{"title":"研究小分子在疾病中的作用的计算方法","authors":"Monica Campillos","doi":"10.1016/j.pisc.2016.08.001","DOIUrl":null,"url":null,"abstract":"<div><p>An enormous amount of molecular and phenotypic information of drugs as well as diseases is now available in public repositories. Computational analysis of these datasets is facilitating the acquisition of a systems view of how drugs act on our human organism and interfere with diseases. Here, I highlight recent approaches integrating large-scale information of drugs and diseases that are contributing to change our current view on how drugs interfere with human diseases.</p></div>","PeriodicalId":92112,"journal":{"name":"Perspectives in science","volume":"9 ","pages":"Pages 49-52"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.pisc.2016.08.001","citationCount":"3","resultStr":"{\"title\":\"Computational approaches for the study of the role of small molecules in diseases\",\"authors\":\"Monica Campillos\",\"doi\":\"10.1016/j.pisc.2016.08.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>An enormous amount of molecular and phenotypic information of drugs as well as diseases is now available in public repositories. Computational analysis of these datasets is facilitating the acquisition of a systems view of how drugs act on our human organism and interfere with diseases. Here, I highlight recent approaches integrating large-scale information of drugs and diseases that are contributing to change our current view on how drugs interfere with human diseases.</p></div>\",\"PeriodicalId\":92112,\"journal\":{\"name\":\"Perspectives in science\",\"volume\":\"9 \",\"pages\":\"Pages 49-52\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.pisc.2016.08.001\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Perspectives in science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213020916302245\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Perspectives in science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213020916302245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computational approaches for the study of the role of small molecules in diseases
An enormous amount of molecular and phenotypic information of drugs as well as diseases is now available in public repositories. Computational analysis of these datasets is facilitating the acquisition of a systems view of how drugs act on our human organism and interfere with diseases. Here, I highlight recent approaches integrating large-scale information of drugs and diseases that are contributing to change our current view on how drugs interfere with human diseases.
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