title: Protein structure prediction on the Web: a case study using the Phyre server.
abstract: Determining the structure and function of a novel protein is a cornerstone of many aspects of modern biology. Over the past decades, a number of computational tools for structure prediction have been developed. It is critical that the biological community is aware of such tools and is able to interpret their results in an informed way. This protocol provides a guide to interpreting the output of structure prediction servers in general and one such tool in particular, the protein homology/analogy recognition engine (Phyre). New profile-profile matching algorithms have improved structure prediction considerably in recent years. Although the performance of Phyre is typical of many structure prediction systems using such algorithms, all these systems can reliably detect up to twice as many remote homologies as standard sequence-profile searching. Phyre is widely used by the biological community, with >150 submissions per day, and provides a simple interface to results. Phyre takes 30 min to predict the structure of a 250-residue protein.
authors.affiliation: Structural Bioinformatics Group, Division of Molecular Biosciences, Department of Life Sciences, Imperial College London, South Kensington Campus, London, UK. l.a.kelley@imperial.ac.uk
authors.forename: Lawrence A
authors.initials: LA
authors.lastname: Kelley
authors.forename: Michael J E
authors.initials: MJ
authors.lastname: Sternberg
mesh_terms: D019295:Computational Biology / Q000379:methods*; D020407:Internet; D008958:Models, Molecular; D016254:Mutagenesis, Insertional; D017354:Point Mutation; D011487:Protein Conformation; D017384:Sequence Deletion