Chemoinformatics in multi-target drug discovery for anti-cancer therapy: In silico design of potent and versatile anti-brain tumor agents

Anti-Cancer Agents in Medicinal Chemistry

Volumn 12, Issue 6, 2012, Pages 678-685

  Speck Planche, Alejandro ^a   Kleandrova, Valeria V ^b   Luan, Feng ^a   Cordeiro, M Natália D S ^a  

^a UNIVERSITY OF PORTO   (Portugal)

^b MOSCOW STATE UNIVERSITY OF FOOD PRODUCTION   (Russian Federation)

Author keywords

Anti BT activity; Atom centered fragments; Brain tumor; BT cell lines; Chemoinformatics; Drug receptor interactions; Fragment; Functional group counts; Linear additivity; Linear discriminant analysis; Multi target QSAR; Quantitative contributions; ROC curve; Spectral moments; Substructural alerts

Indexed keywords

ANTINEOPLASTIC AGENT;

ANTINEOPLASTIC ACTIVITY; ARTICLE; BRAIN TUMOR; CANCER CELL CULTURE; CANCER CHEMOTHERAPY; COMPUTER MODEL; COMPUTER PREDICTION; CONTROLLED STUDY; DRUG INFORMATION; DRUG POTENCY; HUMAN; HUMAN CELL; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

EID: 84861668886     PISSN: 18715206     EISSN: 18755992     Source Type: Journal    
DOI: 10.2174/187152012800617722     Document Type: Article

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