Literature DB >> 10869020

An ontology for biological function based on molecular interactions.

P D Karp1.   

Abstract

MOTIVATIONS: A number of important bioinformatics computations involve computing with function: executing computational operations whose inputs or outputs are descriptions of the functions of biomolecules. Examples include performing functional queries to sequence and pathway databases, and determining functional equality to evaluate algorithms that predict function from sequence. A prerequisite to computing with function is the existence of an ontology that provides a structured semantic encoding of function. Functional bioinformatics is an emerging subfield of bioinformatics that is concerned with developing ontologies and algorithms for computing with biological function.
RESULTS: The article explores the notion of computing with function, and explains the importance of ontologies of function to bioinformatics. The functional ontology developed for the EcoCyc database is presented. This ontology can encode a diverse array of biochemical processes, including enzymatic reactions involving small-molecule substrates and macromolecular substrates, signal-transduction processes, transport events, and mechanisms of regulation of gene expression. The ontology is validated through its use to express complex functional queries for the EcoCyc DB. CONTACT: pkarp@ai.sri.com

Mesh:

Substances:

Year:  2000        PMID: 10869020     DOI: 10.1093/bioinformatics/16.3.269

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  30 in total

1.  BIND--The Biomolecular Interaction Network Database.

Authors:  G D Bader; I Donaldson; C Wolting; B F Ouellette; T Pawson; C W Hogue
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

Review 2.  Microarray data quality analysis: lessons from the AFGC project. Arabidopsis Functional Genomics Consortium.

Authors:  David Finkelstein; Rob Ewing; Jeremy Gollub; Fredrik Sterky; J Michael Cherry; Shauna Somerville
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

Review 3.  Surviving in a sea of data: a survey of plant genome data resources and issues in building data management systems.

Authors:  Leonore Reiser; Lukas A Mueller; Seung Yon Rhee
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

4.  DIAN: a novel algorithm for genome ontological classification.

Authors:  Y Pouliot; J Gao; Q J Su; G G Liu; X B Ling
Journal:  Genome Res       Date:  2001-10       Impact factor: 9.043

5.  Functional versatility and molecular diversity of the metabolic map of Escherichia coli.

Authors:  S Tsoka; C A Ouzounis
Journal:  Genome Res       Date:  2001-09       Impact factor: 9.043

6.  PipeOnline 2.0: automated EST processing and functional data sorting.

Authors:  Patricia Ayoubi; Xiaojing Jin; Saul Leite; Xianghui Liu; Jeson Martajaja; Abdurashid Abduraham; Qiaolan Wan; Wei Yan; Eduardo Misawa; Rolf A Prade
Journal:  Nucleic Acids Res       Date:  2002-11-01       Impact factor: 16.971

7.  Automated metabolic reconstruction for Methanococcus jannaschii.

Authors:  Sophia Tsoka; David Simon; Christos A Ouzounis
Journal:  Archaea       Date:  2004-10       Impact factor: 3.273

8.  Querying and computing with BioCyc databases.

Authors:  Markus Krummenacker; Suzanne Paley; Lukas Mueller; Thomas Yan; Peter D Karp
Journal:  Bioinformatics       Date:  2005-06-16       Impact factor: 6.937

Review 9.  The EcoCyc Database.

Authors:  Peter D Karp; Wai Kit Ong; Suzanne Paley; Richard Billington; Ron Caspi; Carol Fulcher; Anamika Kothari; Markus Krummenacker; Mario Latendresse; Peter E Midford; Pallavi Subhraveti; Socorro Gama-Castro; Luis Muñiz-Rascado; César Bonavides-Martinez; Alberto Santos-Zavaleta; Amanda Mackie; Julio Collado-Vides; Ingrid M Keseler; Ian Paulsen
Journal:  EcoSal Plus       Date:  2018-11

10.  Computational analysis of Plasmodium falciparum metabolism: organizing genomic information to facilitate drug discovery.

Authors:  Iwei Yeh; Theodor Hanekamp; Sophia Tsoka; Peter D Karp; Russ B Altman
Journal:  Genome Res       Date:  2004-04-12       Impact factor: 9.043

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