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DG-AMMOS:一种利用距离几何和自动分子力学优化来生成小分子三维构象的新工具,用于计算机模拟筛选。

DG-AMMOS: a new tool to generate 3d conformation of small molecules using distance geometry and automated molecular mechanics optimization for in silico screening.

作者信息

Lagorce David, Pencheva Tania, Villoutreix Bruno O, Miteva Maria A

机构信息

MTI, INSERM U973 - University Paris Diderot, 5 rue Marie-Andrée Lagroua, 75205 Paris Cedex 13, France.

Centre of Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., 1113 Sofia, Bulgaria.

出版信息

BMC Chem Biol. 2009 Nov 13;9:6. doi: 10.1186/1472-6769-9-6.

Abstract

BACKGROUND

Discovery of new bioactive molecules that could enter drug discovery programs or that could serve as chemical probes is a very complex and costly endeavor. Structure-based and ligand-based in silico screening approaches are nowadays extensively used to complement experimental screening approaches in order to increase the effectiveness of the process and facilitating the screening of thousands or millions of small molecules against a biomolecular target. Both in silico screening methods require as input a suitable chemical compound collection and most often the 3D structure of the small molecules has to be generated since compounds are usually delivered in 1D SMILES, CANSMILES or in 2D SDF formats.

RESULTS

Here, we describe the new open source program DG-AMMOS which allows the generation of the 3D conformation of small molecules using Distance Geometry and their energy minimization via Automated Molecular Mechanics Optimization. The program is validated on the Astex dataset, the ChemBridge Diversity database and on a number of small molecules with known crystal structures extracted from the Cambridge Structural Database. A comparison with the free program Balloon and the well-known commercial program Omega generating the 3D of small molecules is carried out. The results show that the new free program DG-AMMOS is a very efficient 3D structure generator engine.

CONCLUSION

DG-AMMOS provides fast, automated and reliable access to the generation of 3D conformation of small molecules and facilitates the preparation of a compound collection prior to high-throughput virtual screening computations. The validation of DG-AMMOS on several different datasets proves that generated structures are generally of equal quality or sometimes better than structures obtained by other tested methods.

摘要

背景

发现可进入药物研发项目或用作化学探针的新生物活性分子是一项非常复杂且成本高昂的工作。如今,基于结构和基于配体的计算机模拟筛选方法被广泛用于补充实验筛选方法,以提高筛选过程的效率,并便于针对生物分子靶点筛选数千或数百万个小分子。这两种计算机模拟筛选方法都需要合适的化合物集合作为输入,而且由于化合物通常以一维SMILES、CANSMILES或二维SDF格式提供,所以大多数情况下必须生成小分子的三维结构。

结果

在此,我们描述了新的开源程序DG - AMMOS,它能够使用距离几何方法生成小分子的三维构象,并通过自动分子力学优化实现其能量最小化。该程序在阿斯泰克斯数据集、ChemBridge多样性数据库以及从剑桥结构数据库中提取的一些具有已知晶体结构的小分子上进行了验证。还与生成小分子三维结构的免费程序Balloon和著名的商业程序Omega进行了比较。结果表明,新的免费程序DG - AMMOS是一个非常高效的三维结构生成引擎。

结论

DG - AMMOS提供了快速、自动化且可靠的小分子三维构象生成途径,并便于在高通量虚拟筛选计算之前准备化合物集合。DG - AMMOS在几个不同数据集上的验证证明,生成结构的质量通常与其他测试方法获得的结构相当,有时甚至更好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/902e/2781789/9b6666e912ea/1472-6769-9-6-1.jpg

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