title: Protein function from sequence and structure data.
abstract: With the large amount of genomics and proteomics data that we are confronted with, computational support for the elucidation of protein function becomes more and more pressing. Many different kinds of biological data harbour signals of protein function, but these signals are often concealed. Computational methods that use protein sequence and structure data can be used for discovering these signals. They provide information that can substantially speed up experimental function elucidation. In this review we concentrate on such methods.
authors.affiliation: Max-Planck-Institut für Informatik, Saarbrücken, Germany. doming@mpi-sb.mpg.de
authors.forename: Francisco S
authors.initials: FS
authors.lastname: Domingues
authors.forename: Thomas
authors.initials: T
authors.lastname: Lengauer
mesh_terms: D000595:Amino Acid Sequence; D017124:Conserved Sequence; D030562:Databases, Protein; D008969:Molecular Sequence Data; D011506:Proteins / Q000737:chemistry* / Q000145:classification / Q000235:genetics / Q000378:metabolism*; D016415:Sequence Alignment / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods*; D017386:Sequence Homology, Amino Acid; D013329:Structure-Activity Relationship
chemical_list: D011506:Proteins