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SwissParam 2023: A Modern Web-Based Tool for Efficient Small Molecule Parametrization
Open accessAbstract
Most steps of drug discovery are now routinely supported and accelerated by computer-aided drug design tools. Among them, structure-based approaches use the three-dimensional structure of the targeted biomacromolecule as a major source of information. When it comes to calculating the interactions of small molecules with proteins using the equations of molecular mechanics, topologies, atom typing, and force field parameters are required. However, generating parameters for small molecules remains challenging due to the large number of existing chemical groups. The SwissParam web tool was first released in 2011 with the aim of generating parameters and topologies for small molecules based on the Merck molecular force field (MMFF) while being compatible with the CHARMM22/27 force field. Here, we present an updated version of SwissParam, providing various new features, including the possibility to setup covalent ligands. Molecules can now be imported from different file formats or via a molecular sketcher. The MMFF-based approach has been updated to provide parameters and topologies compatible with the CHARMM36 force field. An option was added to generate small molecule parametrizations following the CHARMM General Force Field via the multipurpose atom-typer for CHARMM (MATCH) approach. Additionally, SwissParam now generates information on probable alternative tautomers and protonation states of the query molecule so that the user can consider all microspecies relevant to its compound. The new version of SwissParam is freely available at www.swissparam.ch and can also be accessed through a newly implemented command-line interface.
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Daina, A., Michielin, O., & Zoete, V. (2017) · Scientific Reports · doi:10.1038/srep42717 · Cited by 18,367
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Jeong, N., Park, S., Mahajan, S., Zhou, J., Blotevogel, J., Li, Y., Tong, T., & Chen, Y. (2024) · Nature Communications · doi:10.1038/s41467-024-55320-9 · Cited by 98
Metadata
- Authors
- Bugnon, M., Goullieux, M., Röhrig, U. F., Perez, M. A. S., Daina, A., Michielin, O., & Zoete, V.
- Venue
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Published
- 2023-10-18
- Volume
- 63
- Issue
- 21
- Pages
- 6469-6475
- ISSN
- 1549-9596 (ISSN-L)
- 1549-960X
- OpenAlex
- W4387765156
- Cited by
- 331
- References
- 1
- FWCI
- 43.56
- Type
- journal article
- Language
- en
- Open access
- hybrid
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