TY  - JOUR
AU  - Kaur, Arvinpreet
AU  - Chopra, Mehak
AU  - Bhushan, Mahak
AU  - Gupta, Sonal
AU  - Kumari P, Hima
AU  - Sivagurunathan, Narmadhaa
AU  - Shukla, Nidhi
AU  - Rajagopal, Shalini
AU  - Bhalothia, Purva
AU  - Sharma, Purnima
AU  - Naravula, Jalaja
AU  - Suravajhala, Renuka
AU  - Gupta, Ayam
AU  - Abbasi, Bilal Ahmed
AU  - Goswami, Prittam
AU  - Singh, Harpreet
AU  - Narang, Rahul
AU  - Polavarapu, Rathnagiri
AU  - Medicherla, Krishna Mohan
AU  - Valadi, Jayaraman
AU  - Kumar S, Anil
AU  - Chaubey, Gyaneshwer
AU  - Singh, Keshav K
AU  - Bandapalli, Obul Reddy
AU  - Kavi Kishor, Polavarapu Bilhan
AU  - Suravajhala, Prashanth
TI  - The Omic Insights on Unfolding Saga of COVID-19.
JO  - Frontiers in immunology
VL  - 12
SN  - 1664-3224
CY  - Lausanne
PB  - Frontiers Media
M1  - DKFZ-2021-02578
SP  - 724914
PY  - 2021
AB  - The year 2019 has seen an emergence of the novel coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing coronavirus disease of 2019 (COVID-19). Since the onset of the pandemic, biological and interdisciplinary research is being carried out across the world at a rapid pace to beat the pandemic. There is an increased need to comprehensively understand various aspects of the virus from detection to treatment options including drugs and vaccines for effective global management of the disease. In this review, we summarize the salient findings pertaining to SARS-CoV-2 biology, including symptoms, hosts, epidemiology, SARS-CoV-2 genome, and its emerging variants, viral diagnostics, host-pathogen interactions, alternative antiviral strategies and application of machine learning heuristics and artificial intelligence for effective management of COVID-19 and future pandemics.
KW  - COVID-19 (Other)
KW  - ORFs (Other)
KW  - SARS-CoV-2 (Other)
KW  - co-morbidities (Other)
KW  - machine learning (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:34745097
C2  - pmc:PMC8564481
DO  - DOI:10.3389/fimmu.2021.724914
UR  - https://inrepo02.dkfz.de/record/177491
ER  -