Evolutionary trace for prediction and redesign of protein functional sites.

作者: Angela Wilkins , Serkan Erdin , Rhonald Lua , Olivier Lichtarge

DOI: 10.1007/978-1-61779-465-0_3

关键词:

摘要: The evolutionary trace (ET) is the single most validated approach to identify protein functional determinants and target mutational analysis, engineering drug design relevant sites of a protein. It applies entire proteome; its predictions come with reliability score; results typically reach significance in families 20 or more sequence homologs. In order hot spots, ET scans multiple alignment for residue variations that correlate major divergences. case studies this enables selective separation, recoding, mimicry and, on large scale, specific function based motifs built from select ET-identified residues. therefore an accurate, scalable efficient method molecular direct their rational perturbation therapeutic purposes. Public servers are located at: http://mammoth.bcm.tmc.edu/.

参考文章(43)
R. Onrust, P. Herzmark, P. Chi, P. D. Garcia, O. Lichtarge, C. Kingsley, H. R. Bourne, Receptor and βγ Binding Sites in the α Subunit of the Retinal G Protein Transducin Science. ,vol. 275, pp. 381- 384 ,(1997) , 10.1126/SCIENCE.275.5298.381
W. L. Delano, The PyMOL Molecular Graphics System DeLano Scientific. ,(2002)
Lavanya Rajagopalan, Fred A. Pereira, Olivier Lichtarge, William E. Brownell, Identification of functionally important residues/domains in membrane proteins using an evolutionary approach coupled with systematic mutational analysis. Methods of Molecular Biology. ,vol. 493, pp. 287- 297 ,(2009) , 10.1007/978-1-59745-523-7_17
A. D. Wilkins, R. Lua, S. Erdin, R. M. Ward, O. Lichtarge, Sequence and structure continuity of evolutionary importance improves protein functional site discovery and annotation Protein Science. ,vol. 19, pp. 1296- 1311 ,(2010) , 10.1002/PRO.406
Mathew E. Sowa, Wei He, Kevin C. Slep, Michele A. Kercher, Olivier Lichtarge, Theodore G. Wensel, Prediction and confirmation of a site critical for effector regulation of RGS domain activity. Nature Structural & Molecular Biology. ,vol. 8, pp. 234- 237 ,(2001) , 10.1038/84974
E. C. Webb, Enzyme nomenclature 1992. Recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the Nomenclature and Classification of Enzymes. Enzyme nomenclature 1992. Recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the Nomenclature and Classification of Enzymes.. ,(1992)
Craig T Porter, Gail J Bartlett, Janet M Thornton, The Catalytic Site Atlas: a resource of catalytic sites and residues identified in enzymes using structural data Nucleic Acids Research. ,vol. 32, pp. 129D- 133 ,(2004) , 10.1093/NAR/GKH028
Serkan Erdin, R. Matthew Ward, Eric Venner, Olivier Lichtarge, Evolutionary Trace Annotation of Protein Function in the Structural Proteome Journal of Molecular Biology. ,vol. 396, pp. 1451- 1473 ,(2010) , 10.1016/J.JMB.2009.12.037
O. Lichtarge, H. R. Bourne, F. E. Cohen, Evolutionarily conserved Galphabetagamma binding surfaces support a model of the G protein-receptor complex. Proceedings of the National Academy of Sciences of the United States of America. ,vol. 93, pp. 7507- 7511 ,(1996) , 10.1073/PNAS.93.15.7507
Olivier Lichtarge, Keith R Yamamoto, Fred E Cohen, Identification of functional surfaces of the zinc binding domains of intracellular receptors. Journal of Molecular Biology. ,vol. 274, pp. 325- 337 ,(1997) , 10.1006/JMBI.1997.1395