Emerging methods in protein co-evolution
Open accessAbstract
Co-evolution is a fundamental component of the theory of evolution and is essential for understanding the relationships between species in complex ecological networks. A wide range of co-evolution-inspired computational methods has been designed to predict molecular interactions, but it is only recently that important advances have been made. Breakthroughs in the handling of phylogenetic information and in disentangling indirect relationships have resulted in an improved capacity to predict interactions between proteins and contacts between different protein residues. Here, we review the main co-evolution-based computational approaches, their theoretical basis, potential applications and foreseeable developments.
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One of the major insights leveraged by AlphaFold comes from the use of evolutionary covariations that can be extracted from large-scale multiple sequence alignments.
“One of the major insights leveraged by AlphaFold 1,2 comes from the use of evolutionary covariations that can be extracted from large-scale multiple sequence alignments.[49][50][51][52][53][54]”
From AlphaFold and Implications for Intrinsically Disordered Proteins (2021) · cites this paper as [54]
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BUTTERFLIES AND PLANTS: A STUDY IN COEVOLUTION
Ehrlich, P. R., & Raven, P. H. (1964) · Evolution · doi:10.1111/j.1558-5646.1964.tb01674.x · Cited by 4,501 · see citing works
STRING: a database of predicted functional associations between proteins
von Mering, C. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg034 · Cited by 2,942 · see citing works
Thompson, J. N. (1994) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226797670.001.0001 · Cited by 2,108 · see citing works
Assigning protein functions by comparative genome analysis: Protein phylogenetic profiles
Pellegrini, M. A., Marcotte, E. M., Thompson, M. J., Eisenberg, D. S., & Yeates, T. O. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.8.4285 · Cited by 1,568 · see citing works
Morcos, F., Pagnani, A., Lunt, B., Bertolino, A., Marks, D. S., Sander, C., Zecchina, R., Onuchic, J. N., Hwa, T., & Weigt, M. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1111471108 · Cited by 1,434 · see citing works
Evolutionarily Conserved Pathways of Energetic Connectivity in Protein Families
Lockless, S. W., & Ranganathan, R. (1999) · Science · doi:10.1126/science.286.5438.295 · Cited by 1,288 · see citing works
An Evolutionary Trace Method Defines Binding Surfaces Common to Protein Families
Lichtarge, O., Bourne, H. R., & Cohen, F. E. (1996) · Journal of Molecular Biology · doi:10.1006/jmbi.1996.0167 · Cited by 1,196 · see citing works
Protein 3D Structure Computed from Evolutionary Sequence Variation
Marks, D. S., Colwell, L. J., Sheridan, R., Hopf, T. A., Pagnani, A., Zecchina, R., & Sander, C. (2011) · PLoS ONE · doi:10.1371/journal.pone.0028766 · Cited by 1,144 · see citing works
Identification of direct residue contacts in protein–protein interaction by message passing
Weigt, M., White, R. A., Szurmant, H., Hoch, J. A., & Hwa, T. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805923106 · Cited by 1,025 · see citing works
Peroxiredoxins are conserved markers of circadian rhythms
Edgar, R. S., Green, E. W., Zhao, Y., Gerben Van Ooijen, A., Olmedo, M., Qin, X., Xu, Y. Q., Pan, M., Valekunja, U. K., Feeney, K. A., et al. (2012) · Nature · doi:10.1038/nature11088 · Cited by 915 · see citing works
Correlated mutations and residue contacts in proteins
Göbel, U., Sander, C., Schneider, R., & Valencia, A. (1994) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.340180402 · Cited by 863 · see citing works
Self-citationEvolutionarily conserved networks of residues mediate allosteric communication in proteins
Süel, G. M., Lockless, S. W., Wall, M. A., & Ranganathan, R. (2002) · Nature Structural Biology · doi:10.1038/nsb881 · Cited by 816 · see citing works
Jones, D. T., Buchan, D. W. A., Cozzetto, D., & Pontil, M. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr638 · Cited by 760 · see citing works
β-Arrestin-dependent, G Protein-independent ERK1/2 Activation by the β2 Adrenergic Receptor
Shenoy, S. K., Drake, M. T., Nelson, C. D., Houtz, D. A., Xiao, K., Madabushi, S., Reiter, É., Premont, R. T., Lichtarge, O., & Lefkowitz, R. J. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m506576200 · Cited by 758 · see citing works
Protein Sectors: Evolutionary Units of Three-Dimensional Structure
Halabi, N. M., Rivoire, O., Leibler, S., & Ranganathan, R. (2009) · Cell · doi:10.1016/j.cell.2009.07.038 · Cited by 697 · see citing works
Similarity of phylogenetic trees as indicator of protein–protein interaction
Pazos, F., & Valencia, A. (2001) · Protein Engineering Design and Selection · doi:10.1093/protein/14.9.609 · Cited by 521 · see citing works
Self-citationThree-Dimensional Structures of Membrane Proteins from Genomic Sequencing
Hopf, T. A., Colwell, L. J., Sheridan, R., Rost, B., Sander, C., & Marks, D. S. (2012) · Cell · doi:10.1016/j.cell.2012.04.012 · Cited by 501 · see citing works
Correlated mutations contain information about protein-protein interaction 1 1Edited by A. R. Fersht
Pazos, F., Helmer‐Citterich, M., Ausiello, G., & Valencia, A. (1997) · Journal of Molecular Biology · doi:10.1006/jmbi.1997.1198 · Cited by 501 · see citing works
Self-citationDunn, S. D., Wahl, L. M., & Gloor, G. B. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm604 · Cited by 490 · see citing works
Fitch, W. M., & Markowitz, E. (1970) · Biochemical Genetics · doi:10.1007/bf00486096 · Cited by 464 · see citing works
Co-evolution of proteins with their interaction partners 1 1Edited by B. Honig
Goh, C.-S., Bogan, A. A., Joachimiak, M. P., Walther, D., & Cohen, F. E. (2000) · Journal of Molecular Biology · doi:10.1006/jmbi.2000.3732 · Cited by 439 · see citing works
Evolutionary information for specifying a protein fold
Socolich, M., Lockless, S. W., Russ, W. P., Lee, H. J., Gardner, K. H., & Ranganathan, R. (2005) · Nature · doi:10.1038/nature03991 · Cited by 437 · see citing works
A method to predict functional residues in proteins
Casari, G., Sander, C., & Valencia, A. (1995) · Nature Structural & Molecular Biology · doi:10.1038/nsb0295-171 · Cited by 425 · see citing works
Self-citationHot Spots for Allosteric Regulation on Protein Surfaces
Reynolds, K. A., McLaughlin, R. N., & Ranganathan, R. (2011) · Cell · doi:10.1016/j.cell.2011.10.049 · Cited by 350 · see citing works
Learning generative models for protein fold families
Balakrishnan, S., Kamisetty, H., Carbonell, J. G., Lee, S., & Langmead, C. J. (2011) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.22934 · Cited by 316 · see citing works
Dobzhansky, T. (1950) · Genetics · doi:10.1093/genetics/35.3.288 · Cited by 315 · see citing works
Determinants of protein function revealed by combinatorial entropy optimization
Reva, B. A., Antipin, Y., & Sander, C. (2007) · Genome biology · doi:10.1186/gb-2007-8-11-r232 · Cited by 309 · see citing works
Shindyalov, I. N., Kolchanov, N. A., & Sander, C. (1994) · "Protein Engineering, Design and Selection" · doi:10.1093/protein/7.3.349 · Cited by 297 · see citing works
A Family of Evolution–Entropy Hybrid Methods for Ranking Protein Residues by Importance
Mihalek, I., Reš, I., & Lichtarge, O. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2003.12.078 · Cited by 294 · see citing works
Altschuh, D., Lesk, A. M., Bloomer, A. C., & Klug, A. (1987) · Journal of Molecular Biology · doi:10.1016/0022-2836(87)90352-4 · Cited by 284 · see citing works
Deep architectures for protein contact map prediction
Lena, P. D., Nagata, K., & Baldi, P. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts475 · Cited by 273 · see citing works
Using information theory to search for co-evolving residues in proteins
Martin, L. C., Gloor, G. B., Dunn, S. D., & Wahl, L. M. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti671 · Cited by 259 · see citing works
Korber, B. T., Farber, R. M., Wolpert, D. H., & Lapedes, A. S. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.15.7176 · Cited by 257 · see citing works
Analysis and prediction of functional sub-types from protein sequence alignments
Hannenhalli, S., & Russell, R. B. (2000) · Journal of Molecular Biology · doi:10.1006/jmbi.2000.4036 · Cited by 257 · see citing works
In silico two‐hybrid system for the selection of physically interacting protein pairs
Pazos, F., & Valencia, A. (2002) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.10074 · Cited by 243 · see citing works
Self-citationHow frequent are correlated changes in families of protein sequences?
Neher, E. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.1.98 · Cited by 240 · see citing works
Pollock, D. D., Taylor, W. R., & Goldman, N. (1999) · Journal of Molecular Biology · doi:10.1006/jmbi.1998.2601 · Cited by 238 · see citing works
Influence of conservation on calculations of amino acid covariance in multiple sequence alignments
Fodor, A. A., & Aldrich, R. W. (2004) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.20098 · Cited by 238 · see citing works
Landgraf, R., Xénarios, I., & Eisenberg, D. S. (2001) · Journal of Molecular Biology · doi:10.1006/jmbi.2001.4540 · Cited by 231 · see citing works
Discovery of uncharacterized cellular systems by genome-wide analysis of functional linkages
Date, S. V., & Marcotte, E. M. (2003) · Nature Biotechnology · doi:10.1038/nbt861 · Cited by 227 · see citing works
Genomics-aided structure prediction
Sulkowska, J. I., Morcos, F., Weigt, M., Terence Hwa, B., & Onuchic, J. N. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1207864109 · Cited by 226 · see citing works
Exploiting the Co-evolution of Interacting Proteins to Discover Interaction Specificity
Ramani, A. K., & Marcotte, E. M. (2003) · Journal of Molecular Biology · doi:10.1016/s0022-2836(03)00114-1 · Cited by 220 · see citing works
Olmea, O., & Valencia, A. (1997) · Folding and Design · doi:10.1016/s1359-0278(97)00060-6 · Cited by 204 · see citing works
Self-citationAutomatic Methods for Predicting Functionally Important Residues
Mesa, A. D. S., Pazos, F., & Valencia, A. (2003) · Journal of Molecular Biology · doi:10.1016/s0022-2836(02)01451-1 · Cited by 204 · see citing works
Self-citationMadabushi, S., Yao, H., Marsh, M., Kristensen, D. M., Philippi, A., Sowa, M. E., & Lichtarge, O. (2002) · Journal of Molecular Biology · doi:10.1006/jmbi.2001.5327 · Cited by 200 · see citing works
Disentangling Direct from Indirect Co-Evolution of Residues in Protein Alignments
Burger, L., & van Nimwegen, E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000633 · Cited by 193 · see citing works
High-confidence prediction of global interactomes based on genome-wide coevolutionary networks
Juan, D., Pazos, F., & Valencia, A. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709671105 · Cited by 193 · see citing works
Self-citationProtein co‐evolution, co‐adaptation and interactions
Pazos, F., & Valencia, A. (2008) · The EMBO Journal · doi:10.1038/emboj.2008.189 · Cited by 191 · see citing works
Self-citationAccurate prediction of protein–protein interactions from sequence alignments using a Bayesian method
Burger, L., & van Nimwegen, E. (2008) · Molecular Systems Biology · doi:10.1038/msb4100203 · Cited by 191 · see citing works
Identification of amino acid residues crucial for chemokine receptor dimerization
Hernanz‐Falcón, P., Rodrı́guez-Frade, J. M., Serrano, A., Juan, D., del Sol, A., Soriano, S. F., Roncal, F., Gómez, L., Valencia, A., Martínez‐A, C., et al. (2004) · Nature Immunology · doi:10.1038/ni1027 · Cited by 189 · see citing works
Self-citationThe coevolution of gene family trees
Fryxell, K. J. (1996) · Trends in Genetics · doi:10.1016/s0168-9525(96)80020-5 · Cited by 187 · see citing works
Mapping pathways of allosteric communication in GroEL by analysis of correlated mutations
Kass, I., & Horovitz, A. (2002) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.10180 · Cited by 186 · see citing works
Nugent, T., & Jones, D. T. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120036109 · Cited by 174 · see citing works
Fares, M. A., & Travers, S. A. A. (2006) · Genetics · doi:10.1534/genetics.105.053249 · Cited by 172 · see citing works
The Coevolving Web of Life(American Society of Naturalists Presidential Address)
Thompson, J. N. (2009) · The American Naturalist · doi:10.1086/595752 · Cited by 165 · see citing works
Detecting Coevolution in and among Protein Domains
Yeang, C., & Haussler, D. H. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030211 · Cited by 165 · see citing works
Predicting Functional Gene Links from Phylogenetic-Statistical Analyses of Whole Genomes
Barker, D., & Pagel, M. D. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010003 · Cited by 165 · see citing works
High-resolution protein complexes from integrating genomic information with molecular simulation
Schug, A. H., Weigt, M., Onuchic, J. N., Terence Hwa, B., & Szurmant, H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0912100106 · Cited by 162 · see citing works
Compensating changes in protein multiple sequence alignments
Taylor, W. R., & Hatrick, K. (1994) · Protein Engineering Design and Selection · doi:10.1093/protein/7.3.341 · Cited by 152 · see citing works
Predicting functional gene-links from phylogenetic-statistical analyses of whole genomes
Barker, D., & Pagel, M. D. (2006) · IEEE Computational Systems Bioinformatics Conference (CSB) · doi:10.1109/csbw.2005.110 · Cited by 152 · see citing works
Pazos, F., Ranea, J. A. G., Juan, D., & Sternberg, M. J. E. (2005) · Journal of Molecular Biology · doi:10.1016/j.jmb.2005.07.005 · Cited by 146 · see citing works
Self-citationA Model-Based Approach for Detecting Coevolving Positions in a Molecule
Dutheil, J. Y., Pupko, T., Jean‐Marie, A., & Galtier, N. (2005) · Molecular Biology and Evolution · doi:10.1093/molbev/msi183 · Cited by 146 · see citing works
Protein interactions and ligand binding: From protein subfamilies to functional specificity
Rausell, A., Juan, D., Pazos, F., & Valencia, A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908044107 · Cited by 145 · see citing works
Self-citationCoevolution of Interacting Fertilization Proteins
Clark, N. L., Gasper, J., Sekino, M., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000570 · Cited by 141 · see citing works
Sato, T., Yamanishi, Y., Kanehisa, M. I., et al. (2005) · Computer applications in the biosciences · doi:10.1093/bioinformatics/bti564 · Cited by 138 · see citing works
Dago, A. E., Schug, A. H., Procaccini, A., Hoch, J. A., Weigt, M., & Szurmant, H. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1201301109 · Cited by 136 · see citing works
Mirny, L. A., & Gelfand, M. S. (2002) · Journal of Molecular Biology · doi:10.1016/s0022-2836(02)00587-9 · Cited by 131 · see citing works
Jothi, R., Cherukuri, P. F., Tasneem, A., et al. (2006) · Journal of Molecular Biology · doi:10.1016/j.jmb.2006.07.072 · Cited by 130 · see citing works
Capra, E. J., Perchuk, B. S., Skerker, J. M., & Laub, M. T. (2012) · Cell · doi:10.1016/j.cell.2012.05.033 · Cited by 130 · see citing works
Tillier, E. R. M., & Lui, T. W. H. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btg072 · Cited by 127 · see citing works
Microbial Genescapes: Phyletic and Functional Patterns of ORF Distribution among Prokaryotes
Gaasterland, T., & Ragan, M. A. (1998) · Microbial & Comparative Genomics · doi:10.1089/omi.1.1998.3.199 · Cited by 125 · see citing works
Correlated mutations in models of protein sequences: phylogenetic and structural effects
Lapedes, A. S., Giraud, B., Liu, L., & Stormo, G. D. (1999) · Institute of Mathematical Statistics Lecture Notes - Monograph Series · doi:10.1214/lnms/1215455556 · Cited by 124 · see citing works
Refined phylogenetic profiles method for predicting protein-protein interactions
Sun, J., Xu, J., Liu, Z., Liu, Q., Zhao, A., Shi, T., & Li, Y. (2005) · Computer applications in the biosciences · doi:10.1093/bioinformatics/bti532 · Cited by 124 · see citing works
Watanabe, M., Ito, A., Takada, Y., et al. (2000) · FEBS Letters · doi:10.1016/s0014-5793(00)01514-3 · Cited by 114 · see citing works
Distinct faces of the Ku heterodimer mediate DNA repair and telomeric functions
Ribes‐Zamora, A., Mihalek, I., Lichtarge, O., & Bertuch, A. A. (2007) · Nature Structural & Molecular Biology · doi:10.1038/nsmb1214 · Cited by 103 · see citing works
Genetic Architecture of Physiological Phenotypes: Empirical Evidence for Coadapted Gene Complexes
Burton, R. S., Rawson, P. D., & Edmands, S. (1999) · American Zoologist · doi:10.1093/icb/39.2.451 · Cited by 102 · see citing works
Rodriguez, G. J., Yao, R., Lichtarge, O., & Wensel, T. G. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914877107 · Cited by 96 · see citing works
Fairman, J. W., Dautin, N., Wójtowicz, D., Liu, W., Noinaj, N., Barnard, T. J., Udho, E., Przytycka, T. M., Cherezov, V., & Buchanan, S. K. (2012) · Structure · doi:10.1016/j.str.2012.04.011 · Cited by 93 · see citing works
CASP6 assessment of contact prediction
Graña‐Castro, O., Baker, D. A., MacCallum, R. M., et al. (2005) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.20739 · Cited by 92 · see citing works
Challenges for the prediction of macromolecular interactions
Wass, M. N., David, A., & Sternberg, M. J. E. (2011) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2011.03.013 · Cited by 88 · see citing works
Effector Recognition by the Small GTP-binding Proteins Ras and Ral
BAUER, B. E., Mirey, G., Vetter, I. R., Ranea, J. A. G., Valencia, A., Wittinghofer, A., Camonis, J., & Cool, R. H. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.25.17763 · Cited by 82 · see citing works
Self-citationStudying the co-evolution of protein families with the Mirrortree web server
Ochoa, D., & Pazos, F. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq137 · Cited by 80 · see citing works
Self-citationWallace, B. B. (1953) · The American Naturalist · doi:10.1086/281795 · Cited by 79 · see citing works
Jothi, R., Przytycka, T. M., & Aravind, L. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-173 · Cited by 79 · see citing works
Predicting protein-protein interaction by searching evolutionary tree automorphism space
Jothi, R., Kann, M. G., & Przytycka, T. M. (2005) · Computer applications in the biosciences · doi:10.1093/bioinformatics/bti1009 · Cited by 76 · see citing works
Morillas, M., Gómez‐Puertas, P., Bentebibel, A., Sellés, E., Casals, N., Valencia, A., Hegardt, F. G., Asins, G., & Serra, D. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m209999200 · Cited by 72 · see citing works
Self-citationGershoni, M., Fuchs, A., Shani, N., Fridman, Y., Corral‐Debrinski, M., Aharoni, A., Frishman, D., & Mishmar, D. (2010) · Journal of Molecular Biology · doi:10.1016/j.jmb.2010.09.029 · Cited by 65 · see citing works
The human protein coevolution networkPreprint
Tillier, E. R. M., & Charlebois, R. L. (2009) · Genome Research · doi:10.1101/gr.092452.109 · Cited by 61 · see citing works
Fleishman, S. J., Yifrach, O., & Ben‐Tal, N. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.04.064 · Cited by 59 · see citing works
Sato, T., Yamanishi, Y., Horimoto, K., Kanehisa, M. I., & Toh, H. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl419 · Cited by 58 · see citing works
Correlated Evolution of Interacting Proteins: Looking Behind the Mirrortree
Kann, M. G., Shoemaker, B. A., Panchenko, A. R., et al. (2008) · Journal of Molecular Biology · doi:10.1016/j.jmb.2008.09.078 · Cited by 57 · see citing works
Ranea, J. A. G., Yeats, C., Grant, A., & Orengo, C. A. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030237 · Cited by 48 · see citing works
Predicting biological networks from genomic data
Harrington, E. D., Jensen, L. J., & Peer Bork, B. (2008) · FEBS Letters · doi:10.1016/j.febslet.2008.02.033 · Cited by 47 · see citing works
Predicting protein domain interactions from coevolution of conserved regions
Kann, M. G., Jothi, R., Cherukuri, P. F., et al. (2007) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.21347 · Cited by 45 · see citing works
Bayesian search of functionally divergent protein subgroups and their function specific residues
Marttinen, P., Corander, J., Törönen, P., & Holm, L. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl411 · Cited by 45 · see citing works
Scoring docking models with evolutionary information
Tress, M. L., Juan, D., Graña‐Castro, O., et al. (2005) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.20570 · Cited by 45 · see citing works
Zamir, L., Zaretsky, M., Fridman, Y., Ner‐Gaon, H., Rubin, E., & Aharoni, A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1108633109 · Cited by 42 · see citing works
Co‐evolution and co‐adaptation in protein networks
Juan, D., Pazos, F., & Valencia, A. (2008) · FEBS Letters · doi:10.1016/j.febslet.2008.02.017 · Cited by 41 · see citing works
Self-citationCombining specificity determining and conserved residues improves functional site prediction
Kalinina, O. V., Gelfand, M. S., & Russell, R. B. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-174 · Cited by 40 · see citing works
Predicted residue–residue contacts can help the scoring of 3D models
Tress, M. L., & Valencia, A. (2010) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.22714 · Cited by 39 · see citing works
Self-citationCodep: Maximizing co‐evolutionary interdependencies to discover interacting proteins
Tillier, E. R. M., Biro, L., Li, G. X., & Tillo, D. (2006) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.20948 · Cited by 34 · see citing works
Brown, C. A., & Brown, K. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010779 · Cited by 31 · see citing works
Inferring Functional Linkages between Proteins from Evolutionary Scenarios
Zhou, Y. L., Wang, R., Li, L., et al. (2006) · Journal of Molecular Biology · doi:10.1016/j.jmb.2006.04.011 · Cited by 29 · see citing works
Izarzugaza, J. M. G., Juan, D., Pons, C., et al. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-35 · Cited by 24 · see citing works
Prioritization of pathogenic mutations in the protein kinase superfamily
Izarzugaza, J. M. G., del Pozo, Á., Vázquez, M., & Valencia, A. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-s4-s3 · Cited by 24 · see citing works
Self-citationComparison of phylogenetic trees through alignment of embedded evolutionary distances
Choi, K., & Gomez, S. M. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-423 · Cited by 23 · see citing works
Direct correlation analysis improves fold recognition
Sadowski, M. I., Maksimiak, K., & Taylor, W. R. (2011) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2011.08.002 · Cited by 22 · see citing works
Characterization of pathogenic germline mutations in human Protein Kinases
Izarzugaza, J. M. G., Hopcroft, L. E. M., Barešić, A., Orengo, C. A., Martin, A. C. R., & Valencia, A. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-s4-s1 · Cited by 20 · see citing works
Self-citationA novel method for assigning functional linkages to proteins using enhanced phylogenetic trees
Ta, H. X., Koskinen, P., & Holm, L. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq705 · Cited by 19 · see citing works
Selection of organisms for the co-evolution-based study of protein interactions
Herman, D., Ochoa, D., Juan, D., et al. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-363 · Cited by 13 · see citing works
Correlated mutations via regularized multinomial regression
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Flagged first, then by citations
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- Authors
- de Juan, D., Pazos, F., & Valencia, A.
- Affiliations
- Centro Nacional de Biotecnología (ES)
- Spanish National Cancer Research Centre (ES)
- Corresponding author
- Valencia, Alfonso
- Venue
- Nature Reviews Genetics
- Published
- 2013-03-05
- Volume
- 14
- Issue
- 4
- Pages
- 249-261
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2065921821
- Cited by
- 607
- References
- 112
- Citations by year
- 2026: 15 · 2025: 30 · 2024: 24 · 2023: 34 · 2022: 43 · 2021: 64 · 2020: 43 · 2019: 56 · 2018: 49 · 2017: 56 · 2016: 65 · 2015: 56 · 2014: 50 · 2013: 22
- FWCI
- 6.06
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, other-oa)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
- Keywords
- protein-protein interaction, protein domain interactions, phylogenetic analysis, indirect interactions, molecular interaction prediction, ecological networks
- MeSH terms
- Animals, Humans, Models, Genetic, Models, Molecular, Mutation, Phylogeny, Proteins, Protein Structure, Tertiary, Evolution, Molecular, Computational Biology
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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