Documentos de Quevedo‐tumailli V. | REDI

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Mostrando 3 resultados de: 3

Subtipo de publicación

Publisher

Current Topics in Medicinal Chemistry(1)

International Journal of Molecular Sciences(1)

Journal of Proteome Research(1)

Área temáticas

Farmacología y terapéutica(1)

Funcionamiento de bibliotecas y archivos(1)

Medicina y salud(1)

Métodos informáticos especiales(1)

Área de conocimiento

Aprendizaje automático(1)

Biología molecular(1)

Farmacología(1)

Año de Publicación

Origen

Palabras Claves

Machine learning(3)

complex networks(2)

perturbation theory(2)

Antimalarial compounds(1)

Chromosome Gene Orientation Inversion Networks (GOINs) of Plasmodium Proteome

Abstract: The spatial distribution of genes in chromosomes seems not to be random. For instance, only 10% of g

Palabras claves:

chromosome microstructure, complex networks, gene orientation, Machine learning, MALARIA, Plasmodium sp. proteome

Bernabé Ortega-Tenezaca, González‐díaz H., Quevedo‐tumailli V.

Ifptml mapping of drug graphs with protein and chromosome structural networks vs. Pre‐clinical assay information for discovery of antimalarial compounds

Abstract: The parasite species of genus Plasmodium causes Malaria, which remains a major global health problem

Palabras claves:

Antimalarial compounds, CHEMBL, complex networks, Machine learning, NCBI‐GDV, perturbation theory, Plasmodium proteome, UniProt

Bernabé Ortega-Tenezaca, González‐díaz H., Quevedo‐tumailli V.

Ptml multi-label algorithms: Models, software, and applications

Abstract: By combining Machine Learning (ML) methods with Perturbation Theory (PT), it is possi-ble to develop

Palabras claves:

Cheminformatics, Drug Discovery, Large data sets, Machine learning, Multi-target models, perturbation theory, PTML

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.