Open AccessA novel QSAR model to predict epidermial growth factor inhibitors
Author(s) -
Riccardo Concu,
M. Natália D. S. Cordeiro
Publication year - 2018
Publication title -
proceedings of mol2net 2018, international conference on multidisciplinary sciences, 4th edition
Language(s) - Uncategorized
Resource type - Conference proceedings
DOI - 10.3390/mol2net-04-05261
Subject(s) - quantitative structure–activity relationship , egfr inhibitors , epidermal growth factor receptor , angiogenesis , cancer , computational biology , cancer research , bioinformatics , biology , medicine