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September 12, 2025Sokoto Journal of Medical Laboratory ScienceOpen Access

Prediction of antimalarial target proteins in Plasmodium falciparum using network pharmacology approach

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Authors

OAOmobhude Fidelis AluefuaMTMuhammad Umar Tukur

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Overview

This analysis identifies key target proteins for antimalarial resistance in Plasmodium falciparum, suggesting new treatment strategies.

Key Points

  • High text-mining scores identified key target proteins for Plasmodium falciparum resistance, including PfCRT and PfMDR1.
  • A total of 8460 target proteins from the STRING database were analyzed to predict antimalarial targets, providing insights for treatment.
  • Using network pharmacology and Cytoscape, the study ranked target proteins based on their frequency in literature derived from PubMed.
  • Findings highlight essential proteins that may guide future research and development of antimalarial therapies.

Cite This Study

Aluefua et al. (2025) studied this question.

synapsesocial.com/papers/68d44b2231b076d99fa5428dhttps://doi.org/10.4314/sokjmls.v10i2.6
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Also Consider

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  1. 1Analysing the essential proteins set of Plasmodium falciparum PF3D7 for novel drug targets identification against malaria2021 · 27 citations
  2. 2Protein target similarity is positive predictor of in vitro antipathogenic activity: a drug repurposing strategy for Plasmodium falciparum2024 · 3 citations
  3. 3An Integrated Network Pharmacology and Molecular Modelling Study of Phytoconstituents Targeting Malaria2025
  4. 4The Global Landscape of Plasmodium falciparum Drug Resistance Markers, 2005–2025: A Systematic Review and Meta-Analysis2026
  5. 5Protein target similarity is positive predictor of in vitro antipathogenic activity: a drug repurposing strategy for Plasmodium falciparum2024