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Ifptml mapping of drug graphs with protein and chromosome structural networks vs. Pre‐clinical assay information for discovery of antimalarial compounds
ArticleAbstract: The parasite species of genus Plasmodium causes Malaria, which remains a major global health problemPalabras claves:Antimalarial compounds, CHEMBL, complex networks, Machine learning, NCBI‐GDV, perturbation theory, Plasmodium proteome, UniProtAutores:Bernabé Ortega-Tenezaca, González‐díaz H., Quevedo‐tumailli V.Fuentes:scopusPtml multi-label algorithms: Models, software, and applications
ReviewAbstract: By combining Machine Learning (ML) methods with Perturbation Theory (PT), it is possi-ble to developPalabras claves:Cheminformatics, Drug Discovery, Large data sets, Machine learning, Multi-target models, perturbation theory, PTMLAutores:Arrasate S., Bediaga H., Bernabé Ortega-Tenezaca, Collados J., González‐díaz H., Madariaga G., Munteanu C.R., Natalia Dias Soeiro Cordeiro M., Quevedo‐tumailli V.Fuentes:scopus