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设计一个用于基于晶体学的片段药物发现筛选的多样化高质量文库。

Designing a diverse high-quality library for crystallography-based FBDD screening.

作者信息

Tounge Brett A, Parker Michael H

机构信息

Structural Biology and Medicinal Chemistry, Johnson & Johnson Pharmaceutical Research and Development, L.L.C., Spring House, Pennsylvania, USA.

出版信息

Methods Enzymol. 2011;493:3-20. doi: 10.1016/B978-0-12-381274-2.00001-7.

Abstract

A well-chosen set of fragments is able to cover a large chemical space using a small number of compounds. The actual size and makeup of the fragment set is dependent on the screening method since each technique has its own practical limits in terms of the number of compounds that can be screened and requirements for compound solubility. In this chapter, an overview of the general requirements for a fragment library is presented for different screening platforms. In the case of the FBDD work at Johnson & Johnson Pharmaceutical Research and Development, L.L.C., our main screening technology is X-ray crystallography. Since every soaked protein crystal needs to be diffracted and a protein structure determined to delineate if a fragment binds, the size of our initial screening library cannot be a rate-limiting factor. For this reason, we have chosen 900 as the appropriate primary fragment library size. To choose the best set, we have developed our own mix of simple property ("Rule of 3") and "bad" substructure filtering. While this gets one a long way in terms of limiting the fragment pool, there are still tens of thousands of compounds to choose from after this initial step. Many of the choices left at this stage are not drug-like, so we have developed an FBDD Score to help select a 900-compound set. The details of this score and the filtering are presented.

摘要

精心挑选的一组片段能够用少量化合物覆盖较大的化学空间。片段集的实际大小和组成取决于筛选方法,因为每种技术在可筛选化合物的数量和化合物溶解度要求方面都有其实际限制。在本章中,针对不同的筛选平台概述了片段库的一般要求。以强生制药研发公司有限责任公司的片段药物发现工作为例,我们主要的筛选技术是X射线晶体学。由于每个浸泡过的蛋白质晶体都需要进行衍射并确定蛋白质结构以描绘片段是否结合,我们初始筛选库的大小不能成为限速因素。因此,我们选择900作为合适的初级片段库大小。为了选择最佳的片段集,我们开发了自己的简单性质(“3法则”)和“不良”子结构过滤的组合。虽然这在限制片段库方面有很大帮助,但在这第一步之后仍有成千上万种化合物可供选择。此阶段剩下的许多选择都不像药物,因此我们开发了一个片段药物发现评分来帮助选择一个包含900种化合物的集合。本文介绍了该评分和过滤的详细信息。

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