COMSAT: Residue contact prediction of transmembrane proteins based on support vector machines and mixed integer linear programming.
about
Residue contacts predicted by evolutionary covariance extend the application of ab initio molecular replacement to larger and more challenging protein folds.ConEVA: a toolbox for comprehensive assessment of protein contacts.Applications of contact predictions to structural biologyMembrane protein contact and structure prediction using co-evolution in conjunction with machine learning.Improved protein structure reconstruction using secondary structures, contacts at higher distance thresholds, and non-contacts.Co-evolution techniques are reshaping the way we do structural bioinformatics.MemBrain-contact 2.0: A new two-stage machine learning model for the prediction enhancement of transmembrane protein residue contacts in the full chain.Folding Membrane Proteins by Deep Transfer Learning.
P2860
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P2860
COMSAT: Residue contact prediction of transmembrane proteins based on support vector machines and mixed integer linear programming.
description
2016 nî lūn-bûn
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2016 թուականի Յունուարին հրատարակուած գիտական յօդուած
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2016 թվականի հունվարին հրատարակված գիտական հոդված
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2016年の論文
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年学术文章
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2016年學術文章
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name
COMSAT: Residue contact predic ...... ed integer linear programming.
@ast
COMSAT: Residue contact predic ...... ed integer linear programming.
@en
type
label
COMSAT: Residue contact predic ...... ed integer linear programming.
@ast
COMSAT: Residue contact predic ...... ed integer linear programming.
@en
prefLabel
COMSAT: Residue contact predic ...... ed integer linear programming.
@ast
COMSAT: Residue contact predic ...... ed integer linear programming.
@en
P2093
P2860
P356
P1433
P1476
COMSAT: Residue contact predic ...... xed integer linear programming
@en
P2093
Huiling Zhang
Yanjie Wei
Zhendong Bei
P2860
P304
P356
10.1002/PROT.24979
P407
P577
2016-01-20T00:00:00Z