Feature selection and classification of protein-protein complexes based on their binding affinities using machine learning approaches.
about
PDBparam: Online Resource for Computing Structural Parameters of ProteinsPrediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes.Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein-Protein Complexes.Quantitative prediction of drug side effects based on drug-related features.Improving prediction of heterodimeric protein complexes using combination with pairwise kernel.
P2860
Feature selection and classification of protein-protein complexes based on their binding affinities using machine learning approaches.
description
2014 nî lūn-bûn
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2014年の論文
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name
Feature selection and classifi ...... g machine learning approaches.
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Feature selection and classifi ...... g machine learning approaches.
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type
label
Feature selection and classifi ...... g machine learning approaches.
@en
Feature selection and classifi ...... g machine learning approaches.
@nl
prefLabel
Feature selection and classifi ...... g machine learning approaches.
@en
Feature selection and classifi ...... g machine learning approaches.
@nl
P2860
P356
P1433
P1476
Feature selection and classifi ...... g machine learning approaches.
@en
P2093
K Yugandhar
P2860
P304
P356
10.1002/PROT.24564
P407
P577
2014-04-16T00:00:00Z