SCMMTP: identifying and characterizing membrane transport proteins using propensity scores of dipeptides.
about
Comprehensive analysis of the numbers, lengths and amino acid compositions of transmembrane helices in prokaryotic, eukaryotic and viral integral membrane proteins of high-resolution structure.Identification of apolipoprotein using feature selection technique.Modeling time-series data from microbial communities.Efflux proteins at the blood-brain barrier: review and bioinformatics analysis.GIW and InCoB, two premier bioinformatics conferences in Asia with a combined 40 years of history.
P2860
SCMMTP: identifying and characterizing membrane transport proteins using propensity scores of dipeptides.
description
2015 nî lūn-bûn
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2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
SCMMTP: identifying and charac ...... opensity scores of dipeptides.
@ast
SCMMTP: identifying and charac ...... opensity scores of dipeptides.
@en
type
label
SCMMTP: identifying and charac ...... opensity scores of dipeptides.
@ast
SCMMTP: identifying and charac ...... opensity scores of dipeptides.
@en
prefLabel
SCMMTP: identifying and charac ...... opensity scores of dipeptides.
@ast
SCMMTP: identifying and charac ...... opensity scores of dipeptides.
@en
P2093
P2860
P1433
P1476
SCMMTP: identifying and charac ...... opensity scores of dipeptides.
@en
P2093
Chia-Lun Yeh
Hui-Ling Huang
Li-Sun Shu
Phasit Charoenkwan
Shih-Hsiang Chiu
Shinn-Ying Ho
Tamara Vasylenko
Wei-Chun Lin
Yi-Fan Liou
P2860
P356
10.1186/1471-2164-16-S12-S6
P407
P478
16 Suppl 12
P577
2015-12-09T00:00:00Z