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Drug Repurposing: Targeting mTOR Inhibitors for Anticancer Activity

Published: 07 December 2017 Publication History

Abstract

In the search of safer and more effective drugs while reducing costs and increasing productivity of novel drug discovery, scientists are changing their focus to an approach known as drug repurposing. This involves finding a new therapeutic effect of an already existing drug. It is a method that can effectively be addressed in the drug discovery and development challenges of targeting different disorders. Many drugs which have failed clinical trials for not being effective in their intended therapeutic indication have also been repurposed which has been of great benefit for pharmaceutical industries. For instance, sildenafil failed its clinical trials and was repurposed and currently in use as a repurposed drug. Many methods are available for drug repurposing but in silico method is a cost effective and convenient method for drug repurposing which uses computer software to find a possible binding site of a drug within a protein. For its advantages, computational docking approach was used for the present drug repurposing study of mTOR protein, where the drugs chosen were metformin, aspirin and rosuvastatin. Autodock Vina and PyMOL was used to complete the study and it was found that aspirin and metformin have poor affinity (-5.8 kcal/mol) for this protein which is upregulated in various types of cancer such as breast cancer and ovarian cancer. On the other hand, rosuvastatin was found to have a high affinity (-7.8 kcal/mol in case of flexible docking and -10.2 kcal/mol in case of rigid docking) for mTOR and binds to the same binding pocket where the immunosuppressant and anticancer drug rapamycin binds. The study therefore indicates that rosuvastatin might have significant immunosuppressive and anticancer activity by downregulating the activity of mTOR and needs further studies to prove it.

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      cover image ACM Other conferences
      CSBio '17: Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics
      December 2017
      83 pages
      ISBN:9781450353502
      DOI:10.1145/3156346
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • SOICT: School of Information and Communication Technology - HUST
      • NAFOSTED: The National Foundation for Science and Technology Development
      • KMUTT: King Mongkut's University of Technology Thonburi

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      New York, NY, United States

      Publication History

      Published: 07 December 2017

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      Author Tags

      1. Cancer
      2. Drug Repurposing
      3. Molecular Docking
      4. mTOR

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      Cited By

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      • (2024)In silico approaches for drug repurposing in oncology: a scoping reviewFrontiers in Pharmacology10.3389/fphar.2024.140002915Online publication date: 11-Jun-2024
      • (2020)In-Silico Study for Potential Inhibitors of Both HSP72 and HSC70 Proteins in the Treatment of CancerCSBio '20: Proceedings of the Eleventh International Conference on Computational Systems-Biology and Bioinformatics10.1145/3429210.3429226(61-67)Online publication date: 19-Nov-2020
      • (2019)Scaffold of N-(2-(2-(tosylcarbamoyl)hydrazinyl)ethyl)isonicotinamidereveals anticancer effects through selective inhibition of FAPProceedings of the Tenth International Conference on Computational Systems-Biology and Bioinformatics10.1145/3365953.3365963(1-11)Online publication date: 4-Dec-2019
      • (2019)Characterization and Analysis of Mammalian AKR7A Gene Promoters: Implications for Transcriptional RegulationBiochemical Genetics10.1007/s10528-019-09936-yOnline publication date: 16-Sep-2019
      • (2018)Functional Analysis of iGlur Delta-2 and other Depression Associated ProteinsProceedings of the 9th International Conference on Computational Systems-Biology and Bioinformatics10.1145/3291757.3291765(1-10)Online publication date: 10-Dec-2018
      • (2018)Molecular Docking Reveals Pitavastatin and Related Molecules Antagonize 1DHF and Its Pseudogene DHFR2 in Cancer TreatmentProceedings of the 9th International Conference on Computational Systems-Biology and Bioinformatics10.1145/3291757.3291763(1-9)Online publication date: 10-Dec-2018

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