Prediction of interface residue based on features of residue interaction network extracted using shapley value centrality measure

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Unknown venue

• Publication date

  2018-03-28

• Fields of study

  Biology, Mathematics, Computer Science

• Identifiers
  DOI 10.7287/peerj.preprints.26785v1/supp-1
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Prediction of interface residue based on the features of residue interaction network.

  2017influential reference
• A Graph Approach to Mining Biological Patterns in the Binding Interfaces

  2017cited by this paper
• NAPS: Network Analysis of Protein Structures

  2016cited by this paper
• iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets

  2016cited by this paper
• Network Analysis of Protein Structures: The Comparison of Three Topologies

  2016cited by this paper
• Protein-protein interface prediction based on hexagon structure similarity

  2016cited by this paper
• Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests

  2016cited by this paper
• iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC.

  2015cited by this paper
• Progress and challenges in predicting protein interfaces

  2015influential reference
• Predicting the Effect of Mutations on Protein-Protein Binding Interactions through Structure-Based Interface Profiles

  2015influential reference
• Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor

  2014cited by this paper
• Template-based structure modeling of protein-protein interactions.

  2014cited by this paper
• Prediction of hot regions in protein-protein interactions based on complex network and community detection

  2013influential reference
• Protein-ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment

  2013cited by this paper
• Prescont: Predicting protein‐protein interfaces utilizing four residue properties

  2012cited by this paper
• PredUs: a web server for predicting protein interfaces using structural neighbors

  2011cited by this paper
• Prediction of protein-binding areas by small-world residue networks and application to docking

  2011influential reference
• Using graph theory to analyze biological networks

  2011cited by this paper
• Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information

  2010cited by this paper
• Efficient Computation of the Shapley Value for Centrality in Networks

  2010cited by this paper
• Chain

  2008cited by this paper
• Progress and challenges in predicting protein-protein interaction sites

  2008influential reference
• Determining the top-k nodes in social networks using the Shapley value

  2008cited by this paper
• Exploiting residue-level and profile-level interface propensities for usage in binding sites prediction of proteins

  2007cited by this paper
• Oligomeric protein structure networks: insights into protein-protein interactions

  2005cited by this paper
• Small‐world network approach to identify key residues in protein–protein interaction

  2004cited by this paper
• Analysing six types of protein-protein interfaces.

  2003cited by this paper
• Improved prediction of protein secondary structure by use of sequence profiles and neural networks.

  1993influential reference
• DNA conformation and protein binding.

  1989cited by this paper
• Structure of Myoglobin: A Three-Dimensional Fourier Synthesis at 2 Å. Resolution

  1960cited by this paper
• The structure of proteins; two hydrogen-bonded helical configurations of the polypeptide chain.

  1951cited by this paper

• No citing papers are available for this paper.