http://rdf.ncbi.nlm.nih.gov/pubchem/reference/8160241

Outgoing Links

Predicate Object
contentType Journal Article
endingPage 9125
issn 1614-7499
0944-1344
issueIdentifier 9
pageRange 9114-9125
publicationName Environmental science and pollution research international
startingPage 9114
hasFundingAgency http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_487baf6554eb36bb22c6138d90a7c50f
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_1c0aa062611518a12552a116a65f748d
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_c58b8f098bb80fdeab2f5465eb269619
http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_7ae88100ecf50b03d1a9926d6373cde2
bibliographicCitation Zhang S, Wang N, Su L, Xu X, Li C, Qin W, Zhao Y. MOA-based linear and nonlinear QSAR models for predicting the toxicity of organic chemicals to Vibrio fischeri. Environmental Science and Pollution Research. 2020 Jan 08;27(9):9114–25. doi: 10.1007/s11356-019-06681-y.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_4f6c9f3f696e78808df3287e78c68a7b
http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-7601-1193
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_758a4590b5f9ad9fdf9a76aaa67664c7
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_977e8a9385010be9f4c9d60d63bc9887
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6f4d77e7eee154f18aff96fdf6ea1182
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_8d78ca59ecedf33f63c1363a6346c261
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_0afbddfa70ac35b7f2348c5872e6ab8c
date 2020-01-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.1007/s11356-019-06681-y
https://pubmed.ncbi.nlm.nih.gov/31916172
isPartOf http://rdf.ncbi.nlm.nih.gov/pubchem/journal/22074
https://portal.issn.org/resource/ISSN/1614-7499
https://portal.issn.org/resource/ISSN/0944-1344
language English
source https://www.crossref.org/
https://scigraph.springernature.com/
https://pubmed.ncbi.nlm.nih.gov/
title MOA-based linear and nonlinear QSAR models for predicting the toxicity of organic chemicals to Vibrio fischeri
discusses http://id.nlm.nih.gov/mesh/M0015401
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID947
http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID11449

Total number of triples: 34.