Broadening access to small-molecule parameterization with the force field toolkit

Author:

Zeng Yunlin1ORCID,Pavlova Anna1ORCID,Nelson Philip M.234ORCID,Glick Zachary L.234ORCID,Yang Lan1ORCID,Pang Yui Tik1ORCID,Spivak Mariano5ORCID,Licari Giuseppe5ORCID,Tajkhorshid Emad56ORCID,Sherrill C. David234ORCID,Gumbart James C.13ORCID

Affiliation:

1. School of Physics, Georgia Institute of Technology 1 , Atlanta, Georgia 30332, USA

2. Center for Computational Molecular Science and Technology, Georgia Institute of Technology 2 , Atlanta, Georgia 30332, USA

3. School of Chemistry and Biochemistry, Georgia Institute of Technology 3 , Atlanta, Georgia 30332, USA

4. School of Computational Science and Engineering, Georgia Institute of Technology 4 , Atlanta, Georgia 30332, USA

5. Theoretical and Computational Biophysics Group, NIH Resource for Macromolecular Modeling and Visualization, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign 5 , Urbana, Illinois 61801, USA

6. Department of Biochemistry and Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign 6 , Urbana, Illinois 61801, USA

Abstract

Access to accurate force-field parameters for small molecules is crucial for computational studies of their interactions with proteins. Although a number of general force fields for small molecules exist, e.g., CGenFF, GAFF, and OPLS, they do not cover all common chemical groups and their combinations. The Force Field Toolkit (ffTK) provides a comprehensive graphical interface that streamlines the development of classical parameters for small molecules directly from quantum mechanical (QM) calculations, allowing for force-field generation for almost any chemical group and validation of the fit relative to the target data. ffTK relies on supported external software for the QM calculations, but it can generate the necessary QM input files and parse and analyze the QM output. In previous ffTK versions, support for Gaussian and ORCA QM packages was implemented. Here, we add support for Psi4, an open-source QM package free for all users, thereby broadening user access to ffTK. We also compare the parameter sets obtained with the new ffTK version using Gaussian, ORCA, and Psi4 for three molecules: pyrrolidine, n-propylammonium cation, and chlorobenzene. Despite minor differences between the resulting parameter sets for each compound, most prominently in the dihedral and improper terms, we show that conformational distributions sampled in molecular dynamics simulations using these parameter sets are quite comparable.

Publisher

AIP Publishing

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