虚拟筛选
计算机科学
数据整理
计算生物学
情报检索
万维网
化学
生物
药物发现
生物化学
作者
Andreas Vitalis,David Parker,Fabian Radler,Pablo Andrés Vargas-Rosales,Yang Zhang,Jean‐Rémy Marchand,Amedeo Caflisch
出处
期刊:PubMed
日期:2025-03-15
卷期号:46 (7): e70074-e70074
摘要
We introduce a software package, ParaLig, that provides solutions for several workflows occurring repeatedly in computational drug discovery: parameterization of small molecules with partial charges and free energies of solvation, generation of conformers, virtual chemical reactions, creating combinatorial libraries, and molecule editing tasks. Throughout, we emphasize the maintenance/creation of 3D coordinates and better interoperability. The latter is achieved by stable embedding of meta-information into output files and by improving the mutual compatibility of molecular representations (e.g., aromaticity perception). ParaLig wraps around core functionalities provided by a variety of existing software: the two popular cheminformatics packages OpenBabel and RDKit, and the general force field providers CGenFF and AmberTools. Our workflows emphasize scalable bulk processing of large libraries of molecules, and we provide an MPI-based wrapper to simplify deployment to high-performance computing resources. Along with salient descriptions of the methods, we benchmark performance both in terms of throughput and in terms of the quality of some of the results.
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