Automated docking to multiple target structures: Incorporation of protein mobility and structural water heterogeneity in AutoDock
Abstract
Protein motion and heterogeneity of structural waters are approximated in ligand‐docking simulations, using an ensemble of protein structures. Four methods of combining multiple target structures within a single grid‐based lookup table of interaction energies are tested. The method is evaluated using complexes of 21 peptidomimetic inhibitors with human immunodeficiency virus type 1 (HIV‐1) protease. Several of these structures show motion of an arginine residue, which is essential for binding of large inhibitors. A structural water is also present in 20 of the structures, but it must be absent in the remaining one for proper binding. Mean and minimum methods perform poorly, but two weighted average methods permit consistent and accurate ligand docking, using a single grid representation of the target protein structures. Proteins 2002;46:34–40. © 2001 Wiley‐Liss, Inc.
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The specification and architecture of AutoDock was designed to allow user modification for specialized systems, and has been used previously to model protein flexibility, flexible rings in ligands, zinc interaction, and selective hydration.
“The specification and architecture of AutoDock was designed to allow this type of user modification for specialized systems, and has been used previously to model protein flexibility, 12 flexible rings in ligands, 13 zinc interaction, 14 and selective hydration.15”
From Covalent docking using autodock: two-point attractor and flexible side chain methods. (2016) · cites this paper as [12]
Cites
A new force field for molecular mechanical simulation of nucleic acids and proteins
Weiner, S. J., Kollman, P. A., Case, D. A., Singh, U. C., Ghio, C., Alagona, G., Profeta, S., & Weiner, P. K. (1984) · Journal of the American Chemical Society · doi:10.1021/ja00315a051 · Cited by 4,641 · see citing works
Iterative partial equalization of orbital electronegativity—a rapid access to atomic charges
Gasteiger, J., & Marsili, M. (1980) · Tetrahedron · doi:10.1016/0040-4020(80)80168-2 · Cited by 4,157 · see citing works
Molecular recognition of receptor sites using a genetic algorithm with a description of desolvation
Jones, G., Willett, P., & Glen, R. C. (1995) · Journal of Molecular Biology · doi:10.1016/s0022-2836(95)80037-9 · Cited by 1,548 · see citing works
INHIBITORS OF HIV-1 PROTEASE: A Major Success of Structure-Assisted Drug Design
Wlodawer, A., & Vondrasek, J. (1998) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.biophys.27.1.249 · Cited by 734 · see citing works
Molecular docking to ensembles of protein structures 1 1Edited by B. Honig
Knegtel, R. M. A., Kuntz, I. D., & Oshiro, C. M. (1997) · Journal of Molecular Biology · doi:10.1006/jmbi.1996.0776 · Cited by 393 · see citing works
Ligand docking to proteins with discrete side-chain flexibility
Leach, A. R. (1994) · Journal of Molecular Biology · doi:10.1016/s0022-2836(05)80038-5 · Cited by 363 · see citing works
Structure-Based Molecular Design
Kuntz, I. D., Meng, E. C., & Shoichet, B. K. (1994) · Accounts of Chemical Research · doi:10.1021/ar00041a001 · Cited by 328 · see citing works
Murray, C. W., Baxter, C. A., & Frenkel, A. D. (1999) · Journal of Computer-Aided Molecular Design · doi:10.1023/a:1008015827877 · Cited by 161 · see citing works
Rosenfeld, R., Vajda, S., & DeLisi, C. (1995) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.bb.24.060195.003333 · Cited by 145 · see citing works
Targeting the HIV-protease in AIDS therapy: a current clinical perspective
Tomasselli, A. G., & Heinrikson, R. L. (2000) · Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology · doi:10.1016/s0167-4838(99)00273-3 · Cited by 134 · see citing works
Sandak, B., Wolfson, H. J., & Nussinov, R. (1998) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(19980801)32:2 · Cited by 120 · see citing works
Computer simulations of protein folding by targeted molecular dynamics
Ferrara, P., Apostolakis, J., & Caflisch, A. (2000) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(20000515)39:3 · Cited by 78 · see citing works
Computation of the binding of fully flexible peptides to proteins with flexible side chains
Desmet, J., Wilson, I. A., Joniau, M., et al. (1997) · The FASEB Journal · doi:10.1096/fasebj.11.2.9039959 · Cited by 60 · see citing works
Huang, E. S., Koehl, P., Levitt, M., Pappu, R. V., & Ponder, J. W. (1998) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(19981101)33:2 · Cited by 49 · see citing works
Homology modeling and substrate binding study of human CYP2C18 and CYP2C19 enzymes
Payne, V. A., Chang, Y., & Loew, G. H. (1999) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(19991101)37:2 · Cited by 20 · see citing works
Li, Z., Laidig, K. E., & Daggett, V. (1998) · Journal of Computational Chemistry · doi:10.1002/(sici)1096-987x(19980115)19:1 · Cited by 13 · see citing works
Goedken, E. R., & Marqusee, S. (1998) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(19981001)33:1 · Cited by 11 · see citing works
Loop entanglement of semicrystalline polyethylene in amorphous region: Diamond lattice approach
Duan, Z.-H., & Howard, L. N. (1999) · Journal of Computational Chemistry · doi:10.1002/(sici)1096-987x(199902)20:3 · Cited by 4 · see citing works
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Cited by
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ZINC − A Free Database of Commercially Available Compounds for Virtual Screening
Irwin, J. J., & Shoichet, B. K. (2005) · Journal of Chemical Information and Modeling · doi:10.1021/ci049714+ · Cited by 4,058 · see citing works
Software for molecular docking: a review
Pagadala, N. S., Syed, K., & Tuszynski, J. (2017) · Biophysical Reviews · doi:10.1007/s12551-016-0247-1 · Cited by 1,522 · see citing works
Moitessier, N., Englebienne, P., Lee, D., Lawandi, J., & Corbeil, C. R. (2008) · British Journal of Pharmacology · doi:10.1038/sj.bjp.0707515 · Cited by 514 · see citing works
Flexible ligand docking to multiple receptor conformations: a practical alternative
Totrov, M., & Abagyan, R. (2008) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2008.01.004 · Cited by 497 · see citing works
Modeling water molecules in protein-ligand docking using GOLD.
Verdonk, M. L., Chessari, G., Cole, J. C., Hartshorn, M. J., Murray, C. W., Nissink, J. W. M., Taylor, R. D., & Taylor, R. (2005) · Journal of Medicinal Chemistry · doi:10.1021/jm050543p · Cited by 393 · see citing works
Santos-Martins, D., Forli, S., Ramos, M. J., & Olson, A. J. (2014) · Journal of Chemical Information and Modeling · doi:10.1021/ci500209e · Cited by 318 · see citing works
Self-citationA Force Field with Discrete Displaceable Waters and Desolvation Entropy for Hydrated Ligand Docking
Forli, S., & Olson, A. J. (2012) · Journal of Medicinal Chemistry · doi:10.1021/jm2005145 · Cited by 290 · see citing works
Self-citationCovalent docking using autodock: two-point attractor and flexible side chain methods.
Bianco, G., Forli, S., Goodsell, D. S., & Olson, A. J. (2016) · Protein Science · doi:10.1002/pro.2733 · Cited by 246 · see citing works
Self-citationA model binding site for testing scoring functions in molecular docking.
Wei, B. Q., Baase, W. A., Weaver, L. H., Matthews, B. W., & Shoichet, B. K. (2002) · Journal of Molecular Biology · doi:10.1016/s0022-2836(02)00777-5 · Cited by 237 · see citing works
Molecular Docking Screens Using Comparative Models of Proteins
Fan, H., Irwin, J. J., Webb, B. M., Klebe, G., Shoichet, B. K., & Sali, A. (2009) · Journal of Chemical Information and Modeling · doi:10.1021/ci9003706 · Cited by 135 · see citing works
Understanding the challenges of protein flexibility in drug design.
Antunes, D. A., Devaurs, D., & Kavraki, L. E. (2015) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.2015.1094458 · Cited by 131 · see citing works
Forli, S., & Botta, M. (2007) · Journal of Chemical Information and Modeling · doi:10.1021/ci700036j · Cited by 58 · see citing works
- Authors
- Österberg, F., Morris, G. M., Sanner, M. F., Olson, A. J., & Goodsell, D. S.
- Affiliations
- Scripps Research Institute (US)
- Corresponding author
- Goodsell, David S.
- Venue
- Proteins: Structure, Function, and Bioinformatics
- Publisher
- Wiley
- Published
- 2001-11-15
- Volume
- 46
- Issue
- 1
- Pages
- 34-40
- ISSN
- 0887-3585 (ISSN-L)
- 1097-0134
- OpenAlex
- W2062378498
- Cited by
- 474
- References
- 19
- Citations by year
- 2026: 4 · 2025: 14 · 2024: 11 · 2023: 23 · 2022: 14 · 2021: 17 · 2020: 16 · 2019: 16 · 2018: 15 · 2017: 13 · 2016: 19 · 2015: 26 · 2014: 18 · 2013: 17 · 2012: 26
- FWCI
- 23.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Proteins Structure Function and Bioinformatics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (P01 GM48870)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
- Keywords
- AutoDock, protein-ligand docking, protein conformational ensembles, protein mobility, HIV-1 protease, peptidomimetic inhibitors
- MeSH terms
- Computer Simulation, Ligands, Motion, Protein Conformation, Proteins, Water, Pliability
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