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Evaluation of the effect of the chiral centers of Taxol on binding to β-tubulin: A docking and molecular dynamics simulation study

Paper ID Volume ID Publish Year Pages File Format Full-Text
15055 1370 2015 8 PDF Available
Title
Evaluation of the effect of the chiral centers of Taxol on binding to β-tubulin: A docking and molecular dynamics simulation study
Abstract

•Binding properties of Taxol derivatives with β-tubulin have been investigated.•Docking and MD simulation studies have been done.•MM-GBSA calculations have been carried out.•Two of the structures have better affinity toward the β-tubulin.•Three of the structures have affinity similar to that of the Taxol.

Taxol is one of the most important anti-cancer drugs. The interaction between different variants of Taxol, by altering one of its chiral centers at a time, with β-tubulin protein has been investigated. To achieve such goal, docking and molecular dynamics (MD) simulation studies have been performed. In docking studies, the preferred conformers have been selected to further study by MD method based on the binding energies reported by the AutoDock program. The best result of docking study which shows the highest affinity between ligand and protein has been used as the starting point of the MD simulations. All of the complexes have shown acceptable stability during the simulation process, based on the RMSDs of the backbone of the protein structure. Finally, MM-GBSA calculations have been carried out to select the best ligand, considering the binding energy criteria. The results predict that two of the structures have better affinity toward the mentioned protein, in comparison with Taxol. Three of the structures have affinity similar to that of the Taxol toward the β-tubulin.

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Keywords
Taxol; Paclitaxel; β-tubulin; Chiral centers; Molecular docking; Molecular dynamics (MD) simulation
First Page Preview
Evaluation of the effect of the chiral centers of Taxol on binding to β-tubulin: A docking and molecular dynamics simulation study
Publisher
Database: Elsevier - ScienceDirect
Journal: Computational Biology and Chemistry - Volume 56, June 2015, Pages 33–40
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering