MTi, INSERM, UMR-S 973 - University Paris Diderot, 35 Rue Helene Brion, 75205 Paris Cedex 13, France
Expert Opin Drug Discov. 2011 Mar;6(3):339-51. doi: 10.1517/17460441.2011.554393. Epub 2011 Feb 18.
Drug discovery is a time consuming and costly process. Thus, a trend towards the use of in silico approaches such as structure- and ligand-based virtual screening methods to speed up the process has gained significant momentum in recent years. Most of these in silico applications require a good quality 3D structure of the small drug-like molecules as input.
This article reviews the algorithm and validation of the open-source software DG-AMMOS, a tool that generates the 3D conformation of small molecules using distance geometry construction and molecular mechanics optimization comparing its performance with some related free and commercial packages.
The number of chemo/bioinformatics free and/or open-source tools assisting drug discovery projects is increasing, and many successful contributions making use of these computer programs have been reported. DG-AMMOS is an efficient 3D structure generator engine that provides fast and reliable generation of 3D structures and contributes to the preparation of a compound collection. DG-AMMOS can still be improved and an increased speed and user-friendly interface in addition to the implementation of workflow engines will increase its effectiveness.
药物发现是一个耗时且昂贵的过程。因此,近年来,使用基于结构和基于配体的虚拟筛选方法等计算方法来加速这一过程的趋势已经显著增强。这些基于计算的应用大多需要小分子的高质量 3D 结构作为输入。
本文综述了开源软件 DG-AMMOS 的算法和验证,该工具使用距离几何构建和分子力学优化来生成小分子的 3D 构象,并将其性能与一些相关的免费和商业软件包进行比较。
辅助药物发现项目的化学/生物信息学免费和/或开源工具的数量正在增加,并且已经报道了许多成功利用这些计算机程序的贡献。DG-AMMOS 是一个高效的 3D 结构生成引擎,它可以快速可靠地生成 3D 结构,并有助于化合物库的准备。DG-AMMOS 仍可以改进,增加速度和用户友好的界面,以及实施工作流程引擎,将提高其有效性。