GPCRserver: an accurate and novel G protein-coupled receptor predictor.
about
DephosSite: a machine learning approach for discovering phosphotase-specific dephosphorylation sites.Expanding the horizons of G protein-coupled receptor structure-based ligand discovery and optimization using homology models.SOHPRED: a new bioinformatics tool for the characterization and prediction of human S-sulfenylation sites.Prediction of structural features and application to outer membrane protein identificationThe Topology Prediction of Membrane Proteins: A Web-Based Tutorial.Applying random forest and subtractive fuzzy c-means clustering techniques for the development of a novel G protein-coupled receptor discrimination method using pseudo amino acid compositions.
P2860
GPCRserver: an accurate and novel G protein-coupled receptor predictor.
description
2014 nî lūn-bûn
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2014年の論文
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2014年学术文章
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name
GPCRserver: an accurate and novel G protein-coupled receptor predictor.
@en
GPCRserver: an accurate and novel G protein-coupled receptor predictor.
@nl
type
label
GPCRserver: an accurate and novel G protein-coupled receptor predictor.
@en
GPCRserver: an accurate and novel G protein-coupled receptor predictor.
@nl
prefLabel
GPCRserver: an accurate and novel G protein-coupled receptor predictor.
@en
GPCRserver: an accurate and novel G protein-coupled receptor predictor.
@nl
P2093
P2860
P356
P1433
P1476
GPCRserver: an accurate and novel G protein-coupled receptor predictor.
@en
P2093
Lanqing Huang
Renxiang Yan
Weiwen Cai
Xiaofeng Wang
Ziding Zhang
P2860
P304
P356
10.1039/C4MB00272E
P577
2014-10-01T00:00:00Z