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CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
Abstract
CHARMM (C hemistry at HAR vard M acromolecular M echanics) is a highly flexible computer program which uses empirical energy functions to model macromolecular systems. The program can read or model build structures, energy minimize them by first‐ or second‐derivative techniques, perform a normal mode or molecular dynamics simulation, and analyze the structural, equilibrium, and dynamic properties determined in these calculations. The operations that CHARMM can perform are described, and some implementation details are given. A set of parameters for the empirical energy function and a sample run are included.
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Cites
An algorithm for the machine calculation of complex Fourier series
Cooley, J. W., & Tukey, J. W. (1965) · Mathematics of Computation · doi:10.1090/s0025-5718-1965-0178586-1 · Cited by 13,154
Needleman, S. B., & Wunsch, C. D. (1970) · Journal of Molecular Biology · doi:10.1016/0022-2836(70)90057-4 · Cited by 11,288
A relational model of data for large shared data banks
Codd, E. F. (1970) · Communications of the ACM · doi:10.1145/362384.362685 · Cited by 5,547
Cited by
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
Abraham, M. J., Murtola, T., Schulz, R., Páll, S., Smith, J. C., Hess, B., & Lindahl, E. (2015) · SoftwareX · doi:10.1016/j.softx.2015.06.001 · Cited by 27,190
CHARMM‐GUI: A web‐based graphical user interface for CHARMM
Jo, S., Kim, T., Iyer, V. G., & Im, W. (2008) · Journal of Computational Chemistry · doi:10.1002/jcc.20945 · Cited by 9,284
Kühne, T. D., Iannuzzi, M., Del Ben, M., Rybkin, V. V., Seewald, P., Stein, F., Laino, T., Khaliullin, R. Z., Schütt, O., Schiffmann, F., et al. (2020) · The Journal of Chemical Physics · doi:10.1063/5.0007045 · Cited by 4,468
Molecular Docking: A Powerful Approach for Structure-Based Drug Discovery
Meng, X.-Y., Zhang, H.-X., Mezei, M., & Cui, M. (2011) · Current Computer Aided-Drug Design · doi:10.2174/157340911795677602 · Cited by 3,771
Comparative Protein Structure Modeling of Genes and Genomes
Martí-Renom, M. A., Stuart, A. C., Fiser, A., Sánchez, R., Melo, F., & Šali, A. (2000) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.biophys.29.1.291 · Cited by 3,169
The General Utility Lattice Program ( GULP )
Gale, J. D., & Rohl, A. L. (2003) · Molecular Simulation · doi:10.1080/0892702031000104887 · Cited by 2,265
Identification of RIP1 kinase as a specific cellular target of necrostatins
Degterev, A., Hitomi, J., Germscheid, M., Ch'en, I. L., Korkina, O., Teng, X., Abbott, D., Cuny, G. D., Yuan, C., Wagner, G., et al. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.83 · Cited by 2,059
The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design
Alford, R. F., Leaver-Fay, A., Jeliazkov, J. R., O’Meara, M. J., DiMaio, F. P., Park, H., Shapovalov, M. V., Renfrew, P. D., Mulligan, V. K., Kappel, K., et al. (2017) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.7b00125 · Cited by 1,532
A Switch Between Two-, Three-, and Four-stranded Coiled Coils in GCN4 Leucine Zipper Mutants
Harbury, P. B., Zhang, T., Kim, P. S., & Alber, T. (1993) · Science · doi:10.1126/science.8248779 · Cited by 1,490
ZDOCK: An initial‐stage protein‐docking algorithm
Chen, R., Li, L., & Weng, Z. (2003) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.10389 · Cited by 1,393
A new approach to protein fold recognition
Jones, D. T., Taylort, W. R., & Thornton, J. M. (1992) · Nature · doi:10.1038/358086a0 · Cited by 1,221
Massova, I., & Kollman, P. A. (2000) · Perspectives in Drug Discovery and Design · doi:10.1023/a:1008763014207 · Cited by 1,015
Zhou, H., & Zhou, Y. (2002) · Protein Science · doi:10.1110/ps.0217002 · Cited by 902
Constructing high‐dimensional neural network potentials: A tutorial review
Behler, J. (2015) · International Journal of Quantum Chemistry · doi:10.1002/qua.24890 · Cited by 884
Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations
Behler, J. (2011) · Physical Chemistry Chemical Physics · doi:10.1039/c1cp21668f · Cited by 781
Feng, S., Chen, J. K., Yu, H., Simon, J. A., & Schreiber, S. L. (1994) · Science · doi:10.1126/science.7526465 · Cited by 687
Calculation of absolute protein–ligand binding free energy from computer simulations
Woo, H.-J., & Roux, B. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0409005102 · Cited by 661
Absolute Binding Free Energies: A Quantitative Approach for Their Calculation
Boresch, S., Tettinger, F., Leitgeb, M., & Karplus, M. (2003) · The Journal of Physical Chemistry B · doi:10.1021/jp0217839 · Cited by 569
Self-citationStructural Survey of Zinc-Containing Proteins and Development of the Zinc AMBER Force Field (ZAFF)
Peters, M. B., Yang, Y., Wang, B., Füsti-Molnár, L., Weaver, M. N., & Merz, K. M. (2010) · Journal of Chemical Theory and Computation · doi:10.1021/ct1002626 · Cited by 501
Shea, J.-E., & Brooks III, C. L. (2001) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.52.1.499 · Cited by 481
Reaction coordinates of biomolecular isomerization
Bolhuis, P. G., Dellago, C., & Chandler, D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.100127697 · Cited by 426
Multiple diverse ligands binding at a single protein site: A matter of pre‐existing populations
Ma, B., Shatsky, M., Wolfson, H. J., & Nussinov, R. (2002) · Protein Science · doi:10.1110/ps.21302 · Cited by 420
Automatic Method for Identifying Reaction Coordinates in Complex Systems
Ma, A., & Dinner, A. R. (2005) · The Journal of Physical Chemistry B · doi:10.1021/jp045546c · Cited by 400
Overcoming mutation-based resistance to antiandrogens with rational drug design
Balbas, M. D., Evans, M. J., Hosfield, D. J., Wongvipat, J., Arora, V. K., Watson, P. A., Chen, Y., Greene, G. L., Shen, Y., & Sawyers, C. L. (2013) · eLife · doi:10.7554/elife.00499 · Cited by 397
Zinc binding in proteins and solution: A simple but accurate nonbonded representation
Stote, R. H., & Karplus, M. (1995) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.340230104 · Cited by 354
Self-citationThe binding sites for cocaine and dopamine in the dopamine transporter overlap
Beuming, T., Kniazeff, J., Bergmann, M. L., Shi, L., Gracia, L., Raniszewska, K., Newman, A. H., Javitch, J. A., Weinstein, H., Gether, U., et al. (2008) · Nature Neuroscience · doi:10.1038/nn.2146 · Cited by 354
Potapov, V., Cohen, M., & Schreiber, G. (2009) · Protein Engineering Design and Selection · doi:10.1093/protein/gzp030 · Cited by 349
Solution structure of the N-terminal zinc binding domain of HIV-1 integrase
Cai, M., Zheng, R., Caffrey, M., Craigie, R., Clore, G. M., & Gronenborn, A. M. (1997) · Nature Structural Biology · doi:10.1038/nsb0797-567 · Cited by 342
Binding MOAD (Mother Of All Databases)
Hu, L., Benson, M. L., Smith, R. D., Lerner, M. G., & Carlson, H. A. (2005) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.20512 · Cited by 328
Activation pathway of Src kinase reveals intermediate states as targets for drug design
Shukla, D., Meng, Y., Roux, B., & Pande, V. S. (2014) · Nature Communications · doi:10.1038/ncomms4397 · Cited by 333
Solution Structure of the DNA Binding Domain of HIV-1 Integrase
Lodi, P. J., Ernst, J. A., Kuszewski, J., Hickman, A. B., Engelman, A., Craigie, R., Clore, G. M., & Gronenborn, A. M. (1995) · Biochemistry · doi:10.1021/bi00031a002 · Cited by 300
Progress in Modeling of Protein Structures and Interactions.
Schueler-Furman, O., Wang, C., Bradley, P., Misura, K., & Baker, D. (2005) · Science · doi:10.1126/science.1112160 · Cited by 294
A Post-Synaptic Scaffold at the Origin of the Animal Kingdom
Sakarya, O., Armstrong, K. A., Adamska, M., Adamski, M., Wang, I.-F., Tidor, B., Degnan, B. M., Oakley, T. H., & Kosik, K. S. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000506 · Cited by 291
“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
Cerchietti, L. C., Ghetu, A. F., Zhu, X., Da Silva, G. F., Zhong, S., Matthews, M., Bunting, K. L., Polo, J. M., Farès, C., Arrowsmith, C. H., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.050 · Cited by 288
Muller, M. P., Jiang, T., Sun, C., Lihan, M., Pant, S., Mahinthichaichan, P., Trifan, A., & Tajkhorshid, E. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00608 · Cited by 282
Protein elastic network models and the ranges of cooperativity
Yang, L., Song, G., & Jernigan, R. L. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902159106 · Cited by 260
Persistent homology analysis of protein structure, flexibility, and folding
Xia, K., & Wei, G. (2014) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.2655 · Cited by 254
Molecular driving forces determining potassium channel slow inactivation
Cordero-Morales, J. F., Jogini, V., Lewis, A., Vásquez, V., Cortes, D. M., Roux, B., & Perozo, E. (2007) · Nature Structural & Molecular Biology · doi:10.1038/nsmb1309 · Cited by 236
Structural basis for hijacking of cellular LxxLL motifs by papillomavirus E6 oncoproteins
Zanier, K., Charbonnier, S., Sidi, A. O. M. O., McEwen, A. G., Ferrario, M. G., Poussin-Courmontagne, P., Cura, V., Brimer, N., Babah, K. O., Ansari, T., et al. (2013) · Science · doi:10.1126/science.1229934 · Cited by 222
Abrams, J. B., & Tuckerman, M. E. (2008) · The Journal of Physical Chemistry B · doi:10.1021/jp805039u · Cited by 221
A gate in the selectivity filter of potassium channels
Bernèche, S., & Roux, B. (2005) · Structure · doi:10.1016/j.str.2004.12.019 · Cited by 214
Lu, S.-H., Wu, J. W., Liu, H.-L., Zhao, J.-H., Liu, K.-T., Chuang, C.-K., Lin, H.-Y., Tsai, W.-B., & Ho, Y. (2011) · Journal of Biomedical Science · doi:10.1186/1423-0127-18-8 · Cited by 204
Prediction of aggregation prone regions of therapeutic proteins
Chennamsetty, N., Voynov, V., Kayser, V., Helk, B., & Trout, B. L. (2010) · The Journal of Physical Chemistry B · doi:10.1021/jp911706q · Cited by 200
Liu, S., Zhang, C., Zhou, H., & Zhou, Y. (2004) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.20019 · Cited by 193
Gremer, L., Merbitz-Zahradnik, T., Dvorsky, R., Cirstea, I. C., Kratz, C. P., Zenker, M., Wittinghofer, A., & Ahmadian, M. R. (2011) · Human Mutation · doi:10.1002/humu.21377 · Cited by 158
Relation between native ensembles and experimental structures of proteins
Best, R. B., Lindorff-Larsen, K., DePristo, M. A., & Vendruscolo, M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0511156103 · Cited by 152
Force Generation in Kinesin Hinges on Cover-Neck Bundle Formation
Hwang, W., Lang, M. J., & Karplus, M. (2008) · Structure · doi:10.1016/j.str.2007.11.008 · Cited by 161
Self-citationV. Skulachev, M., N. Antonenko, Y., N. Anisimov, V., V. Chernyak, B., A. Cherepanov, D., A. Chistyakov, V., V. Egorov, M., G. Kolosova, N., A. Korshunova, G., G. Lyamzaev, K., et al. (2011) · Current Drug Targets · doi:10.2174/138945011795528859 · Cited by 156
Historical contingency and its biophysical basis in glucocorticoid receptor evolution
Harms, M. J., & Thornton, J. W. (2014) · Nature · doi:10.1038/nature13410 · Cited by 147
Analysis of the migration behaviour of single microtubules in electric fields
Stracke, R., Böhm, K. J., Wollweber, L., Tuszynski, J. A., & Unger, E. (2002) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(02)00251-6 · Cited by 147
Computational studies of membrane channels
Roux, B., & Schulten, K. (2004) · Structure · doi:10.1016/j.str.2004.06.013 · Cited by 145
Conformation of the HIV-1 Gag Protein in Solution
Datta, S. A. K., Curtis, J. E., Ratcliff, W., Clark, P. K., Crist, R. M., Lebowitz, J., Krueger, S., & Rein, A. (2007) · Journal of Molecular Biology · doi:10.1016/j.jmb.2006.10.073 · Cited by 145
CHARMM at 45: Enhancements in Accessibility, Functionality, and Speed
Hwang, W., Austin, S. L., Blondel, A., Boittier, E. D., Boresch, S., Buck, M., Buckner, J., Caflisch, A., Chang, H.-T., Cheng, X., et al. (2024) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.4c04100 · Cited by 136
Self-citationAlmagro, J. C., Beavers, M. P., Hernandez‐Guzman, F., Maier, J., Shaulsky, J., Butenhof, K., Labute, P., Thorsteinson, N., Kelly, K., Teplyakov, A., et al. (2011) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.23130 · Cited by 131
Tuszyński, J. A., Brown, J. A., Crawford, E., Carpenter, E. J., Nip, M. L. A., Dixon, J. M., & Satarić, M. V. (2005) · Mathematical and Computer Modelling · doi:10.1016/j.mcm.2005.05.002 · Cited by 124
Martinize2 and Vermouth provide a unified framework for molecular topology generation
Kroon, P. C., Grünewald, F., Barnoud, J., van Tilburg, M., Brasnett, C., Souza, P. C., Wassenaar, T. A., & Marrink, S. J. (2025) · eLife · doi:10.7554/elife.90627 · Cited by 124
Kim, J.-K., & Choi, B.-S. (1995) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1995.tb20331.x · Cited by 121
Distinct recognition modes of FXXLF and LXXLL motifs by the androgen receptor
Dubbink, H. J., Hersmus, R., Verma, C. S., van der Korput, H. A. G. M., Berrevoets, C. A., van Tol, J., Ziel-van der Made, A. C. J., Brinkmann, A. O., Pike, A. C. W., & Trapman, J. (2004) · Molecular Endocrinology · doi:10.1210/me.2003-0375 · Cited by 118
MutaBind estimates and interprets the effects of sequence variants on protein–protein interactions
Li, M., Simonetti, F. L., Goncearenco, A., & Panchenko, A. R. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw374 · Cited by 118
Modeling the structure of the StART domains of MLN64 and StAR proteins in complex with cholesterol
Murcia, M., Faráldo-Gómez, J. D., Maxfield, F. R., & Roux, B. (2006) · Journal of Lipid Research · doi:10.1194/jlr.m600232-jlr200 · Cited by 111
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
Solution structure of the ets domain of Fli-1 when bound to DNA
Liang, H., Mao, X., Olejniczak, E. T., Nettesheim, D. G., Yu, L., Meadows, R. P., Thompson, C. B., & Fesik, S. W. (1994) · Nature Structural & Molecular Biology · doi:10.1038/nsb1294-871 · Cited by 104
Multiscale multiphysics and multidomain models—Flexibility and rigidity
Xia, K., Opron, K., & Wei, G.-W. (2013) · The Journal of Chemical Physics · doi:10.1063/1.4830404 · Cited by 88
A topological approach for protein classification
Cang, Z., Mu, L., Wu, K., Opron, K., Xia, K., & Wei, G.-W. (2015) · Computational and Mathematical Biophysics · doi:10.1515/mlbmb-2015-0009 · Cited by 93
Interactions of Human Melanocortin 4 Receptor with Nonpeptide and Peptide Agonists,
Pogozheva, I. D., Chai, B.-X., Lomize, A. L., Fong, T. M., Weinberg, D. H., Nargund, R. P., Mulholland, M. W., Gantz, I., & Mosberg, H. I. (2005) · Biochemistry · doi:10.1021/bi0501840 · Cited by 92
An overview of the prediction of protein DNA-binding sites
Si, J., Zhao, R., & Wu, R. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms16035194 · Cited by 91
Coarse graining of short polythylene chains for studying polymer crystallization
Vettorel, T., & Meyer, H. (2006) · Journal of Chemical Theory and Computation · doi:10.1021/ct0503264 · Cited by 90
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
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
All-Atom Ab Initio Folding of a Diverse Set of Proteins
Yang, J. S., Chen, W. W., Skolnick, J., & Shakhnovich, E. I. (2007) · Structure · doi:10.1016/j.str.2006.11.010 · Cited by 86
Context-Based Identification of Protein-Protein Interfaces and “Hot-Spot” Residues
Geppert, T., Hoy, B., Wessler, S., & Schneider, G. (2011) · Chemistry & Biology · doi:10.1016/j.chembiol.2011.01.005 · Cited by 80
High-affinity interaction of the K-Ras4B hypervariable region with the RAS active site
Chavan, T. S., Jang, H., Khavrutskii, L., Abraham, S. J., Banerjee, A., Freed, B. C., Johannessen, L., Tarasov, S. G., Gaponenko, V., Nussinov, R., et al. (2015) · Biophysical Journal · doi:10.1016/j.bpj.2015.09.034 · Cited by 79
Structural Features of the αβTCR Mechanotransduction Apparatus That Promote pMHC Discrimination
Brazin, K. N., Mallis, R. J., Das, D. K., Feng, Y., Hwang, W., Wang, J.-H., Wagner, G., Lang, M. J., & Reinherz, E. L. (2015) · Frontiers in Immunology · doi:10.3389/fimmu.2015.00441 · Cited by 70
Towards a Structure for a TSG-6·Hyaluronan Complex by Modeling and NMR Spectroscopy
Blundell, C. D., Almond, A., Mahoney, D. J., DeAngelis, P. L., Campbell, I. D., & Day, A. J. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m414343200 · Cited by 73
Dimensions of Biological Cellulose Nanocrystals Maximize Fracture Strength
Sinko, R., Mishra, S., Ruiz, L., Brandis, N., & Keten, S. (2014) · ACS Macro Letters · doi:10.1021/mz400471y · Cited by 73
Interactions of macromolecules with salt ions: An electrostatic theory for the Hofmeister effect
Zhou, H. (2005) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.20500 · Cited by 72
Integrative structure modeling of macromolecular assemblies from proteomics data
Lasker, K., Phillips, J. L., Russel, D., Velázquez-Muriel, J., Schneidman-Duhovny, D., Tjioe, E., Webb, B., Schlessinger, A., & Sali, A. (2010) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r110.000067 · Cited by 71
Correction of the NMR structure of the ETS1/DNA complex
Werner, M. H., Clore, G. M., Fisher, C. L., Fisher, R. J., Trinh, L., Shiloach, J., & Gronenborn, A. M. (1997) · Journal of Biomolecular NMR · doi:10.1023/a:1018399711996 · Cited by 68
Design Challenges for Hemoproteins: The Solution Structure of Apocytochrome b5,
Falzone, C. J., Mayer, M. R., Whiteman, E. L., Moore, C. D., & Lecomte, J. T. J. (1996) · Biochemistry · doi:10.1021/bi960501q · Cited by 64
Kunnus, K., Josefsson, I., Rajkovic, I., Schreck, S., Quevedo, W., Beye, M., Weniger, C., Grübel, S., Scholz, M., Nordlund, D., et al. (2016) · Structural Dynamics · doi:10.1063/1.4941602 · Cited by 60
Antibody H3 structure prediction
Marks, C., & Deane, C. M. (2017) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2017.01.010 · Cited by 56
Challenges in the computational design of proteins
Suárez, M., & Jaramillo, A. (2009) · Journal of The Royal Society Interface · doi:10.1098/rsif.2008.0508.focus · Cited by 59
Transitions in microtubule C-termini conformations as a possible dendritic signaling phenomenon
Priel, A., Tuszynski, J. A., & Woolf, N. J. (2005) · European Biophysics Journal · doi:10.1007/s00249-005-0003-0 · Cited by 57
Howard, R. J., Trudell, J. R., & Harris, R. A. (2014) · Pharmacological Reviews · doi:10.1124/pr.113.007468 · Cited by 56
Models of the Structure and Voltage-Gating Mechanism of the Shaker K+ Channel
Durell, S. R., Shrivastava, I. H., & Guy, H. R. (2004) · Biophysical Journal · doi:10.1529/biophysj.104.040618 · Cited by 56
Nucleotide modifications and tRNA anticodon–mRNA codon interactions on the ribosome
Allnér, O., & Nilsson, L. (2011) · RNA · doi:10.1261/rna.029231.111 · Cited by 50
Longo, P., Pragliola, S., Milano, G., & Guerra, G. (2003) · Journal of the American Chemical Society · doi:10.1021/ja028462v · Cited by 47
Kamachi, T., Nakayama, T., Shitamichi, O., Jitsumori, K., Kurihara, T., Esaki, N., & Yoshizawa, K. (2009) · Chemistry – A European Journal · doi:10.1002/chem.200801813 · Cited by 47
A switch point in the molecular chaperone Hsp90 responding to client interaction
Rutz, D. A., Luo, Q., Freiburger, L., Madl, T., Kaila, V. R. I., Sattler, M., & Buchner, J. (2018) · Nature Communications · doi:10.1038/s41467-018-03946-x · Cited by 37
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
Zhou, H., Cao, H., & Skolnick, J. (2018) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.8b00309 · Cited by 39
Kinesin Has Three Nucleotide-dependent Conformations
Xing, J., Wriggers, W., Jefferson, G. M., Stein, R., Cheung, H. C., & Rosenfeld, S. S. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.m004232200 · 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
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
Li, Y., Yue, Y., Zhang, H., Yang, Z., Wang, H., Tian, S., Wang, J.-B., Zhang, Q., & Wang, W. (2019) · Environment International · doi:10.1016/j.envint.2019.104999 · Cited by 33
Molecular basis for the mechanism of action of an anti‐TACE antibody
Peng, L., Cook, K., Xu, L., Cheng, L., Damschroder, M., Gao, C., Wu, H., & Dall'Acqua, W. F. (2016) · mAbs · doi:10.1080/19420862.2016.1226716 · Cited by 30
Peck Justice, S. A., Barron, M. P., Qi, G. D., Wijeratne, H. R. S., Victorino, J. F., Simpson, E. R., Vilseck, J. Z., Wijeratne, A. B., & Mosley, A. L. (2020) · Journal of Biological Chemistry · doi:10.1074/jbc.ra120.014576 · Cited by 28
Peck Justice, S. A., Qi, G., Wijeratne, H. R. S., Victorino, J. F., Simpson, E. R., Wijeratne, A. B., & Mosley, A. L. (2019) · doi:10.1101/2019.12.30.891267 · Cited by 28
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Ramos, J., & Lazaridis, T. (2006) · Journal of the American Chemical Society · doi:10.1021/ja0655284 · Cited by 28
Metadata
- Authors
- Brooks, B. R., Bruccoleri, R. E., Olafson, B. D., States, D. J., Swaminathan, S., & Karplus, M.
- Venue
- Journal of Computational Chemistry
- Publisher
- Wiley
- Published
- 1983-06
- Volume
- 4
- Issue
- 2
- Pages
- 187-217
- ISSN
- 0192-8651 (ISSN-L)
- 1096-987X
- OpenAlex
- W2162166182
- Cited by
- 14,944
- References
- 3
- FWCI
- 11.50
- 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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.