reference/16947721

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/16947721

Outgoing Links

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contentType	Journal Article\|Research Support, Non-U.S. Gov't
endingPage	1296
issn	0022-2836
issueIdentifier	4
pageRange	1279-1296
publicationName	Journal of Molecular Biology
startingPage	1279
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bibliographicCitation	Feng SH, Zhang WX, Yang J, Yang Y, Shen HB. Topology Prediction Improvement of α-helical Transmembrane Proteins Through Helix-tail Modeling and Multiscale Deep Learning Fusion. J Mol Biol. 2020 Feb 14;432(4):1279–96. doi: 10.1016/j.jmb.2019.12.007. PMID: 31870850.
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date	2020-02-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/31870850 https://doi.org/10.1016/j.jmb.2019.12.007
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language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Topology Prediction Improvement of α-helical Transmembrane Proteins Through Helix-tail Modeling and Multiscale Deep Learning Fusion
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Total number of triples: 38.