Suppr超能文献

配体效率指数在有效药物发现中的应用:一种统一的向量表述。

Ligand efficiency indices for effective drug discovery: a unifying vector formulation.

机构信息

Department of Pharmaceutical Sciences, Institute of Tuberculosis Research, Center for Biomolecular Sciences, University of Illinois at Chicago, Chicago, Illinois.

出版信息

Expert Opin Drug Discov. 2021 Jul;16(7):763-775. doi: 10.1080/17460441.2021.1884065. Epub 2021 Mar 11.

Abstract

INTRODUCTION

The area of ligand efficiency indices (LEIs) in drug discovery has developed significantly since the initial publications nearly 20 years ago. A large number of different LEIs have been defined and applied with certain degrees of success and acceptance in the community. An overall view emphasizing more the common elements than the differences is needed.

AREAS COVERED

In this review, the author accentuates the numerical and algebraic relationships among the different LEIs and proposes the notion of 'ligand efficiency index' (LEI) as a vector variable comprising two interrelated components that provide 'direction' and 'distance' along the drug discovery process. The same concept had been suggested before relating to the graphical representation of the content of Structure-Activity Databases (SAR-Databases).

EXPERT OPINION

The extension of the concept of ligand efficiency from a scalar to a vector will help to unify the different formulations by emphasizing the relationship among the different variables. It should also provide an algebraically robust framework to critically assess the value of LEIs, and to incorporate them routinely in various workflows and protocols. Only cautious and rigorous testing by the community could provide a definitive proof of their possible value as reliable optimization variables in drug discovery.

摘要

简介

自近 20 年前首次发表以来,配体效率指数(LEIs)在药物发现领域得到了显著发展。已经定义了大量不同的 LEIs,并在该领域得到了一定程度的成功和认可。需要从强调共同要素而非差异的整体角度来看待这一问题。

涵盖领域

在这篇综述中,作者强调了不同 LEIs 之间的数值和代数关系,并提出了“配体效率指数”(LEI)的概念,将其作为一个向量变量,包含两个相互关联的组成部分,为药物发现过程提供“方向”和“距离”。这一概念之前曾在与结构活性数据库(SAR 数据库)内容的图形表示相关联时提出过。

专家意见

将配体效率的概念从标量扩展到向量,将有助于通过强调不同变量之间的关系来统一不同的配方。它还应该提供一个代数稳健的框架,以批判性地评估 LEIs 的价值,并将其常规纳入各种工作流程和协议中。只有社区进行谨慎和严格的测试,才能提供明确的证据证明它们作为药物发现中可靠优化变量的可能价值。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验