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Application of Artificial Intelligence in COVID-19 drug repurposing.
Diabetes Metab Syndr. 2020 Sep - Oct; 14(5):1027-1031.DM

Abstract

BACKGROUND AND AIM

COVID-19 outbreak has created havoc and a quick cure for the disease will be a therapeutic medicine that has usage history in patients to resolve the current pandemic. With technological advancements in Artificial Intelligence (AI) coupled with increased computational power, the AI-empowered drug repurposing can prove beneficial in the COVID-19 scenario.

METHODS

The recent literature is studied and analyzed from various sources such as Scopus, Google Scholar, PubMed, and IEEE Xplore databases. The search terms used are 'COVID-19', ' AI ', and 'Drug Repurposing'.

RESULTS

AI is implemented in the field design through the generation of the learning-prediction model and performs a quick virtual screening to accurately display the output. With a drug-repositioning strategy, AI can quickly detect drugs that can fight against emerging diseases such as COVID-19. This technology has the potential to improve the drug discovery, planning, treatment, and reported outcomes of the COVID-19 patient, being an evidence-based medical tool.

CONCLUSIONS

Thus, there are chances that the application of the AI approach in drug discovery is feasible. With prior usage experiences in patients, few of the old drugs, if shown active against SARS-CoV-2, can be readily applied to treat the COVID-19 patients. With the collaboration of AI with pharmacology, the efficiency of drug repurposing can improve significantly.

Authors+Show Affiliations

School of Applied Science, KIIT University, Bhubaneswar, Odisha, India.Samsi Rural Hospital Rutua-1, Malda, West Bengal, India.School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India.School of Applied Science, KIIT University, Bhubaneswar, Odisha, India. Electronic address: chandanamohanty@gmail.com.School of Electronics Engineering, KIIT University, Bhubaneswar, Odisha, India. Electronic address: swati.swayamsiddha@gmail.com.

Pub Type(s)

Journal Article
Review

Language

eng

PubMed ID

32634717

Citation

Mohanty, Sweta, et al. "Application of Artificial Intelligence in COVID-19 Drug Repurposing." Diabetes & Metabolic Syndrome, vol. 14, no. 5, 2020, pp. 1027-1031.
Mohanty S, Harun Ai Rashid M, Mridul M, et al. Application of Artificial Intelligence in COVID-19 drug repurposing. Diabetes Metab Syndr. 2020;14(5):1027-1031.
Mohanty, S., Harun Ai Rashid, M., Mridul, M., Mohanty, C., & Swayamsiddha, S. (2020). Application of Artificial Intelligence in COVID-19 drug repurposing. Diabetes & Metabolic Syndrome, 14(5), 1027-1031. https://doi.org/10.1016/j.dsx.2020.06.068
Mohanty S, et al. Application of Artificial Intelligence in COVID-19 Drug Repurposing. Diabetes Metab Syndr. 2020 Sep - Oct;14(5):1027-1031. PubMed PMID: 32634717.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Application of Artificial Intelligence in COVID-19 drug repurposing. AU - Mohanty,Sweta, AU - Harun Ai Rashid,Md, AU - Mridul,Mayank, AU - Mohanty,Chandana, AU - Swayamsiddha,Swati, Y1 - 2020/07/03/ PY - 2020/06/19/received PY - 2020/06/26/revised PY - 2020/06/29/accepted PY - 2020/7/8/pubmed PY - 2020/9/29/medline PY - 2020/7/8/entrez KW - Artificial intelligence KW - COVID-19 KW - Coronavirus KW - Deep learning KW - Drug repositioning KW - Drug repurposing KW - Machine learning SP - 1027 EP - 1031 JF - Diabetes & metabolic syndrome JO - Diabetes Metab Syndr VL - 14 IS - 5 N2 - BACKGROUND AND AIM: COVID-19 outbreak has created havoc and a quick cure for the disease will be a therapeutic medicine that has usage history in patients to resolve the current pandemic. With technological advancements in Artificial Intelligence (AI) coupled with increased computational power, the AI-empowered drug repurposing can prove beneficial in the COVID-19 scenario. METHODS: The recent literature is studied and analyzed from various sources such as Scopus, Google Scholar, PubMed, and IEEE Xplore databases. The search terms used are 'COVID-19', ' AI ', and 'Drug Repurposing'. RESULTS: AI is implemented in the field design through the generation of the learning-prediction model and performs a quick virtual screening to accurately display the output. With a drug-repositioning strategy, AI can quickly detect drugs that can fight against emerging diseases such as COVID-19. This technology has the potential to improve the drug discovery, planning, treatment, and reported outcomes of the COVID-19 patient, being an evidence-based medical tool. CONCLUSIONS: Thus, there are chances that the application of the AI approach in drug discovery is feasible. With prior usage experiences in patients, few of the old drugs, if shown active against SARS-CoV-2, can be readily applied to treat the COVID-19 patients. With the collaboration of AI with pharmacology, the efficiency of drug repurposing can improve significantly. SN - 1878-0334 UR - https://www.unboundmedicine.com/medline/citation/32634717/Application_of_Artificial_Intelligence_in_COVID_19_drug_repurposing_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1871-4021(20)30237-X DB - PRIME DP - Unbound Medicine ER -