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Repurposing Drugs Based on Evolutionary Relationships Between Targets of Approved Drugs and Proteins of Interest

Chakraborti, S and Ramakrishnan, G and Srinivasan, N (2019) Repurposing Drugs Based on Evolutionary Relationships Between Targets of Approved Drugs and Proteins of Interest. [Book Chapter]

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Official URL: https://doi.org/10.1007/978-1-4939-8955-3_3


Drug repurposing has garnered much interest as an effective method for drug development among biopharmaceutical companies. The availability of information on complete sequences of genomes and their associated biological data, genotype-phenotype-disease relationships, and properties of small molecules offers opportunities to explore the repurpose-able potential of existing pharmacopoeia. This method gains further importance, especially, in the context of development of drugs against infectious diseases, some of which pose serious complications due to emergence of drug-resistant pathogens. In this article, we describe computational means to achieve potential repurpose-able drug candidates that may be used against infectious diseases by exploring evolutionary relationships between established targets of FDA-approved drugs and proteins of pathogen of interest.

Item Type: Book Chapter
Publication: Methods in Molecular Biology
Publisher: Humana Press Inc.
Additional Information: The copyright for this article belongs to Humana Press Inc.
Keywords: ligand; protein, biology; chemistry; communicable disease; drug database; drug repositioning; evolution; genetics; human; Markov chain; metabolism; procedures; quantitative structure activity relation; software; workflow, Biological Evolution; Communicable Diseases; Computational Biology; Databases, Pharmaceutical; Drug Repositioning; Humans; Ligands; Markov Chains; Proteins; Quantitative Structure-Activity Relationship; Software; Workflow
Department/Centre: Division of Biological Sciences > Molecular Biophysics Unit
Division of Physical & Mathematical Sciences > Mathematics
Date Deposited: 15 Nov 2022 09:20
Last Modified: 15 Nov 2022 09:20
URI: https://eprints.iisc.ac.in/id/eprint/78029

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