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Identification of natural compound inhibitors against PfDXR: A hybrid structure-based molecular modeling approach and molecular dynamics simulation studies
Authors:Anu Manhas  Dhaval Patel  Mohsin Y Lone  Prakash C Jha
Institution:1. School of Chemical Sciences, Central University of Gujarat, Gandhinagar, Gujarat, India;2. Department of Bioinformatics and Stśructural Biology, Indian Institute of Advanced Research, Gujarat, India;3. School of Chemical Sciences, Central University of Gujarat, Gandhinagar, Gujarat, India

Department of Chemistry, Indian Institute of Technology, Gandhinagar, Gujarat, India;4. Centre for Applied Chemistry, Central University of Gujarat, Gandhinagar, Gujarat, India

Abstract:In the present contribution, multicomplex-based pharmacophore studies were carried out on the structural proteome of Plasmodium falciparum 1-deoxy-D -xylulose-5-phosphate reductoisomerase. Among the constructed models, a representative model with complementary features, accountable for the inhibition was used as a primary filter for the screening of database molecules. Auxiliary evaluations of the screened molecules were performed via drug-likeness and molecular docking studies. Subsequently, the stability of the docked inhibitors was envisioned by molecular dynamics simulations, principle component analysis, and molecular mechanics-Poisson-Boltzmann surface area-based free binding energy calculations. The stability assessment of the hits was done by comparing with the reference (beta-substituted fosmidomycin analog, LC5) to prioritize more potent candidates. All the complexes showed stable dynamic behavior while three of them displayed higher binding free energy compared with the reference. The work resulted in the identification of the compounds with diverse scaffolds, which could be used as initial leads for the design of novel PfDXR inhibitors.
Keywords:molecular mechanics-Poisson Boltzmann surface area (MM-PBSA)  molecular docking  molecular dynamics simulation  multicomplex-based pharmacophore modeling  principle component analysis
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