PPI_SVM: Prediction of protein-protein interactions using machine learning, domain-domain affinities and frequency tables

Cellular and Molecular Biology Letters

Volumn 16, Issue 2, 2011, Pages 264-278

  Chatterjee, Piyali ^a   Basu, Subhadip ^b   Kundu, Mahantapas ^b   Nasipuri, Mita ^b   Plewczynski, Dariusz ^c  

^a NETAJI SUBHASH ENGINEERING COLLEGE   (India)

^b JADAVPUR UNIVERSITY   (India)

^c UNIVERSITY OF WARSAW   (Poland)

Author keywords

Brainstorming; Consensus; DIP; Domain frequency values; Domaindomain interaction affinity value; Interactome; Machine learning; Protein domains; Protein protein complexes; Protein protein interaction; Proteome; Sequences; Structures

Indexed keywords

ACCESS TO INFORMATION; ACCURACY; AMINO ACID SEQUENCE; ARTICLE; BINDING AFFINITY; DATABASE OF INTERACTING PROTEINS; HIGH THROUGHPUT SCREENING; INTERNET; MACHINE LEARNING; PREDICTION; PROTEIN DATABASE; PROTEIN DOMAIN; PROTEIN PROTEIN INTERACTION; PROTEIN STRUCTURE; PROTEOMICS; QUALITY CONTROL; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; THREE DIMENSIONAL IMAGING;

EID: 79953742845     PISSN: 14258153     EISSN: 16891392     Source Type: Journal    
DOI: 10.2478/s11658-011-0008-x     Document Type: Article

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