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Role of Artificial Intelligence and Machine Learning in Drug Discovery and Drug Repurposing
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Author(s): Sameer Quazi (GenLab Biosolutions Private Limited, India)and Zarish Fatima (University College Lahore, Pakistan)
Copyright: 2023
Pages: 16
Source title:
Structural and Functional Aspects of Biocomputing Systems for Data Processing
Source Author(s)/Editor(s): U. Vignesh (Vellore Institute of Technology, Chennai, India), R. Parvathi (Vellore Institute of Technology, India)and Ricardo Goncalves (Department of Electrical and Computer Engineering (DEEC), NOVA School of Science and Technology, NOVA University Lisbon, Portugal)
DOI: 10.4018/978-1-6684-6523-3.ch009
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Abstract
Drug designing and repurposing is the most important field in the pharmaceutical industries and biomedical sciences. Because the challenges caused by drug such as low retention time, sensitivity can affect the efficacy of developmental process. As AI or ML has proven to be a potential activity in the health and biomedical sciences and from previous research it has found that AI can learn new data and transform it into the useful knowledge. So, in field of pharmacology, the aim is to design more efficient and novel vaccines using this method which is 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.
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