A novel non-stochastic quadratic fingerprints-based approach for the 'in silico' discovery of new antitrypanosomal compounds

Article

Abstract: A non-stochastic quadratic fingerprints-based approach is introduced to classify and design, in a ra

Palabras claves:

Antitrypanosomal compounds, Chagas' disease, LDA-based-QSAR-model, Non-stochastic quadratic indices, QSAR, TOMOCOMD software

Autores:

Arán V.J., García-Trevijano J.A.E., Gómez-Barrio A., Martínez-Fernández A.R., Meneses-Marcel A., Montero-Torres A., Rolón M.S., Vega M.C., Yovani Marrero-Ponce

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