Cargando…
IFPTML Mapping of Drug Graphs with Protein and Chromosome Structural Networks vs. Pre-Clinical Assay Information for Discovery of Antimalarial Compounds
The parasite species of genus Plasmodium causes Malaria, which remains a major global health problem due to parasite resistance to available Antimalarial drugs and increasing treatment costs. Consequently, computational prediction of new Antimalarial compounds with novel targets in the proteome of P...
Autores principales: | Quevedo-Tumailli, Viviana, Ortega-Tenezaca, Bernabe, González-Díaz, Humberto |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657696/ https://www.ncbi.nlm.nih.gov/pubmed/34884870 http://dx.doi.org/10.3390/ijms222313066 |
Ejemplares similares
-
Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models
por: Urista, Diana V., et al.
Publicado: (2020) -
Prediction of Antileishmanial
Compounds: General Model,
Preparation, and Evaluation of 2-Acylpyrrole Derivatives
por: Santiago, Carlos, et al.
Publicado: (2022) -
Antimalarial Drug Resistance and Novel Targets for Antimalarial Drug Discovery
por: Shibeshi, Melkamu Adigo, et al.
Publicado: (2020) -
Antimalarial drug discovery: progress and approaches
por: Siqueira-Neto, Jair L, et al.
Publicado: (2023) -
Bilayer Effects of Antimalarial Compounds
por: Ramsey, Nicole B., et al.
Publicado: (2015)