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All-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of Proteins
Abstract
New protein parameters are reported for the all-atom empirical energy function in the CHARMM program. The parameter evaluation was based on a self-consistent approach designed to achieve a balance between the internal (bonding) and interaction (nonbonding) terms of the force field and among the solvent-solvent, solvent-solute, and solute-solute interactions. Optimization of the internal parameters used experimental gas-phase geometries, vibrational spectra, and torsional energy surfaces supplemented with ab initio results. The peptide backbone bonding parameters were optimized with respect to data for N-methylacetamide and the alanine dipeptide. The interaction parameters, particularly the atomic charges, were determined by fitting ab initio interaction energies and geometries of complexes between water and model compounds that represented the backbone and the various side chains. In addition, dipole moments, experimental heats and free energies of vaporization, solvation and sublimation, molecular volumes, and crystal pressures and structures were used in the optimization. The resulting protein parameters were tested by applying them to noncyclic tripeptide crystals, cyclic peptide crystals, and the proteins crambin, bovine pancreatic trypsin inhibitor, and carbonmonoxy myoglobin in vacuo and in crystals. A detailed analysis of the relationship between the alanine dipeptide potential energy surface and calculated protein φ, χ angles was made and used in optimizing the peptide group torsional parameters. The results demonstrate that use of ab initio structural and energetic data by themselves are not sufficient to obtain an adequate backbone representation for peptides and proteins in solution and in crystals. Extensive comparisons between molecular dynamics simulations and experimental data for polypeptides and proteins were performed for both structural and dynamic properties. Energy minimization and dynamics simulations for crystals demonstrate that the latter are needed to obtain meaningful comparisons with experimental crystal structures. The presented parameters, in combination with the previously published CHARMM all-atom parameters for nucleic acids and lipids, provide a consistent set for condensed-phase simulations of a wide variety of molecules of biological interest.
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Cites
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Research works printed but not linked: 114
- Brooks, C. L. , III; Karplus, M. ; Pettitt, B. M. Proteins, A Theoretical Perspective Dynamics, Structure, and Thermodynamics ; John Wiley and Sons: New York, 1988; Vol. LXXI.
- McCammon, J. A. ; Harvey, S. Dynamics of Proteins and Nucleic Acids ; Cambridge University Press: 1987. · DOI · Paper page
- 10.1002/jcc.540040211 · DOI · Paper page
- Reiher, W. E. , III. Ph.D. Thesis, Harvard University, 1985.
- 10.1021/ja00333a021 · DOI
- 10.1002/jcc.540070216 · DOI · Paper page
- 10.1021/ja00214a001 · DOI
- (a)Feng, M.H. ; Philippopoulos, M. ; MacKerell, A. D., Jr. ; Lim, C. J. Am. Chem. Soc. 1996 , 118 , 11265. (b)Schmidt, J. M. ; Brüschweiler, R. Ernst, R. R. ; Dunbrack, R. L., Jr. ; Joseph, D. ; Karplus, M. J. Am. Chem. Soc . 1993 , 115 , 8747−8756. · DOI
- 10.1002/jcc.540120208 · DOI
- 10.1021/j100389a010 · DOI
- 10.1021/ja00153a017 · DOI · Paper page
- Schlenkrich, M. ; Brickmann, J. ; MacKerell, A. D., Jr. ; Karplus, M. Biological Membranes: A Molecular Perspective from Computation and Experiment ; Birkäuser: Boston, MA, 1996; p 31. · DOI
- 10.1063/1.472061 · DOI
- (a)Jorgensen, W. L. J. Am. Chem. Soc. 1990 , 112 , 4768. (b) Burley, S. K.Petsko, G. A. Adv. Protein Chem. 1988 , 39 , 125.
- The CHARMM program can be obtained by not-for-profit institutions under a license agreement by writing to the CHARMM Development Program, Department of Chemistry & Chemical Biology, Harvard University, Cambridge, MA 02138 (email: marci@tammy.harvard.edu).
- 10.1021/ja00291a014 · DOI
- 10.1063/1.445869 · DOI · Paper page
- Smith, J. C. ; Karplus, M. J. Am. Chem. Soc. 1992 , 114 , 801. · DOI
- 10.1107/S0567740879009249 · DOI
- 10.1021/j100065a023 · DOI
- 10.1038/nsb0594-334 · DOI · Paper page
- 10.1002/jcc.540110514 · DOI
- Berendsen, H. J. C. ; Grigera, J. R. ; Straatsma, J. Phys. Chem. 1987 , 91 , 6269. · DOI · Paper page
- 10.1016/0022-2852(74)90261-6 · DOI
- 10.1021/ja00008a002 · DOI · Paper page
- Halgren, T. A. J. Comput. Chem. 1996 , 17 , 520. · DOI
- 10.1021/j100179a013 · DOI
- 10.1126/science.1411573 · DOI
- Moet-Ner, M. J. Am. Chem. Soc. 1988 , 110 , 3858. · DOI
- Moet-Ner, M. J. Am. Chem. Soc. 1988 , 110 , 3071. · DOI
- Moet-Ner, M. J. Am. Chem. Soc. 1988 , 110 , 3075. · DOI
- Moet-Ner, M. J. Am. Chem. Soc. 1988 , 110 , 3854. · DOI
- Gao, J. Ph.D. Thesis, Department of Chemistry, Purdue University, 1987.
- Jorgensen, W. L. J. Phys. Chem. 1986 , 90 , 1276. · DOI
- Stote R. H., 1991, J. Chim. Phys., 88, 2419, 10.1051/jcp/1991882419 · DOI
- 10.1016/0021-9991(77)90098-5 · DOI · Paper page
- Brünger, A. T. ; Karplus, M. Proteins 1988 , 4 , 148. · DOI
- Field, M. J. ; Karplus, M. Harvard University, Cambridge, MA. Unpublished results,1992.
- Berendsen, H. J. C. ; Postma, J. P. M. ; van Gunsteren, W. F. ; DiNola, A. Haak, J. R. J. Chem. Phys. 1984 , 81 , 3684. · DOI · Paper page
- 10.1038/290107a0 · DOI · Paper page
- Wlodawer, A. ; Walter, J. ; Huber, R. ; Sjölin, L. J. Mol. Biol. 1984 , 180 , 301. · DOI · Paper page
- Kuriyan, J. ; Wilz, S. ; Karplus, M. ; Petsko, G. J. Mol. Biol. 1986 , 192 , 227. · DOI
- 10.1073/pnas.88.7.2773 · DOI
- 10.1016/0079-6107(84)90007-5 · DOI
- Burling, F. T. ; Weis, W. I. ; Flaherty, K. M. ; Brünger, A. T. Science 1996 , 271 , 72. · DOI
- 10.1002/bip.360310405 · DOI
- 10.1002/bip.360310207 · DOI
- 10.1021/ja00484a048 · DOI
- 10.1021/ja00715a037 · DOI
- Kostansek, E. C. ; Thiessen, W. E. ; Schomburg, D. ; Lipscomb, W. N. J. Am. Chem. Soc. 1979 , 101 , 5811. · DOI
- Karle, I. L. J. Am. Chem. Soc. 1978 , 100 , 1286. · DOI
- 10.1021/ja00221a012 · DOI
- Grant, J. A. ; Williams, R. L. ; Scheraga, H. A. Biopolymers 1990 , 30 , 929. · DOI
- 10.1080/07391102.1991.10507872 · DOI
- Guo, H. ; Karplus, M. J. Phys. Chem. 1992 , 96 , 7273. · DOI
- Guo, H. ; Karplus, M. J. Phys. Chem. 1994 , 98 , 7104. · DOI
- Katz, J. ; Post, B. Acta Crystallogr. 1960 , 13 , 624. · DOI
- Hamzaoui, F. ; Baert, F. Acta Crystallogr. 1994 , C50 , 757−579. · DOI
- Benedetti, E. In Peptides: Proceedings of the 5th American Peptide Symposium ; John Wiley & Sons Inc. New York, 1979; p 257.
- Kitano, M. ; Fukuyama, T. ; Kuchitsu, B. Bull. Chem. Soc. Jpn. 1973 , 46 , 384. · DOI
- Jorgensen, W. L. ; Gao, J. J. Am. Chem. Soc. 1988 , 110 , 4212. · DOI
- 10.1021/ja00114a028 · DOI
- 10.1021/ja00105a036 · DOI
- Gould, I. R. ; Cornell, W. D. ; Hiller, I. H. J. Am. Chem. Soc. 1994 , 116 , 9250. · DOI
- (a)Jones, R. J. Mol. Spectrosc. 1963 , 11 , 411. (b)Fillaux, F. ; DeLoze, C. J. J. Chim. Phys. 1976 , 73 , 1004. · DOI
- 10.1002/bip.360260514 · DOI
- Sugawara, Y. ; Hirakawa, A. ; Tsuboi, M. ; Kato, S. ; Morokuma, K. J. Mol. Spectrosc. 1986 , 115 , 21. · DOI
- (a)Mirkin, N. ; Krimm, S. J. Mol. Struct. 1991 , 242 , 143. (b) Chen, X. G.Schweitzer-Stenner, R. ; Asher, S. A. ; Mirkin, N. G. ; Krimm, S. J. Phys. Chem. 1995 , 99 , 3074. · DOI
- Miazawa, T. ; Shimanouchi, T. ; Mizushima, S. J. Chem. Phys. 1958 , 29 , 611. · DOI
- Itoh, K. ; Shimanouchi, T. Biopolymers 1967 , 5 , 921. · DOI
- 10.1039/c29710001404 · DOI
- Cornell, W. D. ; Cieplak, P. ; Bayly, C. I. ; Gould, I. R. ; Merz, K. M., Jr. Ferguson, D. M. ; Spellmeyer, D. C. ; Fox, T. ; Caldwell, J. W. Kollman, P. A. J. Am. Chem. Soc. 1995 , 117 , 5179. · DOI · Paper page
- Vásquez, M. ; Némethy, G. ; Scheraga, H. A. Macromolecules 1983 , 16 , 1043. · DOI
- 10.1021/ja00019a007 · DOI
- 10.1021/ja00039a057 · DOI
- Head-Gordon, T. ; Head-Gordon, M. ; Frisch, M. J. ; Brooks, C. , III; Pople, J. Int. J. Quantum Chem. Quantum Biol. Symp. 1989 , 16 , 311.
- Head-Gordon, T. ; Head-Gordon, M. ; Frisch, M. J. ; Brooks, C. L. I. Pople, J. A. J. Am. Chem. Soc. 1991 , 113 , 5989. · DOI
- Beachy, M. D. ; Chasman, D. ; Murphy, R. B. ; Halgren, T. A. ; Friesner, R. A. J. Am. Chem. Soc. 1997 , 119 , 5908. · DOI
- 10.1021/ja00315a051 · DOI · Paper page
- Deng, Z. ; Polavarapu, P. L. ; Ford, S. J. ; Hecht, L. ; Barron, L. D. Ewig, C. S. ; Jalkanen, K. J. Phys. Chem. 1996 , 100 , 2025. · DOI
- Brooks, C. L. , III; Case, D. A. Chem. Rev. 1993 , 93 , 2487. · DOI
- 10.1002/jcc.540160702 · DOI
- Gelin, B. ; Karplus, M. J. Am. Chem. Soc. 1975 , 97 , 6996. · DOI
- Kang, Y. K. ; No, K. T. ; Scheraga, H. A. J. Phys. Chem. 1996 , 100 , 15588. · DOI
- 10.1002/jcc.540160807 · DOI
- Halgren, T. A. J. Comput. Chem. 1996 , 17 , 490. · DOI
- 10.1016/0166-1280(94)80096-0 · DOI
- 10.1080/00268978000101781 · DOI
- Riddick. J. A.Bunger, W. B. ; Sakano, T. K. Organic Solvents: Physical Properties and Methods of Purification ; John Wiley & Sons: New York, 1986.
- 10.1007/BFb0050146 · DOI
- 10.1021/ja00292a007 · DOI
- 10.1021/jp9624257 · DOI
- 10.1021/ja9621760 · DOI · Paper page
- Harada, Y. ; Iitaka, Y. Acta Crystallogr. 1974 , B30 , 1452. · DOI
- 10.1006/jmbi.1996.0705 · DOI
- Stone, A. J. ; Price, S. L. J. Phys. Chem. 1988 , 92 , 2: 3325. · DOI
- Hall, D. ; Pavitt, N. J. Comput. Chem. 1984 , 5 , 441. · DOI
- 10.1038/267585a0 · DOI · Paper page
- Karplus, M. ; Petsko, G. A. Nature 1990 , 347 , 631. · DOI · Paper page
- 10.1073/pnas.80.14.4315 · DOI
- 10.1021/bi00539a001 · DOI
- 10.1016/0022-2836(88)90389-0 · DOI
- 10.1016/S0022-2836(05)80363-8 · DOI
- Levy, R. M. ; Sheridan, R. P. ; Keepers, J. W. ; Dubey, G. S. Swaminathan, S. ; Karplus, M. Biophys. J. 1985 , 48 , 509. · DOI
- 10.1002/prot.340070407 · DOI
- 10.1006/jmbi.1993.1143 · DOI
- 10.1016/0022-2836(86)90295-0 · DOI
- Elber, R. ; Karplus, M. Science 1987 , 235 , 318. · DOI · Paper page
- Phillips, G. N., Jr. Biophys. J. 1990 , 57 , 381. · DOI
- 10.1021/ja00283a005 · DOI
- Boczko, E. M. ; Brooks, C. L. , III. Science 1995 , 269 , 393. · DOI
- Lazaridis, T. ; Karplus, M. Science 1997 , 278 , 1928. · DOI
- 10.1073/pnas.91.24.11631 · DOI
- 10.1002/(SICI)1096-987X(19970130)18:2%3C221::AID-JCC7%3E3.0.CO;2-X · DOI
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“Hydrogen atoms were added to the 1BE9 rat crystal structure using the HBUILD facility [46] and the PARAM22 parameter set [47] of CHARMM [48].”
MethodA Small-Molecule Inhibitor of BCL6 Kills DLBCL Cells In Vitro and In Vivo
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Self-citationSome gating potentiators, including VX-770, diminish ΔF508-CFTR functional expression
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Jiang, T., Hall, A., Eres, M., Hemmatian, Z., Qiao, B., Zhou, Y., Ruan, Z., Couse, A. D., Heller, W. T., Huang, H., et al. (2020) · Nature · doi:10.1038/s41586-019-1881-0 · Cited by 122
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Li, M., Simonetti, F. L., Goncearenco, A., & Panchenko, A. R. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw374 · Cited by 118
Modelling biological complexity: a physical scientist's perspective
Coveney, P. V., & Fowler, P. W. (2005) · Journal of The Royal Society Interface · doi:10.1098/rsif.2005.0045 · Cited by 117
The Free Energy Landscape of Small Molecule Unbinding
Huang, D., & Caflisch, A. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002002 · Cited by 116
“The MD simulations were carried out with NAMD [31] using the CHARMM22 force field [32] and the TIP3P model of water [33].”
MethodToward Theoretical Analyis of Long-Range Proton Transfer Kinetics in Biomolecular Pumps
König, P. H., Ghosh, N., Hoffmann, M., Elstner, M., Tajkhorshid, E., Frauenheim, T., & Cui, Q. (2006) · The Journal of Physical Chemistry A · doi:10.1021/jp052328q · Cited by 114
Predicting the Impact of Missense Mutations on Protein–Protein Binding Affinity
Li, M., Petukh, M., Alexov, E., & Panchenko, A. R. (2014) · Journal of Chemical Theory and Computation · doi:10.1021/ct401022c · Cited by 111
Dashnyam, P., Mudududdla, R., Hsieh, T.-J., Lin, T.-C., Lin, H.-Y., Chen, P.-Y., Hsu, C.-Y., & Lin, C.-H. (2018) · Scientific Reports · doi:10.1038/s41598-018-34678-z · Cited by 108
Predicting the accuracy of protein–ligand docking on homology models
Bordogna, A., Pandini, A., & Bonati, L. (2011) · Journal of Computational Chemistry · doi:10.1002/jcc.21601 · Cited by 107
BH3‐in‐groove dimerization initiates and helix 9 dimerization expands Bax pore assembly in membranes
Zhang, Z., Subramaniam, S., Kale, J., Liao, C., Huang, B., Brahmbhatt, H., Condon, S. G., Lapolla, S. M., Hays, F. A., Ding, J., et al. (2016) · The EMBO Journal · doi:10.15252/embj.201591552 · Cited by 93
Exploration, Sampling, And Reconstruction of Free Energy Surfaces with Gaussian Process Regression
Mones, L., Bernstein, N., & Csányi, G. (2016) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.6b00553 · Cited by 91
Biomolecular simulation and modelling: status, progress and prospects
van der Kamp, M. W., Shaw, K. E., Woods, C. J., & Mulholland, A. J. (2008) · Journal of The Royal Society Interface · doi:10.1098/rsif.2008.0105.focus · Cited by 90
Holdgaard, S. G., Cianfanelli, V., Pupo, E., Lambrughi, M., Lubas, M., Nielsen, J. C., Eibes, S., Maiani, E., Harder, L. M., Wesch, N., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12094-9 · Cited by 84
Fiesel, F. C., Caulfield, T. R., Moussaud-Lamodière, E. L., Ogaki, K., Dourado, D. F. A. R., Flores, S. C., Ross, O. A., & Springer, W. (2015) · Human Mutation · doi:10.1002/humu.22808 · Cited by 89
Structure and Response to Flow of the Glycocalyx Layer
Cruz-Chu, E. R., Malafeev, A., Pajarskas, T., Pivkin, I. V., & Koumoutsakos, P. (2014) · Biophysical Journal · doi:10.1016/j.bpj.2013.09.060 · Cited by 87
Cao, X., Yap, J. L., Newell-Rogers, M. K., Peddaboina, C., Jiang, W., Papaconstantinou, H. T., Jupitor, D., Rai, A., Jung, K.-Y., Tubin, R. P., et al. (2013) · Molecular Cancer · doi:10.1186/1476-4598-12-42 · Cited by 87
Self-citationPolymeric human Fc-fusion proteins with modified effector functions
Mekhaiel, D. N. A., Czajkowsky, D. M., Andersen, J. T., Shi, J., El-Faham, M., Doenhoff, M., McIntosh, R. S., Sandlie, I., He, J., Hu, J., et al. (2011) · Scientific Reports · doi:10.1038/srep00124 · Cited by 85
C-mannosylation supports folding and enhances stability of thrombospondin repeats
Shcherbakova, A., Preller, M., Taft, M. H., Pujols, J., Ventura, S., Tiemann, B., Buettner, F. F., & Bakker, H. (2019) · eLife · doi:10.7554/elife.52978 · Cited by 85
Zhou, W., Marinelli, F., Nief, C., & Faraldo-Gómez, J. D. (2017) · eLife · doi:10.7554/elife.23781 · Cited by 75
Cryptic pocket formation underlies allosteric modulator selectivity at muscarinic GPCRs
Hollingsworth, S. A., Kelly, B., Valant, C., Michaelis, J. A., Mastromihalis, O., Thompson, G., Venkatakrishnan, A. J., Hertig, S., Scammells, P. J., Sexton, P. M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11062-7 · Cited by 73
Mechanisms of protein–ligand association and its modulation by protein mutations
Held, M., Metzner, P., Prinz, J.-H., & Noé, F. (2011) · Biophysical Journal · doi:10.1016/j.bpj.2010.12.3699 · Cited by 77
Jämbeck, J. P. M., & Lyubartsev, A. P. (2014) · The Journal of Physical Chemistry B · doi:10.1021/jp4111234 · Cited by 73
Hamm, L. M., Wallace, A. F., & Dove, P. M. (2010) · The Journal of Physical Chemistry B · doi:10.1021/jp9108893 · Cited by 61
Enhanced functional activity of the cannabinoid type-1 receptor mediates adolescent behavior
Schneider, M., Kasanetz, F., Lynch, D. L., Friemel, C. M., Lassalle, O., Hurst, D. P., Steindel, F., Monory, K., Schäfer, C., Miederer, I., et al. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1937-15.2015 · Cited by 56
A kinetic ensemble of the Alzheimer’s Aβ peptide
Löhr, T., Kohlhoff, K., Heller, G. T., Camilloni, C., & Vendruscolo, M. (2021) · Nature Computational Science · doi:10.1038/s43588-020-00003-w · Cited by 57
Free Energy Surface Reconstruction from Umbrella Samples Using Gaussian Process Regression
Stecher, T., Bernstein, N., & Csányi, G. (2014) · Journal of Chemical Theory and Computation · doi:10.1021/ct500438v · Cited by 56
The Plasma Membrane as a Competitive Inhibitor and Positive Allosteric Modulator of KRas4B Signaling
Neale, C., & García, A. E. (2020) · Biophysical Journal · doi:10.1016/j.bpj.2019.12.039 · Cited by 56
Structural insights into the effects of 2’-5’ linkages on the RNA duplex
Sheng, J., Li, L., Engelhart, A. E., Gan, J., Wang, J., & Szostak, J. W. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317799111 · Cited by 50
Berko, E. R., Witek, G. M., Matkar, S., Petrova, Z. O., Wu, M. A., Smith, C. M., Daniels, A., Kalna, J., Kennedy, A., Gostuski, I., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38195-0 · Cited by 53
Differential dynamics of RAS isoforms in GDP- and GTP-bound states
Kapoor, A., & Travesset, A. (2015) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.24805 · Cited by 53
Kagawa, T. F., O'Connell, M. R., Mouat, P., Paoli, M., O'Toole, P. W., & Cooney, J. C. (2009) · Journal of Molecular Biology · doi:10.1016/j.jmb.2008.12.074 · Cited by 50
Gebregiworgis, T., Kano, Y., St-Germain, J., Radulovich, N., Udaskin, M. L., Mentes, A., Huang, R., Poon, B. P. K., He, W., Valencia-Sama, I., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26526-y · Cited by 49
“RAS/RAF binding was assessed using the RAS activation assay kit from Millipore (17-218).”
MethodTrastuzumab Deruxtecan Resistance via Loss of HER2 Expression and Binding
Chen, W., Gupta, A., Mai, N., Nag, S., Lau, J. S., Singh, S., Chodera, J. D., Liu, B., de Stanchina, E., Pareja, F., et al. (2026) · Cancer Discovery · doi:10.1158/2159-8290.cd-25-0647 · Cited by 50
Free energy perturbation calculations of the thermodynamics of protein side-chain mutations
Steinbrecher, T., Abel, R., Clark, A., & Friesner, R. (2017) · Journal of Molecular Biology · doi:10.1016/j.jmb.2017.03.002 · Cited by 46
Hierarchical Folding Free Energy Landscape of HP35 Revealed by Most Probable Path Clustering
Jain, A., & Stock, G. (2014) · The Journal of Physical Chemistry B · doi:10.1021/jp410398a · Cited by 48
Critical Importance of Length-Scale Dependence in Implicit Modeling of Hydrophobic Interactions
Chen, J., & Brooks, C. L. (2007) · Journal of the American Chemical Society · doi:10.1021/ja068383+ · Cited by 47
On-the-fly QM/MM docking with attracting cavities.
Chaskar, P., Zoete, V., & Röhrig, U. F. (2017) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.6b00406 · Cited by 46
Musella, S., Carotenuto, L., Iraci, N., Baroli, G., Ciaglia, T., Nappi, P., Basilicata, M. G., Salviati, E., Barrese, V., Vestuto, V., et al. (2022) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.2c00911 · Cited by 45
Structural and thermodynamic framework for PIEZO1 modulation by small molecules
Jiang, W., Wijerathne, T. D., Zhang, H., Lin, Y.-C., Jo, S., Im, W., Lacroix, J. J., & Luo, Y. L. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2310933120 · Cited by 44
Mas-y-Mas, S., Barbon, M., Teyssier, C., Déméné, H., Carvalho, J. E., Bird, L. E., Lebedev, A., Fattori, J., Schubert, M., Dumas, C., et al. (2016) · PLOS ONE · doi:10.1371/journal.pone.0165139 · Cited by 43
Lipids Regulate Lck Protein Activity through Their Interactions with the Lck Src Homology 2 Domain
Sheng, R., Jung, D.-J., Silkov, A., Kim, H., Singaram, I., Wang, Z.-G., Xin, Y., Kim, E., Park, M.-J., Thiagarajan-Rosenkranz, P., et al. (2016) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.720284 · Cited by 43
Henry, N., Krammer, E.-M., Stengel, F., Adams, Q., Van Liefferinge, F., Hubin, E., Chaves, R., Efremov, R., Aebersold, R., Vandenbussche, G., et al. (2018) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006165 · Cited by 42
Grove, L. E., & Brunold, T. C. (2008) · Comments on Inorganic Chemistry · doi:10.1080/02603590802429529 · Cited by 41
Mansbach, R. A., & Ferguson, A. L. (2015) · The Journal of Chemical Physics · doi:10.1063/1.4914144 · Cited by 39
Gómez, H., Rojas, R., Patel, D., Tabak, L. A., Lluch, J. M., & Masgrau, L. (2014) · Org. Biomol. Chem. · doi:10.1039/c3ob42569j · Cited by 41
Molecular basis of Wnt biogenesis, secretion, and Wnt7-specific signaling
Qi, X., Hu, Q., Elghobashi-Meinhardt, N., Long, T., Chen, H., & Li, X. (2023) · Cell · doi:10.1016/j.cell.2023.09.021 · Cited by 40
Computational amphiphilic materials for drug delivery
Thota, N., & Jiang, J. (2015) · Frontiers in Materials · doi:10.3389/fmats.2015.00064 · Cited by 38
A methylated lysine is a switch point for conformational communication in the chaperone Hsp90
Rehn, A., Lawatscheck, J., Jokisch, M.-L., Mader, S. L., Luo, Q., Tippel, F., Blank, B., Richter, K., Lang, K., Kaila, V. R. I., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15048-8 · Cited by 38
Martin, N. E., Malik, S., Calimet, N., Changeux, J.-P., & Cecchini, M. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005784 · Cited by 38
Structural stability of proteins in aqueous and nonpolar environments
Yasuda, S., Oshima, H., & Kinoshita, M. (2012) · The Journal of Chemical Physics · doi:10.1063/1.4755755 · Cited by 37
Gopal, S. M., Wingbermühle, S., Schnatwinkel, J., Juber, S., Herrmann, C., & Schäfer, L. V. (2021) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.0c08702 · Cited by 37
Kurkcuoglu, Z., & Bonvin, A. M. J. J. (2020) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.25802 · Cited by 37
Yang, Y., Sahai, N., Romanek, C. S., & Chakraborty, S. (2012) · Geochimica et Cosmochimica Acta · doi:10.1016/j.gca.2012.03.018 · Cited by 33
Metadata
- Authors
- MacKerell, A. D., Bashford, D., Bellott, M., Dunbrack, R. L., Evanseck, J. D., Field, M. J., Fischer, S., Gao, J., Guo, H., Ha, S., Joseph-McCarthy, D., Kuchnir, L., Kuczera, K., Lau, F. T. K., Mattos, C., Michnick, S., Ngo, T., Nguyen, D. T., Prodhom, B., Reiher, W. E., Roux, B., Schlenkrich, M., Smith, J. C., Stote, R., Straub, J., Watanabe, M., Wiórkiewicz-Kuczera, J., Yin, D., & Karplus, M.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 1998-04-01
- Volume
- 102
- Issue
- 18
- Pages
- 3586-3616
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W2027408247
- Cited by
- 14,311
- References
- 1
- FWCI
- 40.52
- Type
- journal article
- Language
- en
- Open access
- closed
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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.