Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning.
about
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning ModelBlind testing of cross-linking/mass spectrometry hybrid methods in CASP11.Residue contacts predicted by evolutionary covariance extend the application of ab initio molecular replacement to larger and more challenging protein folds.A large-scale comparative assessment of methods for residue-residue contact prediction.Potts Hamiltonian models of protein co-variation, free energy landscapes, and evolutionary fitness.The evolution of logic circuits for the purpose of protein contact map predictionA deep learning framework for improving long-range residue-residue contact prediction using a hierarchical strategy.Applications of contact predictions to structural biologyCOUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator.CoinFold: a web server for protein contact prediction and contact-assisted protein foldingEnhancing interacting residue prediction with integrated contact matrix prediction in protein-protein interaction.Functional characterization of human equilibrative nucleoside transporter 1.AUCpreD: proteome-level protein disorder prediction by AUC-maximized deep convolutional neural fields.KScons: a Bayesian approach for protein residue contact prediction using the knob-socket model of protein tertiary structure.A Biologically-validated HCV E1E2 Heterodimer Structural Model.RRCRank: a fusion method using rank strategy for residue-residue contact predictionMemBrain-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.Analysis of deep learning methods for blind protein contact prediction in CASP12.Opportunities and obstacles for deep learning in biology and medicine.ComplexContact: a web server for inter-protein contact prediction using deep learning.
P2860
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P2860
Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning.
description
2015 nî lūn-bûn
@nan
2015 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
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
name
Protein contact prediction by ...... lysis and supervised learning.
@ast
Protein contact prediction by ...... lysis and supervised learning.
@en
type
label
Protein contact prediction by ...... lysis and supervised learning.
@ast
Protein contact prediction by ...... lysis and supervised learning.
@en
prefLabel
Protein contact prediction by ...... lysis and supervised learning.
@ast
Protein contact prediction by ...... lysis and supervised learning.
@en
P2093
P2860
P356
P1433
P1476
Protein contact prediction by ...... lysis and supervised learning.
@en
P2093
Jianzhu Ma
Sheng Wang
Zhiyong Wang
P2860
P304
P356
10.1093/BIOINFORMATICS/BTV472
P407
P577
2015-08-14T00:00:00Z