ArticleFrontiers in chemistry2019
Integrative Multi-Kinase Approach for the Identification of Potent Antiplasmodial Hits.
Article in Frontiers in chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Towards next-generation treatment options to combat Plasmodium falciparum malaria.Nature reviews. Microbiology · 2025Review
- Article
- Structure-based virtual screening against multiple Plasmodium falciparum kinases reveals antimalarial compounds.Molecular diversity · 2024Article
- Molecular Descriptors Property Prediction Using Transformer-Based Approach.International journal of molecular sciences · 2023Article
- Roles of Virtual Screening and Molecular Dynamics Simulations in Discovering and Understanding Antimalarial Drugs.International journal of molecular sciences · 2023Review
- QSAR-Based Virtual Screening of Natural Products Database for Identification of Potent Antimalarial Hits.Biomolecules · 2021Article
- CDPKs: The critical decoders of calcium signal at various stages of malaria parasite development.Computational and structural biotechnology journal · 2021Review
- Use of Artificial Intelligence and Machine Learning for Discovery of Drugs for Neglected Tropical Diseases.Frontiers in chemistry · 2021Review
- QSAR Modeling for Multi-Target Drug Discovery: Designing Simultaneous Inhibitors of Proteins in Diverse Pathogenic Parasites.Frontiers in chemistry · 2021Article
- An Update on Development of Small-Molecule Plasmodial Kinase Inhibitors.Molecules (Basel, Switzerland) · 2020Review
- β-Carboline Derivatives Tackling Malaria: Biological Evaluation and Docking Analysis.ACS omega · 2020Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malaria is a tropical infectious disease that affects over 219 million people worldwide. Due to the constant emergence of parasitic resistance to the current antimalarial drugs, the discovery of new antimalarial drugs is a global health priority. Multi-target drug discovery is a promising and innovative strategy for drug discovery and it is currently regarded as one of the best strategies to face drug resistance. Aiming to identify new multi-target antimalarial drug candidates, we developed an integrative computational approach to select multi-kinase inhibitors for
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Registered trials
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