Protein contact prediction by joint evolutionary coupling analysis across multiple families

No abstract is available for this paper.

• Publication year

  2013

• Venue

  arXiv.org

• Publication date

  2013-12-10

• Fields of study

  Biology, Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Assessing the utility of coevolution-based residue–residue contact predictions in a sequence- and structure-rich era

  2013cited by this paper
• Predicting protein contact map using evolutionary and physical constraints by integer programming

  2013influential reference
• Protein structure alignment beyond spatial proximity

  2013cited by this paper
• PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments

  2012cited by this paper
• Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models.

  2012cited by this paper
• An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems

  2012cited by this paper
• Deep architectures for protein contact map prediction

  2012cited by this paper
• Protein 3D Structure Computed from Evolutionary Sequence Variation

  2011cited by this paper
• Is There an Optimal Substitution Matrix for Contact Prediction with Correlated Mutations?

  2011cited by this paper
• A multiple‐template approach to protein threading

  2011influential reference
• Learning generative models for protein fold families

  2011cited by this paper
• Disentangling Direct from Indirect Co-Evolution of Residues in Protein Alignments

  2010cited by this paper
• Identification of direct residue contacts in protein–protein interaction by message passing

  2009cited by this paper
• Graphical models of protein–protein interaction specificity from correlated mutations and interaction data

  2009cited by this paper
• NNcon: improved protein contact map prediction using 2D-recursive neural networks

  2009cited by this paper
• Protein Design by Sampling an Undirected Graphical Model of Residue Constraints

  2009cited by this paper
• Effects of dependence in high-dimensional multiple testing problems

  2008influential reference
• A comprehensive assessment of sequence-based and template-based methods for protein contact prediction

  2008cited by this paper
• Contact prediction using mutual information and neural nets

  2007cited by this paper
• M-Coffee: combining multiple sequence alignment methods with T-Coffee

  2006cited by this paper
• CONTRAlign: Discriminative Training for Protein Sequence Alignment

  2006influential reference
• Graphical models of residue coupling in protein families

  2005cited by this paper
• ASTRO-FOLD: a combinatorial and global optimization framework for Ab initio prediction of three-dimensional structures of proteins from the amino acid sequence.

  2003cited by this paper
• Multiplier and gradient methods

  1969cited by this paper

• Structure Learning Constrained by Node-Specific Degree Distribution

  2015cites this paper
• Fast pseudolikelihood maximization for direct-coupling analysis of protein structure from many homologous amino-acid sequences

  2014cites this paper