Andreas Vitalis, David Parker, Fabian Radler, Pablo A. Vargas-Rosales, Yang Zhang, Jean-Rémy Marchand, Amedeo Caflisch
{"title":"Parallelized Tools for the Preparation and Curation of Large Libraries for Virtual Screening","authors":"Andreas Vitalis, David Parker, Fabian Radler, Pablo A. Vargas-Rosales, Yang Zhang, Jean-Rémy Marchand, Amedeo Caflisch","doi":"10.1002/jcc.70074","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>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.</p>\n </div>","PeriodicalId":188,"journal":{"name":"Journal of Computational Chemistry","volume":"46 7","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Chemistry","FirstCategoryId":"92","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jcc.70074","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.