Quantitative Structure-Activity Relationship of Tricyclic Carbapenems: Application of Artificial Intelligence Methods for Bioactivity Prediction

Croatica Chemica Acta

Lebez, Mira²  Šolmajer, Tom³  Župan, Jure¹ 

[1] Laboratory of Chemometrics, National Institute of Chemistry, Hajdrihova 19, P. O. Box 660, 1001 Ljubljana, Slovenia;Faculty of Chemistry and Chemical Technology; University of Ljubljana, Ljubljana, Slovenia;Laboratory of Molecular Modeling and NMR Spectroscopy, National Institute of Chemistry, Hajdrihova 19, P. O. Box 660, 1001 Ljubljana, Slovenia

关键词: QSAR;    tricyclic carbapenem derivatives;    antibiotic ac-tivity;    articial neural networks;    genetic algorithms;   

DOI  :  

学科分类：化学（综合）

来源: Croatica Chemica Acta

【 摘 要 】

Resistance to antibiotics in bacterial population has widened the interest of Scientific community for development of novel therapeutic compounds. Penicillins and cephalosporins which share the β-lactam structural moiety form the most...

【 授权许可】

Unknown