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Bioquímica(2)
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Hybrid Computational Framework Integrating Ensemble Learning, Molecular Docking, and Dynamics for Predicting Antimalarial Efficacy of Malaria Box Compounds
ArticleAbstract: The emergence of drug-resistant strains of Plasmodium falciparum continues to challenge global malarPalabras claves:Classification, drug design, ensemble, Machine Learning, MALARIA, molecular dynamics, predictive models, regressionAutores:Agüero-Chapin G., César R. García-Jacas, Edgar A. Márquez Brazon, José Luis Paz, Jose R. Mora, Martín L. Moreno, Noel Perez, Sebastian CuestaFuentes:scopusEmerging Computational Approaches for Antimicrobial Peptide Discovery
ReviewAbstract: In the last two decades many reports have addressed the application of artificial intelligence (AI)Palabras claves:Amps, Artificial intelligence, complex networks, Evolutionary algorithms, Machine Learning, Molecular descriptors, proteogenomicsAutores:Agüero-Chapin G., Antunes A., Deborah Galpert-Cañizares, Domínguez-Pérez D., Galpert-Cañizares D., Pérez-Machado G., Teijeira M., Yovani Marrero-PonceFuentes:googlescopusInnovative Alignment-Based Method for Antiviral Peptide Prediction
ArticleAbstract: Antiviral peptides (AVPs) represent a promising strategy for addressing the global challenges of virPalabras claves:antiviral peptide, antiviral peptide dataset, Machine Learning, multi-query similarity search, StarPep toolboxAutores:Agüero-Chapin G., Antunes A., Daniela de Llano García, Francesc J. Ferri, Hortensia Rodriguez Cabrera, Martinez-Rios F.O., Yovani Marrero-PonceFuentes:scopus