Bayesian model of protein primary sequence for secondary structure prediction.
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DECIPHER: harnessing local sequence context to improve protein multiple sequence alignmentAvoiding Regions Symptomatic of Conformational and Functional Flexibility to Identify Antiviral Targets in Current and Future Coronaviruses.KScons: a Bayesian approach for protein residue contact prediction using the knob-socket model of protein tertiary structure.
P2860
Bayesian model of protein primary sequence for secondary structure prediction.
description
2014 nî lūn-bûn
@nan
2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Bayesian model of protein primary sequence for secondary structure prediction.
@ast
Bayesian model of protein primary sequence for secondary structure prediction.
@en
type
label
Bayesian model of protein primary sequence for secondary structure prediction.
@ast
Bayesian model of protein primary sequence for secondary structure prediction.
@en
prefLabel
Bayesian model of protein primary sequence for secondary structure prediction.
@ast
Bayesian model of protein primary sequence for secondary structure prediction.
@en
P2093
P2860
P1433
P1476
Bayesian model of protein primary sequence for secondary structure prediction.
@en
P2093
David B Dahl
Jerry W Tsai
P2860
P304
P356
10.1371/JOURNAL.PONE.0109832
P407
P577
2014-10-14T00:00:00Z