Connection Map for Compounds (CMC): A Server for Combinatorial Drug Toxicity and Efficacy Analysis
| العنوان: | Connection Map for Compounds (CMC): A Server for Combinatorial Drug Toxicity and Efficacy Analysis |
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| المؤلفون: | Lixin Zhu, Maria Tsompana, Lei Liu, Yong Wang, Dingfeng Wu, Ruixin Zhu |
| المصدر: | Journal of Chemical Information and Modeling. 56:1615-1621 |
| بيانات النشر: | American Chemical Society (ACS), 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | 0301 basic medicine, Drug, Web server, Time Factors, Drug-Related Side Effects and Adverse Reactions, Databases, Pharmaceutical, Computer science, General Chemical Engineering, media_common.quotation_subject, Computational biology, Library and Information Sciences, computer.software_genre, Bioinformatics, 03 medical and health sciences, Drug Discovery, Humans, Transcriptional expression, Drug Approval, Drug toxicity, media_common, Internet, United States Food and Drug Administration, Drug discovery, Computational Biology, Hep G2 Cells, General Chemistry, United States, Computer Science Applications, 030104 developmental biology, Pharmacogenomics, Clinical safety, Toxicogenomics, computer |
| الوصف: | Drug discovery and development is a costly and time-consuming process with a high risk for failure resulting primarily from a drug's associated clinical safety and efficacy potential. Identifying and eliminating inapt candidate drugs as early as possible is an effective way for reducing unnecessary costs, but limited analytical tools are currently available for this purpose. Recent growth in the area of toxicogenomics and pharmacogenomics has provided with a vast amount of drug expression microarray data. Web servers such as CMap and LTMap have used this information to evaluate drug toxicity and mechanisms of action independently; however, their wider applicability has been limited by the lack of a combinatorial drug-safety type of analysis. Using available genome-wide drug transcriptional expression profiles, we developed the first web server for combinatorial evaluation of toxicity and efficacy of candidate drugs named "Connection Map for Compounds" (CMC). Using CMC, researchers can initially compare their query drug gene signatures with prebuilt gene profiles generated from two large-scale toxicogenomics databases, and subsequently perform a drug efficacy analysis for identification of known mechanisms of drug action or generation of new predictions. CMC provides a novel approach for drug repositioning and early evaluation in drug discovery with its unique combination of toxicity and efficacy analyses, expansibility of data and algorithms, and customization of reference gene profiles. CMC can be freely accessed at http://cadd.tongji.edu.cn/webserver/CMCbp.jsp . |
| تدمد: | 1549-960X 1549-9596 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3534965639e7d792f29e7b6b5bc0577a https://doi.org/10.1021/acs.jcim.6b00397 |
| رقم الأكسشن: | edsair.doi.dedup.....3534965639e7d792f29e7b6b5bc0577a |
| قاعدة البيانات: | OpenAIRE |
Find this issue from the American Chemical Society | تدمد: | 1549960X 15499596 |
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