Cargando…

On the force field optimisation of [Formula: see text] -lactam cores using the force field Toolkit

When employing molecular dynamics (MD) simulations for computer-aided drug design, the quality of the used force fields is highly important. Here we present reparametrisations of the force fields for the core molecules from 9 different [Formula: see text] -lactam classes, for which we utilized the f...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Qiyang, Huang, Tianyang, Xia, Songyan, Otto, Frank, Lee, Tzong-Yi, Huang, Hsien-Da, Chiang, Ying-Chih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399072/
https://www.ncbi.nlm.nih.gov/pubmed/35819650
http://dx.doi.org/10.1007/s10822-022-00464-3
_version_ 1784772442017759232
author Wu, Qiyang
Huang, Tianyang
Xia, Songyan
Otto, Frank
Lee, Tzong-Yi
Huang, Hsien-Da
Chiang, Ying-Chih
author_facet Wu, Qiyang
Huang, Tianyang
Xia, Songyan
Otto, Frank
Lee, Tzong-Yi
Huang, Hsien-Da
Chiang, Ying-Chih
author_sort Wu, Qiyang
collection PubMed
description When employing molecular dynamics (MD) simulations for computer-aided drug design, the quality of the used force fields is highly important. Here we present reparametrisations of the force fields for the core molecules from 9 different [Formula: see text] -lactam classes, for which we utilized the force field Toolkit and Gaussian calculations. We focus on the parametrisation of the dihedral angles, with the goal of reproducing the optimised quantum geometry in MD simulations. Parameters taken from CGenFF turn out to be a good initial guess for the multiplicity of each dihedral angle, but the key to a successful parametrisation is found to lie in the phase shifts. Based on the optimised quantum geometry, we come up with a strategy for predicting the phase shifts prior to the dihedral potential fitting. This allows us to successfully parameterise 8 out of the 11 molecules studied here, while the remaining 3 molecules can also be parameterised with small adjustments. Our work highlights the importance of predicting the dihedral phase shifts in the ligand parametrisation protocol, and provides a simple yet valuable strategy for improving the process of parameterising force fields of drug-like molecules. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10822-022-00464-3.
format Online
Article
Text
id pubmed-9399072
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-93990722022-08-25 On the force field optimisation of [Formula: see text] -lactam cores using the force field Toolkit Wu, Qiyang Huang, Tianyang Xia, Songyan Otto, Frank Lee, Tzong-Yi Huang, Hsien-Da Chiang, Ying-Chih J Comput Aided Mol Des Article When employing molecular dynamics (MD) simulations for computer-aided drug design, the quality of the used force fields is highly important. Here we present reparametrisations of the force fields for the core molecules from 9 different [Formula: see text] -lactam classes, for which we utilized the force field Toolkit and Gaussian calculations. We focus on the parametrisation of the dihedral angles, with the goal of reproducing the optimised quantum geometry in MD simulations. Parameters taken from CGenFF turn out to be a good initial guess for the multiplicity of each dihedral angle, but the key to a successful parametrisation is found to lie in the phase shifts. Based on the optimised quantum geometry, we come up with a strategy for predicting the phase shifts prior to the dihedral potential fitting. This allows us to successfully parameterise 8 out of the 11 molecules studied here, while the remaining 3 molecules can also be parameterised with small adjustments. Our work highlights the importance of predicting the dihedral phase shifts in the ligand parametrisation protocol, and provides a simple yet valuable strategy for improving the process of parameterising force fields of drug-like molecules. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10822-022-00464-3. Springer International Publishing 2022-07-11 2022 /pmc/articles/PMC9399072/ /pubmed/35819650 http://dx.doi.org/10.1007/s10822-022-00464-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wu, Qiyang
Huang, Tianyang
Xia, Songyan
Otto, Frank
Lee, Tzong-Yi
Huang, Hsien-Da
Chiang, Ying-Chih
On the force field optimisation of [Formula: see text] -lactam cores using the force field Toolkit
title On the force field optimisation of [Formula: see text] -lactam cores using the force field Toolkit
title_full On the force field optimisation of [Formula: see text] -lactam cores using the force field Toolkit
title_fullStr On the force field optimisation of [Formula: see text] -lactam cores using the force field Toolkit
title_full_unstemmed On the force field optimisation of [Formula: see text] -lactam cores using the force field Toolkit
title_short On the force field optimisation of [Formula: see text] -lactam cores using the force field Toolkit
title_sort on the force field optimisation of [formula: see text] -lactam cores using the force field toolkit
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399072/
https://www.ncbi.nlm.nih.gov/pubmed/35819650
http://dx.doi.org/10.1007/s10822-022-00464-3
work_keys_str_mv AT wuqiyang ontheforcefieldoptimisationofformulaseetextlactamcoresusingtheforcefieldtoolkit
AT huangtianyang ontheforcefieldoptimisationofformulaseetextlactamcoresusingtheforcefieldtoolkit
AT xiasongyan ontheforcefieldoptimisationofformulaseetextlactamcoresusingtheforcefieldtoolkit
AT ottofrank ontheforcefieldoptimisationofformulaseetextlactamcoresusingtheforcefieldtoolkit
AT leetzongyi ontheforcefieldoptimisationofformulaseetextlactamcoresusingtheforcefieldtoolkit
AT huanghsienda ontheforcefieldoptimisationofformulaseetextlactamcoresusingtheforcefieldtoolkit
AT chiangyingchih ontheforcefieldoptimisationofformulaseetextlactamcoresusingtheforcefieldtoolkit