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Article

In silico dynamics of COVID-19 phenotypes for optimizing clinical management.

Proceedings of the National Academy of Sciences of the United States of America - 19 Jan 2021

Voutouri Chrysovalantis, Nikmaneshi Mohammad Reza, Hardin C Corey, Patel Ankit B, Verma Ashish, Khandekar Melin J, Dutta Sayon, Stylianopoulos Triantafyllos, Munn Lance L, Jain Rakesh K

Abstract excerpt

Understanding the underlying mechanisms of COVID-19 progression and the impact of various pharmaceutical interventions is crucial for the clinical management of the disease. We developed a comprehensive mathematical framework based on the known mechanisms of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, incorporating the renin-angiotensin system and ACE2, which the virus exploits for...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 33402434
DOI: 10.1073/pnas.2021642118
PMCID: PMC7826337

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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