JOURNAL ARTICLE

Anticancer Drug Discovery By Structure-Based Repositioning Approach

Dharti H. ModhVithal M. Kulkarni

Year: 2023 Journal:   Mini-Reviews in Medicinal Chemistry Vol: 24 (1)Pages: 60-91   Publisher: Bentham Science Publishers

Abstract

Abstract: Despite the tremendous progress that has occurred in recent years in cell biology and oncology, in chemical, physical and computer sciences, the disease cancer has continued as the major cause of death globally. Research organizations, academic institutions and pharmaceutical companies invest huge amounts of money in the discovery and development of new anticancer drugs. Though much effort is continuing and whatever available approaches are being attempted, the success of bringing one effective drug into the market has been uncertain. To overcome problems associated with drug discovery, several approaches are being attempted. One such approach has been the use of known, approved and marketed drugs to screen these for new indications, which have gained considerable interest. This approach is known in different terms as “drug repositioning or drug repurposing.” Drug repositioning refers to the structure modification of the active molecule by synthesis, in vitro/ in vivo screening and in silico computational applications where macromolecular structure-based drug design (SBDD) is employed. In this perspective, we aimed to focus on the application of repositioning or repurposing of essential drug moieties present in drugs that are already used for the treatment of some diseases such as diabetes, human immunodeficiency virus (HIV) infection and inflammation as anticancer agents. This review thus covers the available literature where molecular modeling of drugs/enzyme inhibitors through SBDD is reported for antidiabetics, anti-HIV and inflammatory diseases, which are structurally modified and screened for anticancer activity using respective cell lines.

Keywords:
Drug repositioning Drug discovery Repurposing Drug In silico Human immunodeficiency virus (HIV) Virtual screening Drug development Anticancer drug Medicine Pharmacology Computational biology Bioinformatics Biology Virology

Metrics

2
Cited By
0.62
FWCI (Field Weighted Citation Impact)
87
Refs
0.64
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computational Drug Discovery Methods
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Click Chemistry and Applications
Physical Sciences →  Chemistry →  Organic Chemistry
Synthesis and biological activity
Physical Sciences →  Chemistry →  Organic Chemistry

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