title: Identification of functionally important residues in proteins using comparative models.
abstract: Rational design in protein engineering leads to significant progresses in medicinal chemistry research. It alleviates the difficulty of exploring unreasonable biological functions. Combining with analysis of biophysical-chemical properties, a three-dimensional (3D) structure provides fruitful information for rational design by revealing functionally important residues. Comparative (homology) modeling, one of the 3D structural prediction techniques, takes advantage of that homologous proteins share similarity in their 3D structures despite the lack of sequence similarity. Of the most value, 3D models provide functional clues even though the function may have been modified during evolution. We illustrate here two applications to medicinal chemistry research where comparative models made a significant improvement on the understanding of relevant biological functions of two proteins. These multiple collaborative projects involve the identification of solvent-exposed residues in a membrane anchoring domain of human coagulation factor V, and revealing critical residues in the interfaces of an antibody and a polynuclear aromatic hydrocarbon ligand. Since the protocol of comparative modeling technique we employed is essential to proposing useful hypotheses for experimental testing, we also present our methodology underlying our modeling programs. Our results show that inaccuracies in comparative models do not hamper functional evaluation as long as an in depth analysis of 3D structures is performed.
authors.affiliation: Biophysics department, Centre de Recherches de Biochimie Macromoléculaire, CNRS, 1919 Route de Mende, 34293 Montpellier, Cedex 5, France.
authors.forename: Shu-Wen W
authors.initials: SW
authors.lastname: Chen
authors.forename: Jean-Luc
authors.initials: JL
authors.lastname: Pellequer
mesh_terms: D000595:Amino Acid Sequence; D000911:Antibodies, Monoclonal / Q000378:metabolism; D001564:Benzo(a)pyrene / Q000737:chemistry / Q000378:metabolism; D001665:Binding Sites; D019295:Computational Biology / Q000379:methods*; D015195:Drug Design; D015943:Factor Va / Q000737:chemistry / Q000378:metabolism; D006801:Humans; D008958:Models, Molecular; D008969:Molecular Sequence Data; D010743:Phospholipids / Q000378:metabolism; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000502:physiology*; D016415:Sequence Alignment; D013329:Structure-Activity Relationship
chemical_list: D000911:Antibodies, Monoclonal; D010743:Phospholipids; D011506:Proteins; D001564:Benzo(a)pyrene; D015943:Factor Va