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Journal of cellular biochemistry · 2018

Molecular docking and simulation study for synthesis of alternative dapsone derivative as a newer antileprosy drug in multidrug therapy.

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Swain Shasank S, Paidesetty Sudhir K, Dehury Budheswar, Sahoo Jyotirmaya, Vedithi Sundeep Chaitanya, Mahapatra Namita, Hussain Tahziba, Padhy Rabindra N

Аннотация

Leprosy (causative, Mycobacterium leprae) continues to be the persisting public health problem with stable incidence rates, owing to the emergence of dapsone resistance that being the principal drug in the ongoing multidrug therapy. Hence, to overcome the drug resistance, structural modification through medicinal chemistry was used to design newer dapsone derivative(s) (DDs), against folic acid biosynthesis pathway. The approach included theoretical modeling, molecular docking, and molecular dynamic (MD) simulation as well as binding free energy estimation for validation of newly designed seven DDs, before synthesis. Theoretical modeling, docking, and MD simulation studies were used to understand the mode of binding and efficacy of DDs against the wild-type and mutant dihydropteroate synthases (DHPS). Principal component analysis was performed to understand the conformational dynamics of DHPS-DD complexes. Furthermore, the overall stability and negative-binding free energy of DHPS-DD complexes were deciphered using Molecular Mechanics/Poisson-Boltzmann Surface Area technique. Molecular mechanics study revealed that DD3 possesses higher binding free energy than dapsone against mutant DHPS. Energetic contribution analysis portrayed that van der Waals and electrostatic energy contributes profoundly to the overall negative free energy, whereas polar solvation energy opposes the binding. Finally, DD3 was synthesized and characterized using Fourier-transform infrared spectroscopy, UV, liquid chromatography-mass spectrometry, and proton nuclear magnetic resonance techniques. This study suggested that DD3 could be further promoted as newer antileprosy agent. The principles of medicinal chemistry and bioinformatics tools help to locate effective therapeutics to minimize resources and time in current drug development modules.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты