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QSAR models for tyrosinase inhibitory activity description applying modern statistical classification techniques: A comparative study
Authors:Huong Le-Thi-Thu,Gerardo M. Casañ  ola-Martin,Yovani Marrero-Ponce,Amilkar Puris,Antonio Rescigno
Affiliation:
  • a Unit of Computer-Aided Molecular “Biosilico” Discovery and Bioinformatic Research (CAMD-BIR Unit), Faculty of Chemistry-Pharmacy, Central University of Las Villas, Santa Clara, 54830, Villa Clara, Cuba
  • b Bioinformatic Laboratory, Informatic Study Center, Faculty of Math, Physical and Computation, Central University of Las Villas, Santa Clara, 54830, Villa Clara, Cuba
  • c Departament de Bioquímica i Biologia Molecular, Universitat de València, E-46100 Burjassot, Spain
  • d Institut Universitari de Ciència Molecular, Universitat de València, Edifici d'Instituts de Paterna, Poligon la Coma s/n (detras de Canal Nou) P. O. Box 22085, E-46071 (València), Spain
  • e Artificial Intelligence Laboratory, Informatic Study Center, Faculty of Math, Physical and Computation, Central University of Las Villas, Santa Clara, 54830, Villa Clara, Cuba
  • f Sezione di Chimica Biologica, Dip. Scienze e Tecnologie Biomediche, Università di Cagliari, Cittadella Universitaria, 09042 Monserrato (CA), Italy
  • Abstract:
    Keywords:TOMOCOMD-CARDD Software   Atom-based quadratic indices   Modern statistical methods   Tyrosinase inhibitor   ROC curve   Multiple Comparison Procedures
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