Establishing Computational Approaches Towards Identifying Malarial Allosteric Modulators: A Case Study of Hsp70s.

Int J Mol Sci

Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Grahamstown 6140, South Africa.

Published: November 2019

AI Article Synopsis

  • Combating malaria is challenging due to the developing resistance of Plasmodium parasites to common drugs, notably artemisinin-based therapies, with fears of resistant strains spreading from Southeast Asia to Africa.
  • New strategies are needed, focusing on allosteric drug targeting and heat shock proteins (HSPs) as potential drug targets, though research on allosteric modulators is still limited.
  • This study identified promising allosteric modulators (SANC190 and SANC651) for Hsp70-1 and Hsp70-x, using advanced simulation techniques to analyze their effects on protein dynamics and identify key functional regions for drug design.

Article Abstract

Combating malaria is almost a never-ending battle, as Plasmodium parasites develop resistance to the drugs used against them, as observed recently in artemisinin-based combination therapies. The main concern now is if the resistant parasite strains spread from Southeast Asia to Africa, the continent hosting most malaria cases. To prevent catastrophic results, we need to find non-conventional approaches. Allosteric drug targeting sites and modulators might be a new hope for malarial treatments. Heat shock proteins (HSPs) are potential malarial drug targets and have complex allosteric control mechanisms. Yet, studies on designing allosteric modulators against them are limited. Here, we identified allosteric modulators (SANC190 and SANC651) against Hsp70-1 and Hsp70-x, affecting the conformational dynamics of the proteins, delicately balanced by the endogenous ligands. Previously, we established a pipeline to identify allosteric sites and modulators. This study also further investigated alternative approaches to speed up the process by comparing all atom molecular dynamics simulations and dynamic residue network analysis with the coarse-grained (CG) versions of the calculations. Betweenness centrality (BC) profiles for PfHsp70-1 and PfHsp70-x derived from CG simulations not only revealed similar trends but also pointed to the same functional regions and specific residues corresponding to BC profile peaks.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6887781PMC
http://dx.doi.org/10.3390/ijms20225574DOI Listing

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