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Research Articles

Identification of a novel binding mechanism of Quinoline based molecules with lactate dehydrogenase of Plasmodium falciparum

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Pages 348-356 | Received 10 Dec 2019, Accepted 23 Dec 2019, Published online: 20 Jan 2020
 

Abstract

The deadliest disease caused by the Plasmodium species is malaria. Among other species, the infection caused by Plasmodium falciparum (Pf) is life-threatening. The biological function and three-dimensional structure of PfLDH and human LDH are very similar. Any treatment aiming to inhibit the PfLDH can also affect the activity of human LDH. This study aims to identify molecules that show high selectivity for PfLDH without having a profound effect on the activity of human LDH. In this study, 30 in-house synthesized Quinolines based molecules were docked with both PfLDH and human LDH. Based on molecular docking results, molecules 3j, 4b, 4h, 4m were showed selectivity towards PfLDH. All the four molecules had better binding affinity, ligand efficiency, lipophilic ligand efficiency, and torsion than Chloroquine (referenced inhibitor). Further, molecular dynamics (MD) simulations and molecular mechanics Poisson Boltzmann surface area (MM-PBSA) calculations were carried out to validate the docking results and to compare the stability of selected complexes against the complex with Chloroquine. MD simulations showed stable dynamic behavior of all the selected molecules in comparison to Chloroquine. Finally, on the basis of MM-PBSA analysis, molecule 3j was revealed novel binding mechanism and was selected as the potent and selective inhibitor of PfLDH.

Communicated by Ramaswamy H. Sarma

Acknowledgements

We gratefully acknowledge to the Director, CSIR-Institute of Himalayan Bioresource Technology, Palampur for providing the facilities to carry out this work. RP gratefully acknowledges the Board of Research in Nuclear Sciences, Department of Atomic Energy, Mumbai, India for financial support vide letter No: 37(1)/14/26/2015/BRNS. The CSIR support in the form of projects MLP0201 for bioinformatics studies and HCP0007 for providing project fellowship is highly acknowledged. VB acknowledges the Department of Science and Technology, New Delhi, India for providing junior research fellowship SERB File No: ECR/2016/000031. This manuscript represents CSIR-IHBT communication no. 4490.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Rahul Singh

RP conceived of and designed the study. RP, RS, and VB analyzed and interpreted the data. RS, VB, and RP critically revised it for important intellectual content. All authors gave final approval of the version to be published.

Vijay Bhardwaj

RP conceived of and designed the study. RP, RS, and VB analyzed and interpreted the data. RS, VB, and RP critically revised it for important intellectual content. All authors gave final approval of the version to be published.

Rituraj Purohit

RP conceived of and designed the study. RP, RS, and VB analyzed and interpreted the data. RS, VB, and RP critically revised it for important intellectual content. All authors gave final approval of the version to be published.

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