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On achieving high accuracy and reliability in the calculation of relative protein–ligand binding affinities
Open accessAbstract
We apply a free energy perturbation simulation method, free energy perturbation/replica exchange with solute tempering, to two modifications of protein–ligand complexes that lead to significant conformational changes, the first in the protein and the second in the ligand. The approach is shown to facilitate sampling in these challenging cases where high free energy barriers separate the initial and final conformations and leads to superior convergence of the free energy as demonstrated both by consistency of the results (independence from the starting conformation) and agreement with experimental binding affinity data. The second case, consisting of two neutral thrombin ligands that are taken from a recent medicinal chemistry program for this interesting pharmaceutical target, is of particular significance in that it demonstrates that good results can be obtained for large, complex ligands, as opposed to relatively simple model systems. To achieve quantitative agreement with experiment in the thrombin case, a next generation force field, Optimized Potentials for Liquid Simulations 2.0, is required, which provides superior charges and torsional parameters as compared to earlier alternatives.
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Cited by
Wang, L., Wu, Y., Deng, Y., Kim, B., Pierce, L., Krilov, G., Lupyan, D., Robinson, S., Dahlgren, M. K., Greenwood, J., et al. (2015) · Journal of the American Chemical Society · doi:10.1021/ja512751q · Cited by 1,313
Self-citationUsing AMBER18 for Relative Free Energy Calculations
Song, L. F., Lee, T.-S., Zhu, C., York, D. M., & Merz, K. M. (2019) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.9b00105 · Cited by 234
Predictions of Ligand Selectivity from Absolute Binding Free Energy Calculations
Aldeghi, M., Heifetz, A., Bodkin, M. J., Knapp, S., & Biggin, P. C. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.6b11467 · Cited by 177
Clark, A. J., Gindin, T., Zhang, B., Wang, L., Abel, R., Murret, C. S., Xu, F., Bao, A., Lu, N. J., Zhou, T., et al. (2017) · Journal of Molecular Biology · doi:10.1016/j.jmb.2016.11.021 · Cited by 96
Self-citationImproving the Accuracy of Protein Thermostability Predictions for Single Point Mutations
Duan, J., Lupyan, D., & Wang, L. (2020) · Biophysical Journal · doi:10.1016/j.bpj.2020.05.020 · Cited by 63
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Metadata
- Authors
- Wang, L., Berne, B. J., & Friesner, R. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2012-01-23
- Volume
- 109
- Issue
- 6
- Pages
- 1937-1942
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2093327248
- Cited by
- 225
- References
- 0
- FWCI
- 14.93
- Type
- journal article
- Language
- en
- Open access
- green
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