title: Homology modeling with low sequence identity.
abstract: The field of protein structure prediction is evolving rapidly and in the last few years a number of new methods have been developed and evaluated. However, comparative modeling, or modeling by homology, is still the method of choice when the unknown protein shares any significant sequence similarity with a protein of known structure. The accuracy of the method is highly dependent on the degree of similarity between the target protein and that used as a template. Nevertheless, careful consideration of all the steps performed in the modeling procedure allows useful information to be obtained also from a model based on very low sequence identity.
authors.affiliation: IRBM P. Angeletti, Pomezia, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Tramontano
mesh_terms: D008958:Models, Molecular; D017386:Sequence Homology, Amino Acid; D012697:Serine Endopeptidases / Q000737:chemistry*; D017361:Viral Nonstructural Proteins / Q000737:chemistry*; D043583:Nucleoside-Triphosphatase; D053487:DEAD-box RNA Helicases; D000085242:Viral Proteases
chemical_list: D012697:Serine Endopeptidases; D017361:Viral Nonstructural Proteins; C084422:NS3 protein, hepatitis C virus; D043583:Nucleoside-Triphosphatase; D053487:DEAD-box RNA Helicases; D000085242:Viral Proteases