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用于基于计算片段的药物设计的虚拟片段制备

Virtual fragment preparation for computational fragment-based drug design.

作者信息

Ludington Jennifer L

机构信息

Locus Pharmaceuticals, Inc., Blue Bell, PA, USA,

出版信息

Methods Mol Biol. 2015;1289:31-41. doi: 10.1007/978-1-4939-2486-8_4.

Abstract

Fragment-based drug design (FBDD) has become an important component of the drug discovery process. The use of fragments can accelerate both the search for a hit molecule and the development of that hit into a lead molecule for clinical testing. In addition to experimental methodologies for FBDD such as NMR and X-ray Crystallography screens, computational techniques are playing an increasingly important role. The success of the computational simulations is due in large part to how the database of virtual fragments is prepared. In order to prepare the fragments appropriately it is necessary to understand how FBDD differs from other approaches and the issues inherent in building up molecules from smaller fragment pieces. The ultimate goal of these calculations is to link two or more simulated fragments into a molecule that has an experimental binding affinity consistent with the additive predicted binding affinities of the virtual fragments. Computationally predicting binding affinities is a complex process, with many opportunities for introducing error. Therefore, care should be taken with the fragment preparation procedure to avoid introducing additional inaccuracies.This chapter is focused on the preparation process used to create a virtual fragment database. Several key issues of fragment preparation which affect the accuracy of binding affinity predictions are discussed. The first issue is the selection of the two-dimensional atomic structure of the virtual fragment. Although the particular usage of the fragment can affect this choice (i.e., whether the fragment will be used for calibration, binding site characterization, hit identification, or lead optimization), general factors such as synthetic accessibility, size, and flexibility are major considerations in selecting the 2D structure. Other aspects of preparing the virtual fragments for simulation are the generation of three-dimensional conformations and the assignment of the associated atomic point charges.

摘要

基于片段的药物设计(FBDD)已成为药物发现过程的一个重要组成部分。片段的使用可以加速寻找命中分子以及将该命中分子开发成用于临床试验的先导分子的过程。除了FBDD的实验方法,如核磁共振(NMR)和X射线晶体学筛选外,计算技术也发挥着越来越重要的作用。计算模拟的成功在很大程度上取决于虚拟片段数据库的准备方式。为了适当地准备片段,有必要了解FBDD与其他方法的不同之处以及从小片段构建分子所固有的问题。这些计算的最终目标是将两个或更多模拟片段连接成一个分子,其实验结合亲和力与虚拟片段预测的加和结合亲和力一致。计算预测结合亲和力是一个复杂的过程,有许多引入误差的机会。因此,在片段制备过程中应小心避免引入额外的不准确性。本章重点介绍用于创建虚拟片段数据库的制备过程。讨论了影响结合亲和力预测准确性的几个片段制备关键问题。第一个问题是虚拟片段二维原子结构的选择。虽然片段的具体用途会影响这一选择(即片段是否将用于校准、结合位点表征、命中识别或先导优化),但在选择二维结构时,诸如合成可及性、大小和灵活性等一般因素是主要考虑因素。为模拟准备虚拟片段的其他方面包括三维构象的生成和相关原子点电荷的分配。

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