Synthetic lethality-based prediction of anti-SARS-CoV-2 targets-Reference-Cited by-同舟云学术

Synthetic lethality-based prediction of anti-SARS-CoV-2 targets

Published:2022-05 Issue:5 Volume:25 Page:104311
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Pal Lipika R.^ORCID,Cheng Kuoyuan,Nair Nishanth Ulhas^ORCID,Martin-Sancho Laura^ORCID,Sinha Sanju,Pu Yuan,Riva Laura,Yin Xin^ORCID,Schischlik Fiorella,Lee Joo Sang,Chanda Sumit K.,Ruppin Eytan^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

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1. Valuable Contributions and Lessons Learned from Proteomics and Metabolomics Studies of COVID-19;Journal of Proteome Research;2024-08-19

2. Predicting host-based, synthetic lethal antiviral targets from omics data;NAR Molecular Medicine;2024-01-01

3. Predicting host-based, synthetic lethal antiviral targets from omics data;2023-08-16

4. Antitarget, Anti-SARS-CoV-2 Leads, Drugs, and the Drug Discovery–Genetics Alliance Perspective;Journal of Medicinal Chemistry;2023-03-01

5. Discovery of host-directed modulators of virus infection by probing the SARS-CoV-2–host protein–protein interaction network;Briefings in Bioinformatics;2022-10-27