Maximum common substructure-based Tversky index: an asymmetric hybrid similarity measure

Journal of Computer-Aided Molecular Design

Volumn 30, Issue 7, 2016, Pages 523-531

  Kunimoto, Ryo ^a   Vogt, Martin ^a   Bajorath, Jürgen ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

Hybrid measures; Maximum common substructure; Molecular similarity; Similarity metrics; Substructure methods; Tversky similarity

Indexed keywords

'CURRENT; DESCRIPTORS; HYBRID MEASURE; MAXIMUM COMMON SUBSTRUCTURE; MOLECULAR SIMILARITY; SIMILARITY MEASURE; SIMILARITY METRICS; SUBSTRUCTURE BASED METHOD; SUBSTRUCTURE METHOD; TVERSKY SIMILARITY;

ARTIFICIAL INTELLIGENCE;

KINESIN LIKE PROTEIN 1; PROTEIN; UNCLASSIFIED DRUG;

ARTICLE; CALCULATION; MAXIMUM COMMON SUBSTRUCTURE BASED TVERSKY INDEX; PRIORITY JOURNAL; REFERENCE VALUE; ALGORITHM; MOLECULAR MODEL; STRUCTURE ACTIVITY RELATION;

ALGORITHMS; MODELS, MOLECULAR; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84981507311     PISSN: 0920654X     EISSN: 15734951     Source Type: Journal    
DOI: 10.1007/s10822-016-9935-y     Document Type: Article

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