Parallelized Tools for the Preparation and Curation of Large Libraries for Virtual Screening

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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Publication Details

Journal
Journal of Computational Chemistry
Published
2025-03-06
DOI
https://doi.org/10.1002/jcc.70074
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50

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Parallelized Tools for the Preparation and Curation of Large Libraries for Virtual Screening

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1 citations
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1.50
article

Parallelized Tools for the Preparation and Curation of Large Libraries for Virtual Screening

Jean‐Rémy Marchand, Pablo Andrés Vargas-Rosales, Andreas Vitalis, Amedeo Caflisch, David Parker, Yang Zhang, Fabian Radler
article en
1 citations

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.

Journal of Computational ChemistryVol. 46(7)
University of Zurich (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Computational Drug Discovery Methods
1.50
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