{"title":"评估生物模拟对靶标选择和验证的影响","authors":"Didier Scherrer, J.Michael French, Seth Michelson","doi":"10.1016/S1478-5382(03)02368-0","DOIUrl":null,"url":null,"abstract":"<div><p>Predictive biosimulation provides the unique ability to explore, in a human <em>in vivo</em> context, the potential impact of novel or known targets on clinical outcome. This approach also allows the identification and exploration of knowledge gaps, leading to a better understanding of disease pathophysiology, and can focus laboratory experimentation on the crucial pathways involved in the disease, making the process of target validation more efficient.</p></div>","PeriodicalId":9227,"journal":{"name":"Biosilico","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2003-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1478-5382(03)02368-0","citationCount":"4","resultStr":"{\"title\":\"Assessing the impact of biosimulation on target selection and validation\",\"authors\":\"Didier Scherrer, J.Michael French, Seth Michelson\",\"doi\":\"10.1016/S1478-5382(03)02368-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Predictive biosimulation provides the unique ability to explore, in a human <em>in vivo</em> context, the potential impact of novel or known targets on clinical outcome. This approach also allows the identification and exploration of knowledge gaps, leading to a better understanding of disease pathophysiology, and can focus laboratory experimentation on the crucial pathways involved in the disease, making the process of target validation more efficient.</p></div>\",\"PeriodicalId\":9227,\"journal\":{\"name\":\"Biosilico\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S1478-5382(03)02368-0\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosilico\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1478538203023680\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosilico","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1478538203023680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessing the impact of biosimulation on target selection and validation
Predictive biosimulation provides the unique ability to explore, in a human in vivo context, the potential impact of novel or known targets on clinical outcome. This approach also allows the identification and exploration of knowledge gaps, leading to a better understanding of disease pathophysiology, and can focus laboratory experimentation on the crucial pathways involved in the disease, making the process of target validation more efficient.