About: Pseudo amino acid composition

An Entity of Type: Chemical114806838, from Named Graph: http://dbpedia.org, within Data Space: dbpedia.org

Pseudo amino acid composition, or PseAAC, in molecular biology, was originally introduced by Kuo-Chen Chou in 2001 to represent protein samples for improving protein subcellular localization prediction and membrane protein type prediction. Like the vanilla amino acid composition (AAC) method, it characterizes the protein mainly using a matrix of amino-acid frequencies, which helps with dealing with proteins without significant sequential homology to other proteins. Compared to AAC, additional information are also included in the matrix to represent some local features, such as correlation between residues of a certain distance.When dealing the cases of PseAAC, the has been often used.

thumbnail
Property Value
dbo:abstract
  • Pseudo amino acid composition, or PseAAC, in molecular biology, was originally introduced by Kuo-Chen Chou in 2001 to represent protein samples for improving protein subcellular localization prediction and membrane protein type prediction. Like the vanilla amino acid composition (AAC) method, it characterizes the protein mainly using a matrix of amino-acid frequencies, which helps with dealing with proteins without significant sequential homology to other proteins. Compared to AAC, additional information are also included in the matrix to represent some local features, such as correlation between residues of a certain distance.When dealing the cases of PseAAC, the has been often used. (en)
dbo:thumbnail
dbo:wikiPageExternalLink
dbo:wikiPageID
  • 16499897 (xsd:integer)
dbo:wikiPageLength
  • 12360 (xsd:nonNegativeInteger)
dbo:wikiPageRevisionID
  • 1062263228 (xsd:integer)
dbo:wikiPageWikiLink
dbp:wikiPageUsesTemplate
dcterms:subject
rdf:type
rdfs:comment
  • Pseudo amino acid composition, or PseAAC, in molecular biology, was originally introduced by Kuo-Chen Chou in 2001 to represent protein samples for improving protein subcellular localization prediction and membrane protein type prediction. Like the vanilla amino acid composition (AAC) method, it characterizes the protein mainly using a matrix of amino-acid frequencies, which helps with dealing with proteins without significant sequential homology to other proteins. Compared to AAC, additional information are also included in the matrix to represent some local features, such as correlation between residues of a certain distance.When dealing the cases of PseAAC, the has been often used. (en)
rdfs:label
  • Pseudo amino acid composition (en)
owl:sameAs
prov:wasDerivedFrom
foaf:depiction
foaf:isPrimaryTopicOf
is dbo:wikiPageRedirects of
is dbo:wikiPageWikiLink of
is foaf:primaryTopic of
Powered by OpenLink Virtuoso    This material is Open Knowledge     W3C Semantic Web Technology     This material is Open Knowledge    Valid XHTML + RDFa
This content was extracted from Wikipedia and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License