title: Prediction of contacts from correlated sequence substitutions.
abstract: Recent work has led to a substantial improvement in the accuracy of predictions of contacts between amino acids using evolutionary information derived from multiple sequence alignments. Where large numbers of diverse sequence relatives are available and can be aligned to the sequence of a protein of unknown structure it is now possible to generate high-resolution models without recourse to the structure of a template. In this review we describe these exciting new techniques and critically assess the state-of-the-art in contact prediction in the light of these. While concentrating on methods, we also discuss applications to protein and RNA structure prediction as well as potential future developments.
authors.affiliation: Division of Mathematical Biology, MRC National Institute for Medical Research, The Ridgeway, Mill Hill, London NW7 1AA, UK. wtaylor@nimr.mrc.ac.uk
authors.forename: William R
authors.initials: WR
authors.lastname: Taylor
authors.forename: Russell S
authors.initials: RS
authors.lastname: Hamilton
authors.forename: Michael I
authors.initials: MI
authors.lastname: Sadowski
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D019943:Amino Acid Substitution; D000596:Amino Acids / Q000737:chemistry*; D019143:Evolution, Molecular; D006801:Humans; D008958:Models, Molecular; D011487:Protein Conformation; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry* / Q000235:genetics; D016415:Sequence Alignment
chemical_list: D000596:Amino Acids; D011506:Proteins