title: Sparse networks of directly coupled, polymorphic, and functional side chains in allosteric proteins.
abstract: Recent studies have highlighted the role of coupled side-chain fluctuations alone in the allosteric behavior of proteins. Moreover, examination of X-ray crystallography data has recently revealed new information about the prevalence of alternate side-chain conformations (conformational polymorphism), and attempts have been made to uncover the hidden alternate conformations from X-ray data. Hence, new computational approaches are required that consider the polymorphic nature of the side chains, and incorporate the effects of this phenomenon in the study of information transmission and functional interactions of residues in a molecule. These studies can provide a more accurate understanding of the allosteric behavior. In this article, we first present a novel approach to generate an ensemble of conformations and an efficient computational method to extract direct couplings of side chains in allosteric proteins, and provide sparse network representations of the couplings. We take the side-chain conformational polymorphism into account, and show that by studying the intrinsic dynamics of an inactive structure, we are able to construct a network of functionally crucial residues. Second, we show that the proposed method is capable of providing a magnified view of the coupled and conformationally polymorphic residues. This model reveals couplings between the alternate conformations of a coupled residue pair. To the best of our knowledge, this is the first computational method for extracting networks of side chains' alternate conformations. Such networks help in providing a detailed image of side-chain dynamics in functionally important and conformationally polymorphic sites, such as binding and/or allosteric sites.
authors.affiliation: School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada.
authors.forename: Laleh
authors.initials: L
authors.lastname: Soltan Ghoraie
authors.forename: Forbes
authors.initials: F
authors.lastname: Burkowski
authors.forename: Mu
authors.initials: M
authors.lastname: Zhu
mesh_terms: D000465:Algorithms; D000495:Allosteric Site; D019295:Computational Biology / Q000379:methods*; D018360:Crystallography, X-Ray; D004798:Enzymes / Q000737:chemistry*; D008958:Models, Molecular; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*; D016415:Sequence Alignment; D020539:Sequence Analysis, Protein / Q000379:methods*
chemical_list: D004798:Enzymes; D011506:Proteins
keywords: GLASSO; allostery; alternate conformations; conformational polymorphism; direct coupling; network; side chains; sparse graph estimation