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OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins
Abstract
The parametrization and validation of the OPLS3 force field for small molecules and proteins are reported. Enhancements with respect to the previous version (OPLS2.1) include the addition of off-atom charge sites to represent halogen bonding and aryl nitrogen lone pairs as well as a complete refit of peptide dihedral parameters to better model the native structure of proteins. To adequately cover medicinal chemical space, OPLS3 employs over an order of magnitude more reference data and associated parameter types relative to other commonly used small molecule force fields (e.g., MMFF and OPLS_2005). As a consequence, OPLS3 achieves a high level of accuracy across performance benchmarks that assess small molecule conformational propensities and solvation. The newly fitted peptide dihedrals lead to significant improvements in the representation of secondary structure elements in simulated peptides and native structure stability over a number of proteins. Together, the improvements made to both the small molecule and protein force field lead to a high level of accuracy in predicting protein-ligand binding measured over a wide range of targets and ligands (less than 1 kcal/mol RMS error) representing a 30% improvement over earlier variants of the OPLS force field.
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Cites
How fast-folding proteins fold
Lindorff-Larsen, K., Piana, S., Dror, R. O., & Shaw, D. E. (2011) · Science · doi:10.1126/science.1208351 · Cited by 1,980
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-citationPredicting Absolute Ligand Binding Free Energies to a Simple Model Site
Mobley, D. L., Graves, A. P., Chodera, J. D., McReynolds, A. C., Shoichet, B. K., & Dill, K. A. (2007) · Journal of Molecular Biology · doi:10.1016/j.jmb.2007.06.002 · Cited by 310
Research works printed but not linked: 72
- 10.1021/jp003919d · DOI · Paper page
- 10.1021/acs.jctc.5b00356 · DOI · Paper page
- 10.1021/ja9621760 · DOI · Paper page
- 10.1021/ja00214a001 · DOI · Paper page
- 10.1021/ja00124a002 · DOI · Paper page
- 10.1002/prot.21123 · DOI · Paper page
- 10.1002/prot.22711 · DOI · Paper page
- 10.1021/jp311851r · DOI
- 10.1002/anie.201001898 · DOI · Paper page
- 10.1021/acs.jctc.5b00255 · DOI · Paper page
- 10.1021/jp973084f · DOI · Paper page
- 10.1021/ct300400x · DOI · Paper page
- 10.1002/jcc.1078 · DOI · Paper page
- 10.1002/jcc.20090 · DOI · Paper page
- 10.1021/ja0273851 · DOI · Paper page
- 10.1021/ja202726y · DOI · Paper page
- 10.1073/pnas.96.16.9062 · DOI · Paper page
- 10.1016/S0022-2836(02)00997-X · DOI · Paper page
- 10.1063/1.1999637 · DOI · Paper page
- 10.1371/journal.pone.0032131 · DOI · Paper page
- 10.1021/ct2007814 · DOI · Paper page
- 10.1021/ct4003702 · DOI · Paper page
- 10.1021/ct400781b · DOI · Paper page
- 10.1002/jcc.10125 · DOI · Paper page
- 10.1021/ct600180x · doi:10.1021/ct600180x
- 10.1021/ct300203w · DOI · Paper page
- 10.1002/(SICI)1096-987X(20000130)21:2<132::AID-JCC5>3.3.CO;2-G · doi:10.1002/(sici)1096-987x(20000130)21:2<132::aid-jcc5>3.3.co;2-g
- 10.1007/BF00117280 · DOI · Paper page
- 10.1021/ct300180w · DOI · Paper page
- 10.1021/j100308a038 · DOI · Paper page
- 10.1021/ct400315q · DOI
- 10.1021/ct300024z · DOI
- 10.1021/ct500718s · DOI
- 10.1007/s10822-014-9747-x · DOI · Paper page
- 10.1021/acs.jpcb.5b06703 · DOI
- 10.1021/ci4001597 · DOI
- 10.1021/ct300175w · doi:10.1021/ct300175w
- 10.1002/qua.24481 · DOI · Paper page
- 10.1063/1.469769 · DOI · Paper page
- 10.1002/(SICI)1096-987X(199712)18:16<1955::AID-JCC1>3.3.CO;2-A · doi:10.1002/(sici)1096-987x(199712)18:16<1955::aid-jcc1>3.3.co;2-a
- 10.1016/S0166-1280(97)00237-6 · doi:10.1016/s0166-1280(97)00237-6
- 10.1021/ja984106u · DOI · Paper page
- 10.1021/ct600252r · DOI · Paper page
- 10.1021/ct900587b · DOI · Paper page
- 10.1002/jcc.20065 · DOI · Paper page
- 10.1021/ja00097a039 · DOI
- 10.1002/pro.5560040708 · DOI · Paper page
- 10.1002/bip.21004 · DOI
- 10.1021/ja8030533 · DOI · Paper page
- 10.1016/j.bpj.2011.03.051 · DOI · Paper page
- 10.1016/j.bmcl.2012.02.013 · DOI
- 10.1021/jm0311442 · DOI
- 10.1021/jm060199b · DOI · Paper page
- 10.1021/jm301448p · DOI · Paper page
- 10.1021/jm101423y · DOI
- 10.1021/jm0702478 · DOI · Paper page
- 10.1016/j.jmb.2009.04.051 · DOI
- 10.1016/j.ejmech.2013.03.070 · DOI
- 10.1021/jm400266t · DOI
- 10.1039/c004189k · DOI · Paper page
- 10.1021/ct2008389 · DOI
- 10.1002/jcc.21836 · DOI · Paper page
- 10.1007/s10822-011-9528-8 · DOI
- 10.1016/j.bmcl.2005.09.064 · DOI
- 10.1016/j.bmcl.2006.08.053 · doi:10.1016/j.bmcl.2006.08.053
- 10.1021/jm300025r · DOI
- 10.1016/j.bmcl.2010.10.105 · doi:10.1016/j.bmcl.2010.10.105
- 10.1021/jm061247v · DOI
- 10.1021/ml200249h · DOI
- 10.1021/jm060870c · doi:10.1021/jm060870c
- 10.1021/ct300911a · DOI · Paper page
- 10.1016/j.drudis.2009.01.012 · DOI
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Salo-Ahen, O. M. H., Alanko, I., Bhadane, R., Bonvin, A. M. J. J., Honorato, R. V., Hossain, S., Juffer, A. H., Kabedev, A., Lahtela-Kakkonen, M., Larsen, A. S., et al. (2020) · Processes · doi:10.3390/pr9010071 · Cited by 659
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Schindler, C. E. M., Baumann, H., Blum, A., Böse, D., Buchstaller, H.-P., Burgdorf, L., Cappel, D., Chekler, E., Czodrowski, P., Dorsch, D., et al. (2020) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.0c00900 · Cited by 303
Metadata
- Authors
- Harder, E., Damm, W., Maple, J., Wu, C., Reboul, M., Xiang, J. Y., Wang, L., Lupyan, D., Dahlgren, M. K., Knight, J. L., Kaus, J. W., Cerutti, D. S., Krilov, G., Jorgensen, W. L., Abel, R., & Friesner, R. A.
- Venue
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-12-01
- Volume
- 12
- Issue
- 1
- Pages
- 281-296
- ISSN
- 1549-9618 (ISSN-L)
- 1549-9626
- OpenAlex
- W2222589778
- Cited by
- 3,047
- References
- 3
- FWCI
- 147.07
- Type
- journal article
- Language
- en
- Open access
- closed
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- Harder, E., Damm, W., Maple, J., Wu, C., Reboul, M., Xiang, J. Y., Wang, L., Lupyan, D., Dahlgren, M. K., Knight, J. L., Kaus, J. W., Cerutti, D. S., Krilov, G., Jorgensen, W. L., Abel, R., & Friesner, R. A. (2016). OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins. Journal of Chemical Theory and Computation. https://doi.org/10.1021/acs.jctc.5b00864
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