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ZENODO
Software . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
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Workflow and simulation input files to "Current state of open source force fields in protein-ligand binding affinity predictions"

Authors: Gapsys, Vytautas; Hahn, David;

Workflow and simulation input files to "Current state of open source force fields in protein-ligand binding affinity predictions"

Abstract

This record contains additional input files for the simulations carried out for the publication:David F. Hahn, Vytautas Gapsys, Bert L. de Groot, David L. Mobley, and Gary Tresadern, Current state of open source force fields in protein-ligand binding affinity predictions, 2024. Folder Content gromacs_input Input Gromacs[1] mdp files for the following simulations at states A and B, respectively: energy minimization (em), NVT equilibration (nvt), NPT production (npt) and non equilibrium simulaations (morphes). protein_parameters Protein force field parameters for the forcefild Amber99sb*-ILDN [2] workflow_scripts Example workflow scripts which were used to prepare, run, and analyze the simulations. To run these scripts, pmx (https://github.com/dfhahn/pmx)[3] and the Open Force Field toolkit, release 0.8.4.[4] [1] Abraham, M.; Alekseenko, A.; Bergh, C.; Blau, C.; Briand, E.; Doijade, M.; Fleischmann, S.; Gapsys, V.; Gaurav Garg,; Gorelov, S.; Gouaillardet, G.; Gray, A.; M. Eric Irrgang,; Jalalypour, F.; Jordan, J.; Junghans, C.; Prashanth Kanduri,; Keller, S.; Kutzner, C.; Lemkul, J. A.; Lundborg, M.; Merz, P.; Mileti ́c, V.; Morozov, D.; P ́all, S.; Schulz, R.; Shirts, M.; Shvetsov, A.; Soproni, B.; Van Der Spoel, D.; Turner, P.; Uphoff, C.; Villa, A.; Wingberm ̈uhle, S.; Zhmurov, A.; Bauer, P.; Hess, B.; Lindahl, E. GROMACS 2023.2 Manual. 2023, Publisher: Zenodo Version Number: 2023.2. [2] Lindorff-Larsen, K.; Piana, S.; Palmo, K.; Maragakis, P.; Klepeis, J. L.; Dror, R. O.; Shaw, D. E. Improved Side-Chain Torsion Potentials for the Amber ff99SB Protein Force Field. Proteins 2010, 78, 1950–1958. [3] Gapsys, V.; Michielssens, S.; Seeliger, D.; de Groot, B. L. pmx: Automated protein structure and topology generation for alchemical perturbations. J. Comp. Chem. 2015, 36, 348–354. [4] Wagner, J.; Mobley, D. L.; Thompson, M.; Bannan, C.; Chodera, J.; Rizzi, A.; Gokey, T.,; Dotson, D.; Rodrıguez-Guerra, J.; Camila,; Bayly, C.; Horton, J; Behara, P.; Lim, N. M.; Boothroyd, S.; Lim, V.; Sasmal, S.; Smith, D.; Wang, L.-P.; Zhao, Y. openforcefield/openforcefield: 0.8.3 Major bugfix release. 2021; https://zenodo.org/record/4429313

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average