Drug discovery through Covid-19 genome sequencing with siamese graph convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15270-8.pdf
Reference64 articles.
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2. Abdulrahman SA, Salem ABM (2020) A efficient deep belief network for Detection of Corona Virus Disease COVID-19. Fusion Pract, Appl
3. Acharya A, Agarwal R, Baker MB, Baudry J, Bhowmik D, Boehm S, Byler KG et al (2020) Supercomputer-based ensemble docking drug discovery pipeline with application to COVID-19. J Chem Inf Model 60(12):5832–5852
4. Alakus TB, Turkoglu I (2021) A Novel Protein Mapping Method for Predicting the Protein Interactions in COVID-19 Disease by Deep Learning. Interdiscip Sci: Comput Life Sci 13(1):44–60
5. Ali A, Zhu Y, Zakarya M (2021) A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing. Multimed Tools Appl 80(20):31401–31433
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