SARS-CoV-2-induced phosphorylation and its pharmacotherapy backed by artificial intelligence and machine learning-Reference-Cited by-同舟云学术

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SARS-CoV-2-induced phosphorylation and its pharmacotherapy backed by artificial intelligence and machine learning

Published:2020-09-24 Issue:1 Volume:10 Page:
ISSN:2056-5623
Container-title:Future Science OA
language:en
Short-container-title:Future Science OA

Author:

Qamar Fouzia¹,Sharif Zubair²,Idrees Jawaria³,Wasim Asif⁴,Haider Sana⁴,Salman Saad⁴^ORCID

Affiliation:

1. Department of Biology, Lahore Garrison University, Lahore-54000, Punjab, Pakistan

2. Faculty of Medical Laboratory Sciences, Superior University, Lahore-54000, Punjab, Pakistan

3. Khyber Pakhtunkhwa Education Monitoring Authority, Khyber-Pakhtunkhwa, Peshawar-25000, Pakistan

4. Department of Pharmacy, CECOS University of IT & Emerging Sciences, Peshawar-25000, Khyber Pakhtunkhwa, Peshawar, Pakistan

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.2144/fsoa-2023-0112

Reference55 articles.

1. The biological and clinical significance of emerging SARS-CoV-2 variants

2. Genomic characterization of SARS-CoV-2 and its association with clinical outcomes: a 1-year longitudinal study of the pandemic in Colombia

3. SARS-CoV-2 Infection Triggers Phosphorylation: Potential Target for Anti-COVID-19 Therapeutics

4. The Global Phosphorylation Landscape of SARS-CoV-2 Infection

5. STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

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