A family of evolution-entropy hybrid methods for ranking protein residues by importance |
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Authors: | Mihalek I Res I Lichtarge O |
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Affiliation: | Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza T921, Houston, TX 77030, USA. |
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Abstract: | In order to identify the amino acids that determine protein structure and function it is useful to rank them by their relative importance. Previous approaches belong to two groups; those that rely on statistical inference, and those that focus on phylogenetic analysis. Here, we introduce a class of hybrid methods that combine evolutionary and entropic information from multiple sequence alignments. A detailed analysis in insulin receptor kinase domain and tests on proteins that are well-characterized experimentally show the hybrids' greater robustness with respect to the input choice of sequences, as well as improved sensitivity and specificity of prediction. This is a further step toward proteome scale analysis of protein structure and function. |
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Keywords: | bioinformatics evolutionary trace information entropy functional site binding interaction |
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