Abstract

Background: The emergence of artemisinin resistance in South East Asia calls for urgent discovery of new drug compounds that have antiplasmodial activity. Unlike the classical compound screening drug discovery methods, the rational approach involving targeted drug discovery is less cumbersome and therefore key for innovation of new antiplasmodial compounds. Plasmodium falciparum (Pf) utilizes the process of host erythrocyte remodeling using Plasmodium-helical interspersed sub-telomeric domain (PHIST) containing proteins, which are amenable drug targets. The aim of this study is to identify inhibitors of PHIST from sulfated polysaccharides as new antimalarials. Methods: 251 samples from an ongoing study of epidemiology of malaria and drug resistance sensitivity patterns in Kenya were sequenced for PHISTb/RLP1 gene using Sanger sequencing. The sequenced reads were mapped to the reference Pf3D7 protein sequence of PHISTb/RLP1 using CLC Main Workbench. Homology modeling of both reference and mutant protein structures was achieved using the LOMETs tool. The models were refined using ModRefiner for energy minimization. Ramachandran plot was generated by ProCheck to assess the conformation of amino acids in the protein model. Protein binding sites predictions were assessed using FT SITE software. We searched for prospective antimalarials from PubChem. Docking experiments were achieved using AutoDock Vina and analysis results visualized in PyMOL. Results: Sanger sequencing generated 86 complete sequences. Upon mapping of the sequences to the reference, 12 non-synonymous single nucleotide polymorphisms were considered for mutant protein structure analysis. Eleven drug compounds with antiplasmodial activity were identified. Both modelled PHISTb/RLP1 reference and mutant structures had a Ramachandran score of >90% of the amino acids in the favored region. Ten of the drug compounds interacted with amino acid residues in PHISTb and RESA domains, showing potential activity against these proteins. Conclusion: These interactions provide lead compounds for new anti-malarial molecules. Further in vivo testing is recommended.

Highlights

  • African countries have 94% of malaria cases and the highest malaria-related death rates according to the 2019 World Health Organization (WHO) Malaria Report (WHO, 2019)

  • Diagnosis for Plasmodium genus and Plasmodium falciparum species detection A total of 175 out of 251 (70%) samples tested positive for Plasmodium parasite

  • Non-synonymous single nucleotide polymorphisms (SNPs) identified in the PHISTb/RLP1 sequenced data A total of 157 non-synonymous SNPs were observed across the full length of the protein sequences (485 amino acid in length)

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Summary

Introduction

African countries have 94% of malaria cases and the highest malaria-related death rates according to the 2019 World Health Organization (WHO) Malaria Report (WHO, 2019). Despite its prioritization in the Millennium Development Goals and other large scale global health initiatives, efforts and strategies to reduce the burden of malaria by 40% have stalled over the years due to different challenges (WHO, 2018) These challenges include emergence of Plasmodium falciparum resistance to firstline treatment, the lack of an efficacious vaccine, vector resistance to insecticides, the great diversity of malaria parasite, and insufficient funding towards the control of the disease. Modified heparin compounds and polysaccharide inhibitors were successfully profiled for activity against intracellular parasites (Boyle et al, 2017) These compounds have been identified in marine organisms and plants (Marques et al, 2016). The sequenced reads were mapped to the reference Pf3D7 protein sequence of PHISTb/RLP1 using CLC Main Workbench Homology modeling of both reference and mutant protein structures was achieved using the LOMETs tool. Docking experiments were achieved using AutoDock Vina and analysis results visualized in PyMOL

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