Abstract
Background: Tubulin is the biochemical target for several clinically used anticancer drugs as it helps in the formation of mitotic spindle during mitosis stage of cell division. Many of the anti-cancer drugs are known to interact with tubulin and microtubules including some plant alkaloids, such as paclitaxel, etoposide and topotecan. In silico drug design of these molecules were performed prior to testing these drugs in vitro. In silico drug design of these anti-cancer drugs becomes a challenge due to the complex structure of target protein. This challenge was overcome by predicting the structure of the target protein (tubulin) by homology modeling.
Methods: In this study, computer aided drug designing approach was applied to predict the suitable docking site in target protein and the interaction of tubulin protein with paclitaxel, etoposide and topotecan was explored by molecular docking using Schrödinger software. Docking score and glide energy were determined with ligands to validate their anticancer properties.
Results: The results indicate that etoposide is the best drug for tubulin with a docking score of - 4.916 and glide energy of -46.470 kcal/mol compared to paclitaxel and topotecan.
Conclusion: The testing of these drugs in silico provides an alternate to in vitro testing of these molecules on cancer cell lines which is a time and cost intensive process. The in silico study of parameters, such as docking score and glide energy, will help pharmacists in developing new molecules as targets for cancers in a time and cost-effective manner.
Keywords: Structure based drug design, molecular docking, docking score, novel ligands, anti-cancer molecules, cancer.
Current Drug Discovery Technologies
Title:Structure Based Drug Design and Molecular Docking Studies of Anticancer Molecules Paclitaxel, Etoposide and Topotecan using Novel Ligands
Volume: 17 Issue: 2
Author(s): Manisha Yadav, Swasti Dhagat and Jujjavarapu S. Eswari*
Affiliation:
- Department of Biotechnology, National Institute of Technology, Raipur,India
Keywords: Structure based drug design, molecular docking, docking score, novel ligands, anti-cancer molecules, cancer.
Abstract:
Background: Tubulin is the biochemical target for several clinically used anticancer drugs as it helps in the formation of mitotic spindle during mitosis stage of cell division. Many of the anti-cancer drugs are known to interact with tubulin and microtubules including some plant alkaloids, such as paclitaxel, etoposide and topotecan. In silico drug design of these molecules were performed prior to testing these drugs in vitro. In silico drug design of these anti-cancer drugs becomes a challenge due to the complex structure of target protein. This challenge was overcome by predicting the structure of the target protein (tubulin) by homology modeling.
Methods: In this study, computer aided drug designing approach was applied to predict the suitable docking site in target protein and the interaction of tubulin protein with paclitaxel, etoposide and topotecan was explored by molecular docking using Schrödinger software. Docking score and glide energy were determined with ligands to validate their anticancer properties.
Results: The results indicate that etoposide is the best drug for tubulin with a docking score of - 4.916 and glide energy of -46.470 kcal/mol compared to paclitaxel and topotecan.
Conclusion: The testing of these drugs in silico provides an alternate to in vitro testing of these molecules on cancer cell lines which is a time and cost intensive process. The in silico study of parameters, such as docking score and glide energy, will help pharmacists in developing new molecules as targets for cancers in a time and cost-effective manner.
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Yadav Manisha , Dhagat Swasti and Eswari S. Jujjavarapu *, Structure Based Drug Design and Molecular Docking Studies of Anticancer Molecules Paclitaxel, Etoposide and Topotecan using Novel Ligands, Current Drug Discovery Technologies 2020; 17 (2) . https://dx.doi.org/10.2174/1570163816666190307102033
DOI https://dx.doi.org/10.2174/1570163816666190307102033 |
Print ISSN 1570-1638 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6220 |
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This thematic issue delves into the cutting-edge computational methodologies revolutionizing drug design. Emphasizing the integration of in silico techniques, this collection highlights advancements in some computational methods, as: molecular docking, molecular dynamics, QSAR (Quantitative Structure-Activity Relationship) and free energy calculations. These approaches enhance the efficiency of drug discovery, reduce costs, ...read more
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The special issue on "Emerging Frontiers in Disease Modelling: Data to Drug Discovery in Bioinformatics in Precision Medicine and Health Science" aims to explore the transformative role of bioinformatics in bridging the gap between extensive biological data and the development of targeted therapies. This issue will highlight cutting-edge research and ...read more
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The field of drug delivery therapeutics has undergone significant transformation with the emergence of innovative technologies designed to enhance therapeutic efficacy and patient outcomes. As traditional drug administration methods encounter limitations in terms of efficacy, safety, and patient compliance, novel drug delivery systems offer promising solutions to these challenges. Advancements ...read more

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