Computational prediction of protein interfaces: A review of data driven methods

FEBS Letters

Volumn 589, Issue 23, 2015, Pages 3516-3526

  Xue, Li C ^a   Dobbs, Drena ^b   Bonvin, Alexandre M J J ^a   Honavar, Vasant ^c,d  

^a UTRECHT UNIVERSITY   (Netherlands)

^b IOWA STATE UNIVERSITY   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

^d PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Cross validation on instance level; Cross validation on protein level; Docking; Evaluation caveats; Machine learning; Partner specific interface prediction; Protein protein interaction

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BINDING AFFINITY; COMPLEX FORMATION; DEUTERIUM HYDROGEN EXCHANGE; MACHINE LEARNING; MOLECULAR DOCKING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PREDICTION; PRIORITY JOURNAL; PROTEIN BINDING; PROTEIN PROTEIN INTERACTION; PROTEIN STRUCTURE; REVIEW; SEQUENCE HOMOLOGY; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; X RAY CRYSTALLOGRAPHY; BIOLOGY; CHEMISTRY; ENZYME SPECIFICITY; METABOLISM; PROCEDURES;

PROTEIN; PROTEIN BINDING;

COMPUTATIONAL BIOLOGY; MOLECULAR DOCKING SIMULATION; PROTEIN BINDING; PROTEINS; SUBSTRATE SPECIFICITY;

EID: 84947269147     PISSN: 00145793     EISSN: 18733468     Source Type: Journal    
DOI: 10.1016/j.febslet.2015.10.003     Document Type: Review

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