作者: Rhonald C. Lua , Stephen J. Wilson , Daniel M. Konecki , Angela D. Wilkins , Eric Venner
DOI: 10.1093/NAR/GKV1279
关键词: Biology 、 Database 、 Sequence (medicine) 、 Protein structure 、 Open reading frame 、 Function (biology) 、 Phenotype 、 Peptide sequence 、 Protein sequencing 、 Coding region
摘要: The structure and function of proteins underlie most aspects biology their mutational perturbations often cause disease. To identify the molecular determinants as well targets for drugs, it is central to characterize important residues how they cluster form functional sites. Evolutionary Trace (ET) achieves this by ranking structural importance protein sequence positions. ET uses evolutionary distances estimate correlates genotype variations with those in fitness phenotype. Thus, ranks are worse positions that vary among evolutionarily closer homologs but better mostly distant homologs. This approach identifies determinants, predicts function, guides redesign allosteric specificity, interprets action coding proteins, people populations. Now, UET database offers pre-computed analyses databank, on-the-fly analysis any sequence. A web interface retrieves rankings maps results a functionally regions. integrates several ways viewing on or can be found at http://mammoth.bcm.tmc.edu/uet/.