reference/3797899

Predicate	Object
contentType	Journal Article
issn	1471-2105
issueIdentifier	1
pageRange	273-
publicationName	BMC Bioinformatics
startingPage	273
bibliographicCitation	Biswas AK, Noman N, Sikder AR. Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information. BMC Bioinformatics. 2010 May 21;11():273. PMID: 20492656; PMCID: PMC2887807.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_7e4a649b0d90924ac2ecfc9ce9eb560e http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_1b3cb2db00413ef232e050f1cbeeb2a6 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_b7c8b0cee6bb38ddb232ca80ddcb30d7
date	2010-05-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/20492656 https://pubmed.ncbi.nlm.nih.gov/PMC2887807 https://doi.org/10.1186/1471-2105-11-273
isPartOf	http://rdf.ncbi.nlm.nih.gov/pubchem/journal/21854 https://portal.issn.org/resource/ISSN/1471-2105
language	English
source	https://www.crossref.org/ https://scigraph.springernature.com/ https://pubmed.ncbi.nlm.nih.gov/
title	Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information
discusses	http://id.nlm.nih.gov/mesh/M0017869 http://id.nlm.nih.gov/mesh/M0017890

Predicate	Subject
isDiscussedBy	http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID127476202 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID128865459 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID127591104 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID128132375 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID128084797 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID128643942

Total number of triples: 29.