Force Field X: A computational microscope to study genetic variation and organic crystals using theory and experiment

Author:

Gogal Rose A.1ORCID,Nessler Aaron J.1ORCID,Thiel Andrew C.1ORCID,Bernabe Hernan V.1,Corrigan Grove Rae A.2ORCID,Cousineau Leah M.3,Litman Jacob M.3ORCID,Miller Jacob M.1ORCID,Qi Guowei3ORCID,Speranza Matthew J.1ORCID,Tollefson Mallory R.1ORCID,Fenn Timothy D.4ORCID,Michaelson Jacob J.5ORCID,Okada Okimasa6ORCID,Piquemal Jean-Philip7ORCID,Ponder Jay W.8ORCID,Shen Jana9ORCID,Smith Richard J. H.10ORCID,Yang Wei1ORCID,Ren Pengyu11ORCID,Schnieders Michael J.13ORCID

Affiliation:

1. Roy J. Carver Department of Biomedical Engineering, University of Iowa 1 , Iowa City, Iowa 52242, USA

2. Theoretical Division, Los Alamos National Laboratory 2 , Los Alamos, New Mexico 87545, USA

3. Department of Biochemistry and Molecular Biology, University of Iowa 3 , Iowa City, Iowa 52242, USA

4. Analytical Development, LEXEO Therapeutics 4 , New York, New York 10010, USA

5. Department of Psychiatry, University of Iowa Hospitals and Clinics 5 , Iowa City, Iowa 52242, USA

6. Sohyaku Innovative Research Division, Mitsubishi Tanabe Pharma Corporation 6 , 1000 Kamoshida-cho, Aoba-ku, Yokohama, Kanagawa 227-0033, Japan

7. Department of Chemistry, Sorbonne Université 7 , F-75005 Paris, France

8. Department of Chemistry, Washington University in St. Louis 8 , St. Louis, Missouri 63130, USA

9. Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy 9 , Baltimore, Maryland 21201, USA

10. Molecular Otolaryngology and Renal Research Laboratories, Department of Otolaryngology, University of Iowa Hospitals and Clinics 10 , Iowa City, Iowa 52242, USA

11. Department of Biomedical Engineering, University of Texas 13 , Austin, Texas 78712, USA

Abstract

Force Field X (FFX) is an open-source software package for atomic resolution modeling of genetic variants and organic crystals that leverages advanced potential energy functions and experimental data. FFX currently consists of nine modular packages with novel algorithms that include global optimization via a many-body expansion, acid–base chemistry using polarizable constant-pH molecular dynamics, estimation of free energy differences, generalized Kirkwood implicit solvent models, and many more. Applications of FFX focus on the use and development of a crystal structure prediction pipeline, biomolecular structure refinement against experimental datasets, and estimation of the thermodynamic effects of genetic variants on both proteins and nucleic acids. The use of Parallel Java and OpenMM combines to offer shared memory, message passing, and graphics processing unit parallelization for high performance simulations. Overall, the FFX platform serves as a computational microscope to study systems ranging from organic crystals to solvated biomolecular systems.

Funder

National Science Foundation

National Institute on Deafness and Other Communication Disorders

National Science Foundation Graduate Research Fellowship Program

National Institute of General Medical Sciences

Simons Foundation Autism Research Initiative

Publisher

AIP Publishing

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