Drug repurposing: Iron in the fire for older drugs.
Biomed Pharmacother
; 141: 111638, 2021 Sep.
Article
in English
| MEDLINE | ID: covidwho-1274168
ABSTRACT
Repositioning or "repurposing" of existing therapies for indications of alternative disease is an attractive approach that can generate lower costs and require a shorter approval time than developing a de novo drug. The development of experimental drugs is time-consuming, expensive, and limited to a fairly small number of targets. The incorporation of separate and complementary data should be used, as each type of data set exposes a specific feature of organism knowledge Drug repurposing opportunities are often focused on sporadic findings or on time-consuming pre-clinical drug tests which are often not guided by hypothesis. In comparison, repurposing in-silico drugs is a new, hypothesis-driven method that takes advantage of big-data use. Nonetheless, the widespread use of omics technology, enhanced data storage, data sense, machine learning algorithms, and computational modeling all give unparalleled knowledge of the methods of action of biological processes and drugs, providing wide availability, for both disease-related data and drug-related data. This review has taken an in-depth look at the current state, possibilities, and limitations of further progress in the field of drug repositioning.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Computer Simulation
/
Pharmaceutical Preparations
/
Drug Discovery
/
Drug Repositioning
/
Machine Learning
Type of study:
Prognostic study
Limits:
Animals
/
Humans
Language:
English
Journal:
Biomed Pharmacother
Year:
2021
Document Type:
Article
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