Protein structure prediction on the Web: a case study using the Phyre server

• Published in: Nature protocols Vol. 4; no. 3; pp. 363 - 371
• Main Authors: Kelley, Lawrence A, Sternberg, Michael J E
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.02.2009; Nature Publishing Group
• Subjects: Algorithms; Analytical Chemistry; Bioinformatics; Biological Techniques; Biomedical and Life Sciences; Case studies; Computational Biology - methods; Computational Biology/Bioinformatics; File servers; Internet; Life Sciences; Methods; Microarrays; Models, Molecular; Mutagenesis, Insertional; Organic Chemistry; Point Mutation; Protein Conformation; Protein research; Proteins; protocol; Sequence Deletion; Structure; Web sites; United Kingdom
• ISSN: 1754-2189; 1750-2799
• DOI: 10.1038/nprot.2009.2

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.