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Fiorella Schischlik

Government of the United States of America - Cancer Data Science Laboratory

9000 Rockville Pike

Bethesda, MD 20892

United States

  • Government of the United States of America - Cancer Data Science Laboratory

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Scholarly Papers (1)

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Synthetic Lethality-Based Prediction of Anti-SARS-CoV-2 Targets

Number of pages: 29 Posted: 20 Oct 2021
Lipika R. Pal, Kuoyuan Cheng, Nishanth Ulhas Nair, Laura Martin-Sancho, Sanju Sinha, Yuan Pu, Laura Riva, Xin Yin, Fiorella Schischlik, Joo Sang Lee, Summit K. Chanda and Eytan Ruppin
Government of the United States of America - Cancer Data Science Laboratory, Government of the United States of America - Cancer Data Science Laboratory, Government of the United States of America - Cancer Data Science Laboratory, Sanford Burnham Prebys Medical Discovery Institute - Immunity and Pathogenesis Program, Government of the United States of America - Cancer Data Science Laboratory, Sanford Burnham Prebys Medical Discovery Institute - Immunity and Pathogenesis Program, Sanford Burnham Prebys Medical Discovery Institute - Immunity and Pathogenesis Program, Sanford Burnham Prebys Medical Discovery Institute - Immunity and Pathogenesis Program, Government of the United States of America - Cancer Data Science Laboratory, Government of the United States of America - Cancer Data Science Laboratory, Sanford Burnham Prebys Medical Discovery Institute - Immunity and Pathogenesis Program and - Center for Bioinformatics and Computational Biology
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SARS-CoV-2, Covid-19, Synthetic lethality, siRNA screen, CRISPR-Cas9 screen, covid19 therapeutic target