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Analysis of proteasome inhibition prediction using atom-based quadratic indices enhanced by machine learning classification techniques
ArticleAbstract: In this work the use of 2D atom-based quadratic indices is shown in the prediction of proteasome inhPalabras claves:Atom-based quadratic index, Classification and regression model, Machine learning, Proteasome inhibition, QSAR, ToMoCoMD-CARDD softwareAutores:Abad C., Garit J., Gerardo M. Casañola-Martin, Pérez-Giménez F., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopusNovel coumarin-based tyrosinase inhibitors discovered by OECD principles-validated QSAR approach from an enlarged, balanced database
ArticleAbstract: The present work is devoted to the development and application of a multi-agent Quantitative StructuPalabras claves:Atom-based bilinear index, coumarin, In silico identification, In vitro corroboration, linear discriminant analysis, OECD principle, QSAR model, ToMoCoMD-CARDD software, Tyrosinase inhibitorAutores:Abad C., Gerardo M. Casañola-Martin, Parmar V.S., Rescigno A., Saso L., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopusRetrained classification of tyrosinase inhibitors and "In Silico" potency estimation by using atom-type linear indices: A powerful tool for speed up the discovery of leads
Book PartAbstract: In this paper, the authors present an effort to increase the applicability domain (AD) by means of rPalabras claves:Autores:Abad C., García-Domenech R., Gerardo M. Casañola-Martin, Khan M.T.H., Rescigno A., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopus