcare costs. A multidisciplinary approach for diagnosis is used to rule out the alternative causes of interstitial lung disease. Pirfenidone and nintedanib, two innovative antifibrotic medicines introduced in recent years, have provided therapeutic benefits to many IPF patients, and several IPF medications are in the early phases of clinical trials. However, available medications can cause unpleasant symptoms such as nausea and diarrhoea. More efforts have been made to uncover alternative treatments towards a more personalised patient-centred care and hence improve the outcomes in the IPF patients. Through a multi-level and multi-target treatment approach, herbal medicines, such as Traditional Chinese Medicine (TCM), have been identified as revolutionary medical treatment for IPF. Due to their natural properties, herbal medicines have shown to possess low adverse effects, stable therapeutic impact, and no obvious drug dependencies. Herbal medicines have also shown anti-inflammatory and anti-fibrotic effects, which make them a promising therapeutic target for IPF. A growing number of formulas, herbal components, and various forms of Chinese herbal medicine extracts are available for IPF patients in China. This review summarises the role of herbal medicines in the prevention and treatment of IPF.

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Calcatierra, Verónica, Óscar López, José G. Fernández-Bolaños, Gabriela B. Plata, and José M. Padrón. "Phenolic thio- and selenosemicarbazones as multi-target drugs." European Journal of Medicinal Chemistry 94 (April 2015): 63–72. http://dx.doi.org/10.1016/j.ejmech.2015.02.037.

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Xiong, Dan-dan, Yue Qin, Wen-qing Xu, Rong-quan He, Hua-yu Wu, Dan-min Wei, Jing-jing Zeng, Yi-wu Dang, and Gang Chen. "A Network Pharmacology-Based Analysis of Multi-Target, Multi-Pathway, Multi-Compound Treatment for Ovarian Serous Cystadenocarcinoma." Clinical Drug Investigation 38, no. 10 (August 10, 2018): 909–25. http://dx.doi.org/10.1007/s40261-018-0683-8.

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Selva, A., V. Conte, and P. Colautti. "A MONTE CARLO TOOL FOR MULTI-TARGET NANODOSIMETRY." Radiation Protection Dosimetry 180, no. 1-4 (February 21, 2018): 182–86. http://dx.doi.org/10.1093/rpd/ncy027.

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Jiang, Qinghua, Mingxue Li, Hua Li, and Lixia Chen. "Entrectinib, a new multi-target inhibitor for cancer therapy." Biomedicine & Pharmacotherapy 150 (June 2022): 112974. http://dx.doi.org/10.1016/j.biopha.2022.112974.

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Blesso, Kumar, V. Shristi Sharma, and Mitali V. Shetty. "Insilico Bimolecular Interaction Studies of Natural Compounds for Treatment of Alzheimers Disease." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (September 30, 2022): 340–54. http://dx.doi.org/10.22214/ijraset.2022.46599.

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Abstract: To determine the natural composites that can be used as implicit medicines towards Alzheimer’s complaint. Alzheimer’s complaint is a nonstop progressive and multi-factored neurodegenerative complaint that's known to be the sixth leading cause of death and the most common cause of madness in old, aged people. Alzheimer’s complaint is related to increased situations of the amyloid β peptide( Aβ) along with loss of neurons and synapses. The complaint process is largely associated with amyloid pillars, neurofibrillary befuddlements, and loss of neuronal connections in the brain. In our study, we will be exercising the structural and natural exertion information on specific ligands and compactly study the vital targets that are believed to be effective against Alzheimer’s complaint. The early onset of the domestic Alzheimer's complaint is considered to do due to the mutations in one of three genes those garbling amyloid- beta precursor protein( APP) and Presenilins PSEN1 and PSEN2. utmost mutations in the APP and presenilin genes increase the product of the small proteins known as the amyloid beta( Aβ) 42 proteins, are the main element of the forming amyloid pillars. There are numerous selective targets for the event of antiAD( Alzheimer’s complaint) medicines, and thus the multi-factorial nature of this complaint involves multi-target-directed composites which may be salutary for announcement treatment. The complaint which is known to target the hippocampus that is associated with our memory, further this becomes responsible to instigate the first symptoms of memory impairment. As the complaint progresses so does the degree of memory impairment. The natural emulsion models were considered as multi-target leads using molecular docking ways and also completely analysed grounded on the list affinity values, RMSD values, stability and molecular interactivity studies for the determination of implicit medicine composites to make medicinals. Eventually, the foremost implicit multi-target natural composites against Alzheimer’s complaint are determined and farther validated through the corresponding invitro studies

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Ma, Xiao Hua, Zhe Shi, Chunyan Tan, Yuyang Jiang, Mei Lin Go, Boon Chuan Low, and Yu Zong Chen. "In-Silico Approaches to Multi-target Drug Discovery." Pharmaceutical Research 27, no. 5 (March 11, 2010): 739–49. http://dx.doi.org/10.1007/s11095-010-0065-2.

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Xiang, Zheng, Hao Sun, Xiaojun Cai, Dahui Chen, and Xiaoyong Zheng. "The study on the material basis and the mechanism for anti-renal interstitial fibrosis efficacy of rhubarb through integration of metabonomics and network pharmacology." Molecular BioSystems 11, no. 4 (2015): 1067–78. http://dx.doi.org/10.1039/c4mb00573b.

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The cooperative material basis of the multi-component and multi-target mechanism of action of Traditional Chinese Medicine (TCM) is difficult to elucidate because of the current lack of appropriate techniques and strategies.

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Yan, Zhao, Guangmei Liu, Yang Yang, Ling Chen, Ying Shang, and Qian Hong. "Identifying mechanisms of Epimedii Folium against Alzheimer’s disease via a network pharmacology approach Epimedii Folium treats Alzheimer’s disease via PI3K-AKT." European Journal of Inflammation 19 (January 2021): 205873922110414. http://dx.doi.org/10.1177/20587392211041435.

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To elucidate the mechanism of the multi-target action of Epimedii Folium on Alzheimer’s disease, this study focuses on the analysis of network pharmacology. Based on a bioinformatics approach, this study obtained the effective components of Epimedium through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, predicted the compound targets through the Pharmapper and Swiss target prediction database and then through Gene Expression Omnibus Datasets and Therapeutic Target Database. We collected and analysed of heral and disease targets, constructed the network. Through the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, Gene Ontology enrichment, then the key targets and pathways of Epimedii Folium to cope with Alzheimer’s disease have been identified. Twenty-three bioactive components and 477 potential target genes of Epimedii Folium were identified. A total of 1612 target diseases were identified. Through network module analysis, 30 hub target genes were identified. Through enrichment analysis of the KEGG pathway, hub target genes were largely enriched in the PI3K-AKT signaling pathway. Through the analysis of network pharmacology, it was found that Epimedii Folium might play the role of multi-compound and multi-target therapy through the PI3K-AKT signaling pathway. These findings provide helpful directions for future clinical studies.

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Ovalle-Magallanes, Berenice, Andrés Navarrete, Pierre S. Haddad, Armando R. Tovar, Lilia G. Noriega, Claudia Tovar-Palacio, and Rachel Mata. "Multi-target antidiabetic mechanisms of mexicanolides from Swietenia humilis." Phytomedicine 58 (May 2019): 152891. http://dx.doi.org/10.1016/j.phymed.2019.152891.

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St Laurent, Georges, and Philipp Kapranov. "Genomics in the assessment of a multi-component, multi-target medication in soft tissue disorders." Current Medical Research and Opinion 29, sup2 (March 21, 2013): 11–14. http://dx.doi.org/10.1185/03007995.2013.779879.

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Zhang, Xinzhuang, Jiangyong Gu, Liang Cao, Na Li, Yiming Ma, Zhenzhen Su, Gang Ding, Lirong Chen, Xiaojie Xu, and Wei Xiao. "Network pharmacology study on the mechanism of traditional Chinese medicine for upper respiratory tract infection." Mol. BioSyst. 10, no. 10 (2014): 2517–25. http://dx.doi.org/10.1039/c4mb00164h.

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van Dam, Annemieke, Kim Falkena, Stijn A. den Daas, Isabel Veldhuizen, and Maurice C. G. Aalders. "Improving the visualization of fingermarks using multi-target immunolabeling." Forensic Science International 324 (July 2021): 110804. http://dx.doi.org/10.1016/j.forsciint.2021.110804.

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Li, JiuWei. "Multi-target therapy for autoimmune hemolytic anemia under the guidance of traditional Chinese medicine pharmacology." TMR Theory and Hypothesis 4, no. 3 (2021): 505. http://dx.doi.org/10.53388/tmrth202109004.

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Cheong, Siew Lee, Jian Kai Tiew, Yi Hang Fong, How Wan Leong, Yew Mun Chan, Zhi Ling Chan, and Ethan Wei Jie Kong. "Current Pharmacotherapy and Multi-Target Approaches for Alzheimer’s Disease." Pharmaceuticals 15, no. 12 (December 14, 2022): 1560. http://dx.doi.org/10.3390/ph15121560.

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Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by decreased synaptic transmission and cerebral atrophy with appearance of amyloid plaques and neurofibrillary tangles. Cognitive, functional, and behavioral alterations are commonly associated with the disease. Different pathophysiological pathways of AD have been proposed, some of which interact and influence one another. Current treatment for AD mainly involves the use of therapeutic agents to alleviate the symptoms in AD patients. The conventional single-target treatment approaches do not often cause the desired effect in the disease due to its multifactorial origin. Thus, multi-target strategies have since been undertaken, which aim to simultaneously target multiple targets involved in the development of AD. In this review, we provide an overview of the pathogenesis of AD and the current drug therapies for the disease. Additionally, rationales of the multi-target approaches and examples of multi-target drugs with pharmacological actions against AD are also discussed.

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Carvalho Chanel, Caroline, Florent Teichteil-Königsbuch, and Charles Lesire. "Multi-Target Detection and Recognition by UAVs Using Online POMDPs." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (June 29, 2013): 1381–87. http://dx.doi.org/10.1609/aaai.v27i1.8551.

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This paper tackles high-level decision-making techniques for robotic missions, which involve both active sensing and symbolic goal reaching, under uncertain probabilistic environments and strong time constraints. Our case study is a POMDP model of an online multi-target detection and recognition mission by an autonomous UAV. The POMDP model of the multi-target detection and recognition problem is generated online from a list of areas of interest, which are automatically extracted at the beginning of the flight from a coarse-grained high altitude observation of the scene. The POMDP observation model relies on a statistical abstraction of an image processing algorithm's output used to detect targets. As the POMDP problem cannot be known and thus optimized before the beginning of the flight, our main contribution is an "optimize-while-execute" algorithmic framework: it drives a POMDP sub-planner to optimize and execute the POMDP policy in parallel under action duration constraints. We present new results from real outdoor flights and SAIL simulations, which highlight both the benefits of using POMDPs in multi-target detection and recognition missions, and of our "optimize-while-execute" paradigm.

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Sanam Nisar, Mangi, Ullah Mohib, and Alaya Cheikh Faouzi. "Quantitative analysis of deep learning based multi-target tracking algorithms." Electronic Imaging 34, no. 6 (January 16, 2022): 274–1. http://dx.doi.org/10.2352/ei.2022.34.6.iriacv-274.

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de Oliveira, Pedro Gonçalves, Lara Termini, Edison Luiz Durigon, Ana Paula Lepique, Andrei C. Sposito, and Enrique Boccardo. "Diacerein: A potential multi-target therapeutic drug for COVID-19." Medical Hypotheses 144 (November 2020): 109920. http://dx.doi.org/10.1016/j.mehy.2020.109920.

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Assadi, Majid, Narges Jokar, Mojtaba Ghasemi, Iraj Nabipour, Ali Gholamrezanezhad, and Hojjat Ahmadzadehfar. "Precision Medicine Approach in Prostate Cancer." Current Pharmaceutical Design 26, no. 31 (September 17, 2020): 3783–98. http://dx.doi.org/10.2174/1381612826666200218104921.

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Prostate cancer is the most prevalent type of cancer and the second cause of death in men worldwide. Various diagnostic and treatment procedures are available for this type of malignancy, but High-grade or locally advanced prostate cancers showed the potential to develop to lethal phase that can be causing dead. Therefore, new approaches are needed to prolong patients’ survival and to improve their quality of life. Precision medicine is a novel emerging field that plays an essential role in identifying new sub-classifications of diseases and in providing guidance in treatment that is based on individual multi-omics data. Multi-omics approaches include the use of genomics, transcriptomics, proteomics, metabolomics, epigenomics and phenomics data to unravel the complexity of a disease-associated biological network, to predict prognostic biomarkers, and to identify new targeted drugs for individual cancer patients. We review the impact of multi-omics data in the framework of systems biology in the era of precision medicine, emphasising the combination of molecular imaging modalities with highthroughput techniques and the new treatments that target metabolic pathways involved in prostate cancer.

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Sheng, Jiangyun, Phuong T. M. Nguyen, and Robert E. Marquis. "Multi-target antimicrobial actions of zinc against oral anaerobes." Archives of Oral Biology 50, no. 8 (August 2005): 747–57. http://dx.doi.org/10.1016/j.archoralbio.2005.01.003.

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Guo, Shuai, Xue Bai, Sai Shi, Shuting Li, Xinyi Liu, Hailong An, and Xianjiang Kang. "Multi-target tracheloside and doxorubicin combined treatment of lung adenocarcinoma." Biomedicine & Pharmacotherapy 153 (September 2022): 113392. http://dx.doi.org/10.1016/j.biopha.2022.113392.

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Julius, Angeline, and Waheeta Hopper. "A non-invasive, multi-target approach to treat diabetic retinopathy." Biomedicine & Pharmacotherapy 109 (January 2019): 708–15. http://dx.doi.org/10.1016/j.biopha.2018.10.185.

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Zhang, Yan Ling, Yuan Ming Wang, and Yan Jiang Qiao. "Virtual Screening in Chinese Herbs with Multi-Target Effect on Alzheimer's Disease." Advanced Materials Research 765-767 (September 2013): 256–60. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.256.

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Multiple targets which closely related to Alzheimer's disease (AD) pathogenesis were selected for pharmacophore models generation and virtual screening in Chinese herbs. The targets comprised Acetylcholinesterase (AchE), muscarinic receptor 1 (M1), γ-secretase and glycogen synthase kinase 3β (GSK-3β). The pharmacophore models, which of AchE inhibitors, M1 agonists, γ-secretase inhibitors and GSK-3β inhibitors, were constructed by distance comparison method. Four testing databases for the evaluation of pharmacophore models were constructed with the active compounds with clearly marked activity on each target. The metric CAI (Comprehensive Appraisal Index) was then used to evaluate and obtain the best pharmacophore models of each target, which were then applied to screen the Traditional Chinese Medicine Database for potential active compounds in Chinese herbs. Four common used herbs were obtained, which contain the active compounds and can act on multiple targets, and were expected to have multiple activity of anti-AD disease.

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Stumpfe, Dagmar, Alexander Hoch, and Jürgen Bajorath. "Introducing the metacore concept for multi-target ligand design." RSC Medicinal Chemistry 12, no. 4 (2021): 628–35. http://dx.doi.org/10.1039/d1md00056j.

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Xiong, Zhaoping, Minji Jeon, Robert J. Allaway, Jaewoo Kang, Donghyeon Park, Jinhyuk Lee, Hwisang Jeon, et al. "Crowdsourced identification of multi-target kinase inhibitors for RET- and TAU- based disease: The Multi-Targeting Drug DREAM Challenge." PLOS Computational Biology 17, no. 9 (September 14, 2021): e1009302. http://dx.doi.org/10.1371/journal.pcbi.1009302.

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A continuing challenge in modern medicine is the identification of safer and more efficacious drugs. Precision therapeutics, which have one molecular target, have been long promised to be safer and more effective than traditional therapies. This approach has proven to be challenging for multiple reasons including lack of efficacy, rapidly acquired drug resistance, and narrow patient eligibility criteria. An alternative approach is the development of drugs that address the overall disease network by targeting multiple biological targets (‘polypharmacology’). Rational development of these molecules will require improved methods for predicting single chemical structures that target multiple drug targets. To address this need, we developed the Multi-Targeting Drug DREAM Challenge, in which we challenged participants to predict single chemical entities that target pro-targets but avoid anti-targets for two unrelated diseases: RET-based tumors and a common form of inherited Tauopathy. Here, we report the results of this DREAM Challenge and the development of two neural network-based machine learning approaches that were applied to the challenge of rational polypharmacology. Together, these platforms provide a potentially useful first step towards developing lead therapeutic compounds that address disease complexity through rational polypharmacology.

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Zhang, Yujiao, Alain Tedgui, and Hafid Ait-Oufella. "Allograft inflammatory factor-1, a multi-target regulator of atherosclerosis." Atherosclerosis 289 (October 2019): 179–80. http://dx.doi.org/10.1016/j.atherosclerosis.2019.08.008.

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Bieler, Michael, Michael Reutlinger, Tiago Rodrigues, Petra Schneider, Jan M. Kriegl, and Gisbert Schneider. "Designing Multi-target Compound Libraries with Gaussian Process Models." Molecular Informatics 35, no. 5 (March 2, 2016): 192–98. http://dx.doi.org/10.1002/minf.201501012.

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Sorrentino, Alberto, Lauri Parkkonen, Annalisa Pascarella, Cristina Campi, and Michele Piana. "Dynamical MEG source modeling with multi-target Bayesian filtering." Human Brain Mapping 30, no. 6 (June 2009): 1911–21. http://dx.doi.org/10.1002/hbm.20786.

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Allescher, Hans-Dieter, Mario H. Müller, Bettina R. Vinson, Olaf Kelber, and Dieter Weiser. "STW 5: Multi-Target-Therapie bei funktionellen Magen-Darm-Erkrankungen." Zeitschrift für Phytotherapie 30, no. 03 (June 2009): 123–29. http://dx.doi.org/10.1055/s-0029-1225927.

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Chakraborty, Sandipan, Jaya Bandyopadhyay, Sourav Chakraborty, and Soumalee Basu. "Multi-target screening mines hesperidin as a multi-potent inhibitor: Implication in Alzheimer's disease therapeutics." European Journal of Medicinal Chemistry 121 (October 2016): 810–22. http://dx.doi.org/10.1016/j.ejmech.2016.03.057.

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Journal articles on the topic 'Multi-target medicine'

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