Improved contact predictions using the recognition of protein like contact patterns
about
All-atom 3D structure prediction of transmembrane β-barrel proteins from sequencesAccurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning ModelCustomised fragments libraries for protein structure prediction based on structural class annotations.CONFOLD: Residue-residue contact-guided ab initio protein folding.Accurate contact predictions using covariation techniques and machine learning.Protein contact prediction by integrating joint evolutionary coupling analysis and supervised learning.Combining Evolutionary Information and an Iterative Sampling Strategy for Accurate Protein Structure Prediction.COMSAT: Residue contact prediction of transmembrane proteins based on support vector machines and mixed integer linear programming.Protein Residue Contacts and Prediction MethodsAn algorithm to parse segment packing in predicted protein contact mapsResidue contacts predicted by evolutionary covariance extend the application of ab initio molecular replacement to larger and more challenging protein folds.Assessing Predicted Contacts for Building Protein Three-Dimensional Models.A large-scale comparative assessment of methods for residue-residue contact prediction.NeBcon: Protein contact map prediction using neural network training coupled with naïve Bayes classifiers.A deep learning framework for improving long-range residue-residue contact prediction using a hierarchical strategy.Applications of contact predictions to structural biologyMembrane protein contact and structure prediction using co-evolution in conjunction with machine learning.Redefining the structural motifs that determine RNA binding and RNA editing by pentatricopeptide repeat proteins in land plants.Direct-Coupling Analysis of nucleotide coevolution facilitates RNA secondary and tertiary structure prediction.Capturing coevolutionary signals inrepeat proteins.The Maximum Entropy Fallacy Redux?Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysis.EPSILON-CP: using deep learning to combine information from multiple sources for protein contact prediction.Enhancing interacting residue prediction with integrated contact matrix prediction in protein-protein interaction.Potential DNA binding and nuclease functions of ComEC domains characterized in silico.SVM-dependent pairwise HMM: an application to Protein pairwise alignments.Exploring the Sequence-based Prediction of Folding Initiation Sites in Proteins.An overview of comparative modelling and resources dedicated to large-scale modelling of genome sequences.Large-scale identification of coevolution signals across homo-oligomeric protein interfaces by direct coupling analysis.Predicting accurate contacts in thousands of Pfam domain families using PconsC3.Comparing co-evolution methods and their application to template-free protein structure prediction.R2C: improving ab initio residue contact map prediction using dynamic fusion strategy and Gaussian noise filter.New encouraging developments in contact prediction: Assessment of the CASP11 results.A Biologically-validated HCV E1E2 Heterodimer Structural Model.Codon-level information improves predictions of inter-residue contacts in proteins by correlated mutation analysis.Co-evolution techniques are reshaping the way we do structural bioinformatics.Observation selection bias in contact prediction and its implications for structural bioinformaticsImproving Protein Fold Recognition by Extracting Fold-specific Features from Predicted Residue-residue Contacts.3DCONS-DB: A Database of Position-Specific Scoring Matrices in Protein Structures.DNCON2: Improved protein contact prediction using two-level deep convolutional neural networks.
P2860
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P2860
Improved contact predictions using the recognition of protein like contact patterns
description
2014 nî lūn-bûn
@nan
2014 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի նոյեմբերին 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
Improved contact predictions using the recognition of protein like contact patterns
@ast
Improved contact predictions using the recognition of protein like contact patterns
@en
type
label
Improved contact predictions using the recognition of protein like contact patterns
@ast
Improved contact predictions using the recognition of protein like contact patterns
@en
prefLabel
Improved contact predictions using the recognition of protein like contact patterns
@ast
Improved contact predictions using the recognition of protein like contact patterns
@en
P2093
P2860
P1476
Improved contact predictions using the recognition of protein like contact patterns
@en
P2093
Arne Elofsson
Daniele Raimondi
Mirco Michel
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003889
P577
2014-11-06T00:00:00Z