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Detalle de: Discrimination and selection of new potential antibacterial compounds using simple topological descriptors

Title Discrimination and selection of new potential antibacterial compounds using simple topological descriptors
Abstract

The aim of the work was to discriminate between antibacterial and non-antibacterial drugs by topological methods and to select new potential antibacterial agents from among new structures. The method used for antibacterial activity selection was a linear discriminant analysis (LDA). It is possible to obtain a QSAR interpretation of the information contained in the discriminant function. We make use of the pharmacological distribution diagrams (PDDs) as a visualizing technique for the identification and selection of new antibacterial agents.

Apa Reference Murcia-Soler, M., Pérez-Giménez, F., Garcı́a-March, F. J., Salabert-Salvador, M. T., Dı́az-Villanueva, W., & Medina-Casamayor, P. (2003). Discrimination and selection of new potential antibacterial compounds using simple topological descriptors. Journal of Molecular Graphics and Modelling, 21(5), 375–390. 10.1016/s1093-3263(02)00184-5
Doi 10.1016/S1093-3263(02)00184-5
Publication Date Mar 2003
Publication Type Article
Researcher Wladimiro Diaz Villanueva
Ontology Multivariate statistics, Drug Discovery and design
Research Groups Theory, Bioinformatics and Computation
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