Molecular modeling, simulation and principal component analysis of binding of resveratrol and its analogues with DNA

• Published in: Journal of biomolecular structure & dynamics Vol. 38; no. 10; pp. 3087 - 3097
• Main Authors: Nair, Maya S, Shukla, Aishwarya
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis 02.07.2020
• Subjects: analogues; Autodock; molecular docking; molecular dynamics; Resveratrol; Autodock; analogues; molecular docking; molecular dynamics; Resveratrol
• ISSN: 0739-1102; 1538-0254; 1538-0254
• DOI: 10.1080/07391102.2019.1662849

Structure-based drug designing has become a significant subject of research, and several clinically promising DNA binding compounds were evolved using this technique. The interaction of an octamer DNA sequence d(CCAATTGG) 2 with a natural stilbene, resveratrol and its analogues have been studied using molecular docking method. Out of the ten compounds studied, seven compounds were found to bind to the minor groove of AATT segment of the sequence. Pterostilbene, a natural analogue of resveratrol, showed the lowest binding energy. Rhaponticin, a natural analogue of resveratrol and digalloylresveratrol, a synthetic ester of resveratrol bind to the major groove of the AATT segment while dihydroresveratrol binds to the minor groove of GC terminal base pair. ADMET (Absorption, distribution, metabolism, excretion and toxicity) study showed that all compounds obey Lipinski rule and are accepted as orally active drugs based on different physicochemical descriptors. Molecular dynamics simulations were performed for the complex with lowest binding energy and trajectory analysis were performed. Principal component analysis has been performed to underline the prominent motions in alone DNA and when it is bound to pterostilbene. Abbreviations ADMET Absorption, distribution, metabolism, excretion and toxicity DIG Digalloyl resveratrol DNA Deoxyribonucleic acid EL Electrostatic energy ENPOLAR Nonpolar solvation energy ESURF Surface area GB Generalized Born HBA Hydrogen bond acceptors HBD Hydrogen bond donors LGA Lamarckian genetic algorithm MD Molecular dynamics PB Poisson-Boltzmann PCA Principal component analysis PT Pterostilbene RMSD Root mean square deviation SA Simulated annealing TLX3 T-cell leukemia homeobox 3 VDW van der Waals Communicated by Ramaswamy H. Sarma