Evolutionary constraint networks in ligand-binding domains: an information-theoretic approach.
Ligand-binding sites in homologous protein domains can diverge greatly during evolution. This poses a particularly interesting problem in those cases where the ligand-binding site is situated in, or close to, the domain core, or where ligand-docking induces dramatic conformational changes. These features are present in many receptors and enzymes; the hormone-binding domain of the nuclear receptors for steroids and retinoids, for example, exhibits both characteristics. It is therefore of great interest to determine how binding sites for diverse ligands evolve in core regions of structurally dynamic domains. Are evolutionary changes locally restricted to the ligand-binding site, or are they distributed throughout the domain? We describe here an information-theoretic approach for the study of covariation between ligand-contacting residues and compensatory mutations that preserve the structural integrity and the conformational dynamics of ligand-binding domains. We apply this method to the analysis of the nuclear receptor ligand-binding domain and show that the ligand-contacting residues in the hormone-binding pocket are evolutionarily linked to an extensive network of covarying positions.
Nagl
S B
SB
Biomolecular Engineering Research Center, College of Engineering, Boston University, MA 02215, USA. nagls@darwin.bu.edu
Freeman
J
J
Smith
T F
TF
D000595:Amino Acid Sequence; D001665:Binding Sites; D005075:Biological Evolution; D017124:Conserved Sequence; D018360:Crystallography, X-Ray; D016208:Databases, Factual; D006801:Humans; D007257:Information Theory; D008024:Ligands; D008957:Models, Genetic; D008958:Models, Molecular; D008969:Molecular Sequence Data; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000235:genetics*; D018168:Receptors, Retinoic Acid / Q000737:chemistry* / Q000235:genetics; D016415:Sequence Alignment; D000097768:Retinoic Acid Receptor gamma
D008024:Ligands; D011506:Proteins; D018168:Receptors, Retinoic Acid; D000097768:Retinoic Acid Receptor gamma