Structure-based virtual screening approach reveals natural multi-target compounds for the development of antimalarial drugs to combat drug resistance.
Biswajit NaikNidhi GuptaPriya GodaraVarshita SrivastavaRajanish GiriRajanish GiriVijay Kumar PrajapatiKailash C PandeyDhaneswar PrustyPublished in: Journal of biomolecular structure & dynamics (2023)
Compared to the previous year, there has been an increase of nearly 2 million malaria cases in 2021. The emergence of drug-resistant strains of Plasmodium falciparum , the most deadly malaria parasite, has led to a decline in the effectiveness of existing antimalarial drugs. To address this problem, the present study aimed to identify natural compounds with the potential to inhibit multiple validated antimalarial drug targets. The natural compounds from the Natural Product Activity and Species Source (NPASS) database were screened against ten validated drug targets of Plasmodium falciparum using a structure-based molecular docking method. Twenty compounds, with targets ranging from three to five, were determined as the top hits. The molecular dynamics simulations of the top six complexes (NPC246162 in complex with Pf AdSS, Pf GDH, and Pf NMT; NPC271270 in complex with Pf CK, Pf GDH, and Pf dUTPase) confirmed their stable binding affinity in the dynamic environment. The Tanimoto coefficient and distance matrix score analysis show the structural divergence of all the hit compounds from known antimalarials, indicating minimum chances of cross-resistance. Thus, we propose further investigating these compounds in biochemical and parasite inhibition studies to reveal the real therapeutic potential. If found successful, these compounds may be a new avenue for future drug discovery efforts to combat existing antimalarial drug resistance.Communicated by Ramaswamy H. Sarma.
Keyphrases
- plasmodium falciparum
- molecular dynamics simulations
- molecular docking
- drug resistant
- multidrug resistant
- systematic review
- escherichia coli
- randomized controlled trial
- computed tomography
- genome wide
- magnetic resonance imaging
- dna methylation
- mass spectrometry
- binding protein
- acinetobacter baumannii
- drug induced
- transcription factor
- data analysis
- dna binding