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 |
| Tools |
