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Comparison of combinatorial clustering methods on pharmacological data sets represented by machine learning-selected real molecular descriptors
ArticleAbstract: Cluster algorithms play an important role in diversity related tasks of modern chemoinformatics, witPalabras claves:Autores:García-De La Vega J.M., Grau-Ábalo R.d.C., Rivera-Borroto O.M., Yovani Marrero-PonceFuentes:googlescopusAnabolic and androgenic activities of 19-nor-testosterone steroids: QSAR study using quantum and physicochemical molecular descriptors
ArticleAbstract: Quantitative structure-activity relationship (QSAR) study of 19-nor-testosterone steroids family wasPalabras claves:Anabolic activity, Androgenic activity, Physicochemical molecular descriptor, Quantitative Structure-Activity Relationship, Quantum molecular descriptor, Testosterone family and cluster analysisAutores:Alvarez-Ginarte Y.M., García-De La Vega J.M., Montero-Cabrera L.A., Noheda-Marin P., Ruíz-García J.A., Yovani Marrero-PonceFuentes:googlescopusNovel similarity measures for the effective and efficient retrieval of pharmacological datasets
ArticleAbstract: Similarity searching is an important facility in modern chemical information management systems to aPalabras claves:Machine learning descriptor selection, Medicinal chemistry datasets, Nearest neighbours, Similarity Measures, Similarity SearchAutores:Del Corazón Grau Ábalo R., Díaz Y.H., García-De La Vega J.M., Rivera-Borroto O.M., Yovani Marrero-PonceFuentes:googlescopus