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AGTR2, One Possible Novel Key Gene for the Entry of SARS-CoV-2 Into Human Cells.
IEEE/ACM Trans Comput Biol Bioinform ; 18(4): 1230-1233, 2021.
Article in English | MEDLINE | ID: covidwho-695498
ABSTRACT
Recently, it was confirmed that ACE2 is the receptor of SARS-CoV-2, the pathogen causing the recent outbreak of severe pneumonia around the world. It is confused that ACE2 is widely expressed across a variety of organs and is expressed moderately but not highly in lung, which, however, is the major infected organ. Therefore, we hypothesized that there could be some other genes playing key roles in the entry of SARS-CoV-2 into human cells. Here we found that AGTR2 (angiotensin II receptor type 2), a G-protein coupled receptor, has interaction with ACE2 and is highly expressed in lung with a high tissue specificity. More importantly, simulation of 3D structure based protein-protein interaction reveals that AGTR2 shows a higher binding affinity with the Spike protein of SARS-CoV-2 than ACE2 (energy -8.2 vs. -5.1 [kcal/mol]). A number of compounds, biologics and traditional Chinese medicine that could decrease the expression level of AGTR2 were predicted. Finally, we suggest that AGTR2 could be a putative novel gene for the entry of SARS-CoV-2 into human cells, which could provide different insight for the research of SARS-CoV-2 proteins with their receptors.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Receptors, Virus / Receptor, Angiotensin, Type 2 / SARS-CoV-2 / COVID-19 Type of study: Prognostic study Topics: Traditional medicine Limits: Humans Language: English Journal: ACM Trans Comput Biol Bioinform Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Receptors, Virus / Receptor, Angiotensin, Type 2 / SARS-CoV-2 / COVID-19 Type of study: Prognostic study Topics: Traditional medicine Limits: Humans Language: English Journal: ACM Trans Comput Biol Bioinform Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article