Rapid parameterization of small molecules using the Force Field Toolkit
By C. Mayne, J. Saam, Klaus Schulten, Emad Tajkhorshid, James C. Gumbart. Journal of Computational Chemistry, 2013
479 citations recorded by the source corpus.
The inability to rapidly generate accurate and robust parameters for novel chemical matter continues to severely limit the application of molecular dynamics simulations to many biological systems of interest, especially in fields such as drug discovery. Although the release of generalized versions of common classical force fields, for example, General Amber Force Field and CHARMM General Force Field, have posited guidelines for parameterization of small molecules, many technical challenges remain that have hampered their wide‐scale extension. The Force Field Toolkit (ffTK), described herein, minimizes common barriers to ligand parameterization through algorithm and method development, automation of tedious and error‐prone tasks, and graphical user interface design. Distributed as a VMD plugin, ffTK facilitates the traversal of a clear and organized workflow resulting in a complete set of CHARMM‐compatible parameters. A variety of tools are provided to generate quantum mechanical target data, setup multidimensional optimization routines, and analyze parameter performance. Parameters developed for a small test set of molecules using ffTK were comparable to existing CGenFF parameters in their ability to reproduce experimentally measured values for pure‐solvent properties (<15% error from experiment) and free energy of solvation (±0.5 kcal/mol from experiment). © 2013 Wiley Periodicals, Inc.
Subfields: Molecular Biology, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/cc04a4a2970d3dcaf22ba469feddc40ad696fe32
Citations in the corpus
- Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery (2020, unknown): “A number of automated tools for parametrizing small molecules, including several in the public domain, have been developed, such as CGenFF, 135,136 GAAMP (https://gaamp. lcrc.anl.gov/index.html), FFTK, 144 and the tools developed by Results are presented for the work here and other recent relative b”