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A semiempirical free energy force field with charge‐based desolvation
Open accessAbstract
The authors describe the development and testing of a semiempirical free energy force field for use in AutoDock4 and similar grid‐based docking methods. The force field is based on a comprehensive thermodynamic model that allows incorporation of intramolecular energies into the predicted free energy of binding. It also incorporates a charge‐based method for evaluation of desolvation designed to use a typical set of atom types. The method has been calibrated on a set of 188 diverse protein–ligand complexes of known structure and binding energy, and tested on a set of 100 complexes of ligands with retroviral proteases. The force field shows improvement in redocking simulations over the previous AutoDock3 force field. © 2007 Wiley Periodicals, Inc. J Comput Chem, 2007
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“The standard force field includes the following terms (eq 1):371where the free energy of binding (FEB) is calculated as a sum of van der Waals (vdW), hydrogen bond (Hbond), Coulomb electrostatic (Elec), desolvation (desolv) and ligand torsional entropy (torsDoF); each term is weighted by a specific value (Wterm) estimated using a linear regression model.37”
From AutoDock4Zn: An Improved AutoDock Force Field for Small-Molecule Docking to Zinc Metalloproteins (2014) · cites this paper as [37]
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“Also, in the Gasteiger38 charge model used in AutoDock,37 oxygen atoms are systematically assigned a more negative charge than nitrogen and sulfur, thus resulting in the preferred candidates for chelating positively charged metal.”
From AutoDock4Zn: An Improved AutoDock Force Field for Small-Molecule Docking to Zinc Metalloproteins (2014) · cites this paper as [37]
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“Similar to all other pairwise interactions in the force field, the interaction between ligand atoms and metals contained in the receptor is described mainly by van der Waals (ΔHvdW) and Coulomb electrostatic (ΔHelec) terms and, to a smaller degree, by the desolvation term (ΔGdesolv).”
From AutoDock4Zn: An Improved AutoDock Force Field for Small-Molecule Docking to Zinc Metalloproteins (2014) · cites this paper as [37]
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Metadata
- Authors
- Huey, R., Morris, G. M., Olson, A. J., & Goodsell, D. S.
- Affiliations
- Scripps Research Institute (US)
- Corresponding author
- Goodsell, David S.
- Venue
- Journal of Computational Chemistry
- Publisher
- Wiley
- Published
- 2007-02
- Volume
- 28
- Issue
- 6
- Pages
- 1145-1152
- ISSN
- 0192-8651 (ISSN-L)
- 1096-987X
- OpenAlex
- W2165526004
- Cited by
- 2,246
- References
- 21
- Citations by year
- 2026: 80 · 2025: 105 · 2024: 115 · 2023: 110 · 2022: 116 · 2021: 114 · 2020: 127 · 2019: 132 · 2018: 112 · 2017: 126 · 2016: 121 · 2015: 108 · 2014: 116 · 2013: 135 · 2012: 151
- FWCI
- 130.12
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Computational Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of General Medical Sciences (P01GM048870, P01 GM48870, R01GM069832)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- protein-ligand docking, desolvation, binding free energy, retroviral protease, redocking, force field calibration
- MeSH terms
- Algorithms, Hydrogen Bonding, Ligands, Mathematical Computing, Models, Chemical, Models, Molecular, Molecular Conformation, Protein Binding, Proteins, Software, Thermodynamics, Water, Drug Design, HIV Protease, HIV Protease Inhibitors, Databases, Protein, Static Electricity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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