Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Potency and timing of antiviral therapy as determinants of duration of SARS-CoV-2 shedding and intensity of inflammatory response

23 Oct 2020

Abstract excerpt

To affect the COVID-19 pandemic, lifesaving antiviral therapies must be identified. The number of clinical trials that can be performed is limited. We developed mathematical models to project multiple therapeutic approaches. Our models recapitulate off-treatment viral dynamics and predict a three-phase immune response. Simulated treatment with remdesivir, selinexor, neutralizing antibodies, or cellular...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to COVID-19 Clinical Research Studies
Share to COVID-19 epidemiological studies
Share to SARS-CoV-2 and COVID-19 Research

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33097472
DOI: 10.1126/sciadv.abc7112

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 9 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Potency and timing of antiviral therapy as determinants of duration of SARS-CoV-2 shedding and intensity of inflammatory responsePMID 33097472Read ↗

A Quantitative Systems Pharmacology Model of the Pathophysiology and Treatment of COVID-19 Predicts Optimal Timing of Pharmacological InterventionsSemantic proximity Read ↗

Integrative Modeling of SARS-CoV-2 Infection Dynamics to Inform COVID-19 Vaccination StrategiesSemantic proximity Read ↗

COVID-19 virtual patient cohort suggests immune mechanisms driving disease outcomesSemantic proximity Read ↗

Systematic review and patient-level meta-analysis of SARS-CoV-2 viral dynamics to model response to antiviral therapiesSemantic proximity Read ↗

Host Factors Modulate Nirmatrelvir–Ritonavir Efficacy in COVID-19 Patients: A Viral Dynamics Modeling StudySemantic proximity Read ↗

COVID-19 virtual patient cohort reveals immune mechanisms driving disease outcomesSemantic proximity Read ↗

A unifying model to explain high nirmatrelvir therapeutic efficacy against SARS-CoV-2, despite low post-exposure prophylaxis efficacy and frequent viral reboundSemantic proximity Read ↗

Modelling SARS-CoV-2 Dynamics: Implications for TherapySemantic proximity Read ↗

A statistical immune correlates of protection model for predicting efficacy from neutralizing antibody titers to establish immunobridging of monoclonal antibodies for prevention of COVID-19Semantic proximity Read ↗

Determinants of passive antibody efficacy in SARS-CoV-2 infectionSemantic proximity Read ↗

From Infection to Immunity: Understanding the Response to SARS-CoV2 Through In-Silico ModelingSemantic proximity Read ↗

From infection to immunity: understanding the response to SARS-CoV2 through in-silico modelingSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.