Assessing the impact of biosimulation on target selection and validation

Didier Scherrer, J.Michael French, Seth Michelson
{"title":"Assessing the impact of biosimulation on target selection and validation","authors":"Didier Scherrer,&nbsp;J.Michael French,&nbsp;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":"1 5","pages":"Pages 184-188"},"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}
引用次数: 4

Abstract

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
评估生物模拟对靶标选择和验证的影响
预测性生物模拟提供了一种独特的能力,可以在人体内环境中探索新的或已知靶点对临床结果的潜在影响。这种方法还允许识别和探索知识空白,从而更好地了解疾病病理生理,并可以将实验室实验集中在疾病涉及的关键途径上,使靶标验证过程更加高效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Recent discoveries in schizophrenia and bipolar disorder Clinical trial technology: at the inflection point A graphical notation for biochemical networks Colin Hill discusses in silico modeling of human cells Electronic clinical trials: a little nostalgia and a little vision
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1