title: Functional inferences from reconstructed evolutionary biology involving rectified databases--an evolutionarily grounded approach to functional genomics.
abstract: If bioinformatics tools are constructed to reproduce the natural, evolutionary history of the biosphere, they offer powerful approaches to some of the most difficult tasks in genomics, including the organization and retrieval of sequence data, the updating of massive genomic databases, the detection of database error, the assignment of introns, the prediction of protein conformation from protein sequences, the detection of distant homologs, the assignment of function to open reading frames, the identification of biochemical pathways from genomic data, and the construction of a comprehensive model correlating the history of biomolecules with the history of planet Earth.
authors.affiliation: Department of Chemistry, University of Florida, Gainesville, USA. benner@chem.ufl.edu
authors.forename: S A
authors.initials: SA
authors.lastname: Benner
authors.forename: S G
authors.initials: SG
authors.lastname: Chamberlin
authors.forename: D A
authors.initials: DA
authors.lastname: Liberles
authors.forename: S
authors.initials: S
authors.lastname: Govindarajan
authors.forename: L
authors.initials: L
authors.lastname: Knecht
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D005075:Biological Evolution; D019295:Computational Biology / Q000379:methods; D016208:Databases, Factual; D016678:Genome; D023281:Genomics; D006801:Humans; D008969:Molecular Sequence Data; D011506:Proteins / Q000737:chemistry / Q000235:genetics / Q000502:physiology; D017422:Sequence Analysis, DNA; D017385:Sequence Homology
chemical_list: D011506:Proteins