Evidence map›Paper›PMID 34519533›Full record

ArticlemSystems2021

Target Discovery for Host-Directed Antiviral Therapies: Application of Proteomics Approaches.

Merve Cakir, Kirsten Obernier, Antoine Forget, Nevan J Krogan

Abstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Merve CakirQuantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA.
Kirsten ObernierQuantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA.
Antoine ForgetQuantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA.
Nevan J KroganQuantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA.

Funding

SARS-CoV adaptations through a Systems Biology Lens (SYBIL)U19AI135972 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Adolfo Garcia-Sastre · 2018 to 2026
$27.2M
RESEARCH PROJECT 2U19AI135990 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Melanie Maria Ott · 2018 to 2026
$21.4M
X-ray Screening and Rapid Structure DeterminationP50AI150476 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EMERMAN, MICHAEL · 2019 to 2021
$14.4M
Novel VP30-host Interactions that Negatively Regulate Ebola Virus InfectionR01AI143292 · NIAID · WASHINGTON UNIVERSITY · PI AMARASINGHE, GAYA K., BASLER, CHRISTOPHER F · 2019 to 2023
$4.0M
NIAID NIH HHS P50 AI150476NIAID NIH HHS R01 AI143292NIAID NIH HHS U19 AI135972NIAID NIH HHS U19 AI135990
6 · The paper itself

Abstract

Current epidemics, such as AIDS or flu, and the emergence of new threatening pathogens, such as the one causing the current coronavirus disease 2019 (COVID-19) pandemic, represent major global health challenges. While vaccination is an important part of the arsenal to counter the spread of viral diseases, it presents limitations and needs to be complemented by efficient therapeutic solutions. Intricate knowledge of host-pathogen interactions is a powerful tool to identify host-dependent vulnerabilities that can be exploited to dampen viral replication. Such host-directed antiviral therapies are promising and are less prone to the development of drug-resistant viral strains. Here, we first describe proteomics-based strategies that allow the rapid characterization of host-pathogen interactions. We then discuss how such data can be exploited to help prioritize compounds with potential host-directed antiviral activity that can be tested in preclinical models.

Indexed as

drug repurposinghost-directed therapieshost-pathogen interactionsproteomicssystems biology

Identifiers

PMID34519533
PMCPMC8547474

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.