title: Using analyses of amino Acid coevolution to understand protein structure and function.
abstract: Determining which residues of a protein contribute to a specific function is a difficult problem. Analyses of amino acid covariation within a protein family can serve as a useful guide by identifying residues that are functionally coupled. Covariation analyses have been successfully used on several different protein families to identify residues that work together to promote folding, enable protein-protein interactions, or contribute to an enzymatic activity. Covariation is a statistical signal that can be measured in a multiple sequence alignment of homologous proteins. As sequence databases have expanded dramatically, covariation analyses have become easier and more powerful. In this chapter, we describe how functional covariation arises during the evolution of proteins and how this signal can be distinguished from various background signals. We discuss the basic methodology for performing amino acid covariation analysis, using bacterial two-component signal transduction proteins as an example. We provide practical suggestions for each step of the process including assembly of protein sequences, construction of a multiple sequence alignment, measurement of covariation, and analysis of results.
authors: Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
authors: Orr
authors: O
authors: Ashenberg
authors: Michael T
authors: MT
authors: Laub
mesh_terms: D000596:Amino Acids / Q000737:chemistry*; D019143:Evolution, Molecular; D011506:Proteins / Q000737:chemistry*; D015398:Signal Transduction
chemical_list: D000596:Amino Acids; D011506:Proteins