Artificial Intelligence Based Drug Discovery Techniques for COVID-19 Detection
Keywords:Coronavirus, artificial intelligence, drug discovery and drug selection.
Recent advancements in the area of drug discovery using artificial intelligence made it possible to speed up the hunt for new pharmaceuticals. Drugs like arbidol, atazanavir, remdesivir & favipiravir are under testing phase to cure COVID-19. In this paper, we present systematic study of AI based drug discovery techniques suitable for COVID-19 detection.
 Dong, Liying, Shasha Hu, and Jianjun Gao. "Discovering drugs to treat coronavirus disease 2019 (COVID-19)." Drug Discoveries & Therapeutics 14.1 (2020): 58-60.
 Guidelines for the Prevention, Diagnosis, and Treatment of Novel Coronavirus-induced Pneumonia, The 6th ed. http:// www.nhc.gov.cn/yzygj/s7653p/202002/8334a8326dd94d329df351d7da8aefc2/files/b218cfeb1bc54639af227f9 22bf6b817.pdf (accessed March 23, 2020). (in Chinese).
 Álvarez-Machancoses, Óscar, and Juan Luis Fernández-Martínez. "Using artificial intelligence methods to speed up drug discovery." Expert opinion on drug discovery 14.8 (2019): 769-777.
 http://news.mit.edu/2020/artificial-intelligence-identifies-new-antibiotic-0220, Last visited: 31 March 2020.
 Emig, D. et al. (2013) Drug target prediction and repositioning using an integrated network-based approach. PLoS One 8, e60618
 Duch, W. et al. (2007) Artificial intelligence approaches for rational drug design and discovery. Curr. Pharm. Des. 13, 1497–1508.
 https://www.theguardian.com/world/2020/mar/31/coronavirus-vaccine-when-will-it-be-ready,Last visited 31 March 2020.
 https://deepmind.com/blog/article/AlphaFold-Using-AI-for-scientific-discovery, Last visited: 31 March 2020.
 https://deepmind.com/research/open-source/computational-predictions-of-protein-structures-associated-with-COVID-19, Last visited: 31 March 2020.
 https://www.microway.com/hpc-tech-tips/one-shot-learning-methods-applied-drug-discovery-deepchem/, Last visited: 1 April 2020.
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