Evolutionarily conserved networks of residues mediate allosteric communication in proteins Export

@article{citeulike:216611, abstract = {A fundamental goal in cellular signaling is to understand allosteric communication, the process by which signals originating at one site in a protein propagate reliably to affect distant functional sites. The general principles of protein structure that underlie this process remain unknown. Here, we describe a sequence-based statistical method for quantitatively mapping the global network of amino acid interactions in a protein. Application of this method for three structurally and functionally distinct protein families (G protein−coupled receptors, the chymotrypsin class of serine proteases and hemoglobins) reveals a surprisingly simple architecture for amino acid interactions in each protein family: a small subset of residues forms physically connected networks that link distant functional sites in the tertiary structure. Although small in number, residues comprising the network show excellent correlation with the large body of mechanistic data available for each family. The data suggest that evolutionarily conserved sparse networks of amino acid interactions represent structural motifs for allosteric communication in proteins.}, address = {[1] These authors contributed equally to this work. [2] Howard Hughes Medical Institute and Department of Pharmacology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, Texas 75390-9050, USA.}, author = {Suel, Gurol M. and Lockless, Steve W. and Wall, Mark A. and Ranganathan, Rama}, citeulike-article-id = {216611}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nsb881}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nsb881}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/12483203}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=12483203}, day = {16}, doi = {10.1038/nsb881}, issn = {1072-8368}, journal = {Nature Structural \& Molecular Biology}, keywords = {allostery, evolution, statistical\_coupling}, month = {December}, number = {1}, pages = {59--69}, posted-at = {2005-11-22 16:52:28}, priority = {2}, publisher = {Nature Publishing Group}, title = {Evolutionarily conserved networks of residues mediate allosteric communication in proteins}, url = {http://dx.doi.org/10.1038/nsb881}, volume = {10}, year = {2002} }

TY - JOUR ID - citeulike:216611 L3 - citeulike-article-id:216611 N2 - A fundamental goal in cellular signaling is to understand allosteric communication, the process by which signals originating at one site in a protein propagate reliably to affect distant functional sites. The general principles of protein structure that underlie this process remain unknown. Here, we describe a sequence-based statistical method for quantitatively mapping the global network of amino acid interactions in a protein. Application of this method for three structurally and functionally distinct protein families (G protein−coupled receptors, the chymotrypsin class of serine proteases and hemoglobins) reveals a surprisingly simple architecture for amino acid interactions in each protein family: a small subset of residues forms physically connected networks that link distant functional sites in the tertiary structure. Although small in number, residues comprising the network show excellent correlation with the large body of mechanistic data available for each family. The data suggest that evolutionarily conserved sparse networks of amino acid interactions represent structural motifs for allosteric communication in proteins. IS - 1 JF - Nature Structural & Molecular Biology SN - 1072-8368 AD - [1] These authors contributed equally to this work. [2] Howard Hughes Medical Institute and Department of Pharmacology, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, Texas 75390-9050, USA. EP - 69 TI - Evolutionarily conserved networks of residues mediate allosteric communication in proteins PB - Nature Publishing Group VL - 10 SP - 59 KW - allostery KW - evolution KW - statistical_coupling AU - Suel, Gurol AU - Lockless, Steve AU - Wall, Mark AU - Ranganathan, Rama PY - 2002/12/16/ UR - http://dx.doi.org/10.1038/nsb881 ER -