Selected article for: "network analysis and target list"

Author: Braun, Maya; Sharon, Elad; Unterman, Irene; Miller, Maya; Shtern, Anna Mellul; Benenson, Shmuel; Vainstein, Alexander; Tabach, Yuval
Title: ACE2 co-evolutionary pattern suggests targets for pharmaceutical intervention in the COVID-19 pandemic
  • Cord-id: utf2d2kg
  • Document date: 2020_7_18
  • ID: utf2d2kg
    Snippet: Summary The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spillover infection in December 2019 has caused an unprecedented pandemic. SARS-CoV-2, as other coronaviruses, binds its target cells through the angiotensin-converting enzyme 2 (ACE2) receptor. Accordingly, this makes ACE2 research essential for understanding the zoonotic nature of coronaviruses and identifying novel drugs. Here we present a systematic analysis of the ACE2 conservation and co-evolution protein network acro
    Document: Summary The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spillover infection in December 2019 has caused an unprecedented pandemic. SARS-CoV-2, as other coronaviruses, binds its target cells through the angiotensin-converting enzyme 2 (ACE2) receptor. Accordingly, this makes ACE2 research essential for understanding the zoonotic nature of coronaviruses and identifying novel drugs. Here we present a systematic analysis of the ACE2 conservation and co-evolution protein network across 1671 eukaryotes, revealing an unexpected conservation pattern in specific metazoans, plants, fungi, and protists. We identified the co-evolved protein network and pinpointed a list of drugs that target this network by using data integration from different sources. Our computational analysis found widely used drugs such as nonsteroidal anti-inflammatory drugs and vasodilators. These drugs are expected to perturbate the ACE2 network affecting infectivity as well as the pathophysiology of the disease.

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