Open AccessDeciphering SARS CoV-2-associated pathways from RNA sequencing data of COVID-19-infected A549 cells and potential therapeutics using in silico methods
Author(s) -
Peter Natesan Pushparaj,
Laila A. Damiati,
Iuliana Denetiu,
Sherin Bakhashab,
Muhammad Asif,
Abrar Hussain,
Sibtain Ahmed,
Mohammad Hamid Hamdard,
Mahmood Rasool
Publication year - 2022
Publication title -
medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.59
H-Index - 148
eISSN - 1536-5964
pISSN - 0025-7974
DOI - 10.1097/md.0000000000029554
Subject(s) - coronaviridae , in silico , coronavirus , medicine , stat2 , virology , biology , computational biology , signal transduction , gene , infectious disease (medical specialty) , disease , genetics , stat protein , covid-19 , stat3 , pathology