Comparing global and local likelihood score thresholds in multiclass Laplacian-modified Naïve bayes protein target prediction

Combinatorial Chemistry and High Throughput Screening

Volumn 18, Issue 3, 2015, Pages 323-330

  Drakakis, Georgios ^a   Koutsoukas, Alexios ^a   Brewerton, Suzanne C ^b   Bodkin, Michael J ^b   Evans, David A ^b   Bender, Andreas ^a,c  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b ELI LILLY AND COMPANY   (United States)

^c EVOTEC UK LTD   (United Kingdom)

Author keywords

Cheminformatics; In silico bioactivity prediction; Likelihood score thresholds

Indexed keywords

CYTOCHROME; G PROTEIN COUPLED RECEPTOR; PROTEIN; PROTEIN KINASE; TRANSCRIPTION FACTOR; LIGAND; MOLECULAR LIBRARY;

ACCURACY; ALGORITHM; ARTICLE; BAYESIAN LEARNING; BIOLOGICAL ACTIVITY; CLASSIFICATION; COMPARATIVE STUDY; COMPUTER MODEL; HUMAN; LIGAND BINDING; MATHEMATICAL ANALYSIS; PRIORITY JOURNAL; PROTEIN FAMILY; PROTEIN PROTEIN INTERACTION; STATISTICAL MODEL; BAYES THEOREM; CHEMISTRY; METABOLISM; MOLECULAR LIBRARY; PHARMACOLOGY;

ALGORITHMS; BAYES THEOREM; HUMANS; LIGANDS; PROTEINS; SMALL MOLECULE LIBRARIES;

EID: 84931260960     PISSN: 13862073     EISSN: 18755402     Source Type: Journal    
DOI: 10.2174/1386207318666150305145012     Document Type: Article

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