Protein function prediction
Protein function prediction methods are techniques that bioinformatics researchers use to assign biological or biochemical roles to proteins. These proteins are usually ones that are poorly studied or predicted based on genomic sequence data. These predictions are often driven by data-intensive computational procedures. Information may come from nucleic acid sequence homology, gene expression profiles, protein domain structures, text mining of publications, phylogenetic profiles, phenotypic profiles, and protein-protein interaction. Protein function is a broad term: the roles of proteins range from catalysis of biochemical reactions to transport to signal transduction, and a single protein may play a role in multiple processes or cellular pathways.
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- enProtein function prediction methods are techniques that bioinformatics researchers use to assign biological or biochemical roles to proteins. These proteins are usually ones that are poorly studied or predicted based on genomic sequence data. These predictions are often driven by data-intensive computational procedures. Information may come from nucleic acid sequence homology, gene expression profiles, protein domain structures, text mining of publications, phylogenetic profiles, phenotypic profiles, and protein-protein interaction. Protein function is a broad term: the roles of proteins range from catalysis of biochemical reactions to transport to signal transduction, and a single protein may play a role in multiple processes or cellular pathways.
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- enProtein function prediction methods are techniques that bioinformatics researchers use to assign biological or biochemical roles to proteins. These proteins are usually ones that are poorly studied or predicted based on genomic sequence data. These predictions are often driven by data-intensive computational procedures. Information may come from nucleic acid sequence homology, gene expression profiles, protein domain structures, text mining of publications, phylogenetic profiles, phenotypic profiles, and protein-protein interaction. Protein function is a broad term: the roles of proteins range from catalysis of biochemical reactions to transport to signal transduction, and a single protein may play a role in multiple processes or cellular pathways. Generally, function can be thought of as, "anything that happens to or through a protein". The Gene Ontology Consortium provides a useful classification of functions, based on a dictionary of well-defined terms divided into three main categories of molecular function, biological process and cellular component. Researchers can query this database with a protein name or accession number to retrieve associated Gene Ontology (GO) terms or annotations based on computational or experimental evidence. While techniques such as microarray analysis, RNA interference, and the yeast two-hybrid system can be used to experimentally demonstrate the function of a protein, advances in sequencing technologies have made the rate at which proteins can be experimentally characterized much slower than the rate at which new sequences become available. Thus, the annotation of new sequences is mostly by prediction through computational methods, as these types of annotation can often be done quickly and for many genes or proteins at once. The first such methods inferred function based on homologous proteins with known functions (homology-based function prediction). The development of context-based and structure based methods have expanded what information can be predicted, and a combination of methods can now be used to get a picture of complete cellular pathways based on sequence data. The importance and prevalence of computational prediction of gene function is underlined by an analysis of 'evidence codes' used by the GO database: as of 2010, 98% of annotations were listed under the code IEA (inferred from electronic annotation) while only 0.6% were based on experimental evidence.
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- protein-function-predictions
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- Techniques
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- Protein function prediction
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- enProtein function prediction
- Link from a Wikipage to an external page
- supfam.org/SUPERFAMILY/dcGO
- web.archive.org/web/20150418160606/http:/www.rcsb.org/pdb/home/home.do
- visant.bu.edu/home2.htm
- raptorx.uchicago.edu/
- www.ebi.ac.uk/thornton-srv/databases/CSA/
- www.blast2go.com/
- github.com/PedroMTQ/mantis
- Link from a Wikipage to another Wikipage
- Accession number (bioinformatics)
- Active site
- Algorithms
- Amino acid
- Bioinformatics
- BioPIXIE
- Blast2GO
- Candidate gene
- Category:Bioinformatics
- Category:Protein methods
- DcGO
- E. coli
- Enzyme
- Ethanol
- Eukaryotic
- File:Alignment Abrin Ricin.png
- File:Computational solvent mapping of AMA1 using FTMAP.TIF
- File:Protein alignment.svg
- File:STRING network image.png
- File:Trp Operon organization across three different species of bacteria.png
- Functional genomics
- Galactokinase
- Gene expression
- Gene fusion
- GeneMANIA
- Gene Ontology Consortium
- Gene prediction
- Genome
- Homology (biology)
- Homology modeling
- Isopropanol
- Isopropyl alcohol
- Mary Jo Ondrechen
- Microarray
- Operon
- Paralogs
- Pfam
- Phylogenetic profiling
- Phylogenomics
- Prokaryotes
- PROSITE
- Protein Data Bank
- Protein domain
- Protein domains
- Protein–protein interaction prediction
- Proteins
- Protein structure
- Protein structure prediction
- Sequence homology
- Sequence similarity search
- Serine
- SignalP
- Signal transduction
- software for protein modeling and analysis
- STRING
- Structural genomics
- Subcellular localization
- Tertiary structure protein
- Text mining
- Threonine
- UniProt
- Vertex (graph theory)
- X-ray crystallography
- Yeast two-hybrid system
- SameAs
- 4teVV
- m.0ds6hqy
- Protein function prediction
- Q7251473
- Предсказание функции белка
- تنبؤ بوظيفة البروتين
- پیشبینی عملکرد پروتئین
- Subject
- Category:Bioinformatics
- Category:Protein methods
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- Wikipage page ID
- 29467449
- Wikipage revision ID
- 1085051587
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- Template:Main page
- Template:Protein methods
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