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A model binding site for testing scoring functions in molecular docking.
Abstract
Prediction of interaction energies between ligands and their receptors remains a major challenge for structure-based inhibitor discovery. Much effort has been devoted to developing scoring schemes that can successfully rank the affinities of a diverse set of possible ligands to a binding site for which the structure is known. To test these scoring functions, well-characterized experimental systems can be very useful. Here, mutation-created binding sites in T4 lysozyme were used to investigate how the quality of atomic charges and solvation energies affects molecular docking. Atomic charges and solvation energies were calculated for 172,118 molecules in the Available Chemicals Directory using a semi-empirical quantum mechanical approach by the program AMSOL. The database was first screened against the apolar cavity site created by the mutation Leu99Ala (L99A). Compared to the electronegativity-based charges that are widely used, the new charges and desolvation energies improved ranking of known apolar ligands, and better distinguished them from more polar isosteres that are not observed to bind. To investigate whether the new charges had predictive value, the non-polar residue Met102, which forms part of the binding site, was changed to the polar residue glutamine. The structure of the resulting Leu99Ala and Met102Gln double mutant of T4 lysozyme (L99A/M102Q) was determined and the docking calculation was repeated for the new site. Seven representative polar molecules that preferentially docked to the polar versus the apolar binding site were tested experimentally. All seven bind to the polar cavity (L99A/M102Q) but do not detectably bind to the apolar cavity (L99A). Five ligand-bound structures of L99A/M102Q were determined by X-ray crystallography. Docking predictions corresponded to the crystallographic results to within 0.4A RMSD. Improved treatment of partial atomic charges and desolvation energies in database docking appears feasible and leads to better distinction of true ligands. Simple model binding sites, such as L99A and its more polar variants, may find broad use in the development and testing of docking algorithms.
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“In this context, the development of scoring functions adapted for flexible receptor docking is crucial to achieve real improvements in pose and affinity prediction (Totrov and Abagyan, 1997; Wei et al., 2002; Fischer et al., 2014; Ravindranath et al., 2015; Lam et al., 2017; Kong et al., 2018).”
From Empirical scoring functions for structure-based virtual screening: applications, critical aspects, and challenges (2018) · cites this paper as Wei et al., 2002
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Metadata
- Authors
- Wei, B. Q., Baase, W. A., Weaver, L. H., Matthews, B. W., & Shoichet, B. K.
- Affiliations
- Northwestern University (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Matthews, Brian W.
- Shoichet, Brian K.
- Venue
- Journal of Molecular Biology
- Publisher
- Elsevier BV
- Published
- 2002-09
- Volume
- 322
- Issue
- 2
- Pages
- 339-355
- ISSN
- 0022-2836 (ISSN-L)
- OpenAlex
- W1980285986
- Cited by
- 237
- References
- 70
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 9 · 2023: 14 · 2022: 8 · 2021: 10 · 2020: 10 · 2019: 16 · 2018: 11 · 2017: 8 · 2016: 13 · 2015: 10 · 2014: 10 · 2013: 9 · 2012: 15
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Molecular Biology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Northwestern University
- National Institutes of Health
- National Institute of General Medical Sciences (GM-21967, GM59957, R01GM059957, R01GM021967)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
- Keywords
- molecular docking, scoring functions, T4 lysozyme, atomic charges, desolvation energy, solvation energy, ligand binding affinity, partial atomic charges, ligand ranking
- MeSH terms
- Algorithms, Binding Sites, Calorimetry, Ligands, Models, Molecular, Muramidase, Mutation, Protein Binding, Protein Conformation, Software, Databases, Factual, Bacteriophage T4, Crystallography, X-Ray, Amino Acid Substitution, Hydrophobic and Hydrophilic Interactions
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