Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Role of Artificial Intelligence and Machine Learning in Bioinformatics: Drug Discovery and Drug Repurposing

Version 1 : Received: 13 May 2021 / Approved: 14 May 2021 / Online: 14 May 2021 (15:17:50 CEST)

How to cite: Quazi, S. Role of Artificial Intelligence and Machine Learning in Bioinformatics: Drug Discovery and Drug Repurposing. Preprints 2021, 2021050346 (doi: 10.20944/preprints202105.0346.v1). Quazi, S. Role of Artificial Intelligence and Machine Learning in Bioinformatics: Drug Discovery and Drug Repurposing. Preprints 2021, 2021050346 (doi: 10.20944/preprints202105.0346.v1).

Abstract

Artificial intelligence AI or machine learning has proven to be a potential activity in the health and biomedical sciences. Previous research it has found that AI can learn new data and transform it into the useful knowledge. In the field of pharmacology, the aim is to design more efficient and novel vaccines using this method which are also cost effective. The underlying fact is to predict the molecular mechanism and structure for increased likelihood of developing new drugs. Clinical, electronic and high resolution imaging datasets can be used as inputs to aid the drug development niche. Moreover, the use of comprehensive target activity has been performed for repurposing a drug molecule by extending target profiles of drugs which also include off targets with therapeutic potential providing a new indication.

Subject Areas

drug discovery; drug repurposing; bioinformatics; machine learning; artificial intelligence; biomedical discoveries etc.

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