The processes used by academic and industrial scientists to discover new drugs have recently experienced a true renaissance with many new and exciting techniques. The number of protein structures and/or chemical ligands is constantly growing, through the use of parallel chemistry, X-ray crystallography, NMR or homology modeling methods and so is the theoretical understanding of protein-ligand interactions. As such, structure-based approaches to drug-design and in silico screening are becoming routine part of most modern lead discovery programs. Prioritization of compound libraries is an extremely important task that aims at the rapid identification of tight-binding ligands and ultimately new therapeutic compounds. These in silico approaches combined with other experimental methods facilitate the design of new medicines to treat cardiovascular, degenerative, infectious, and neoplastic diseases, among others. Here, we review key concepts and specific features of several selected ligand-receptor docking/scoring methods while several other topics pertaining to the field of in silico screening are reviewed in the following articles of this special issue of Current Protein and Peptide Science.

译文

:学术界和工业界科学家发现新药的过程最近通过许多新颖而令人兴奋的技术经历了一次真正的复兴。通过使用平行化学,X射线晶体学,NMR或同源性建模方法,蛋白质结构和/或化学配体的数量不断增长,因此对蛋白质-配体相互作用的理论理解也是如此。因此,基于结构的药物设计和计算机筛查方法已成为大多数现代铅发现计划的常规组成部分。化合物库的优先级排序是一项极其重要的任务,旨在快速识别紧密结合的配体并最终鉴定出新的治疗性化合物。这些计算机模拟方法与其他实验方法相结合,有助于设计用于治疗心血管疾病,退行性疾病,传染性疾病和肿瘤性疾病等的新药。在这里,我们回顾了几种选定的配体-受体对接/计分方法的关键概念和特定特征,与此同时,本期《当前蛋白质与肽科学》特刊的以下文章回顾了与计算机筛选领域有关的其他几个主题。

+1
+2
100研值 100研值 ¥99课程
检索文献一次
下载文献一次

去下载>

成功解锁2个技能,为你点赞

《SCI写作十大必备语法》
解决你的SCI语法难题!

技能熟练度+1

视频课《玩转文献检索》
让你成为检索达人!

恭喜完成新手挑战

手机微信扫一扫,添加好友领取

免费领《Endnote文献管理工具+教程》

微信扫码, 免费领取

手机登录

获取验证码
登录