Evidence map›Paper›PMID 40926121›Full record

ArticleThe EMBO journal2025

Host cell and viral protease targets of human SERPINs identified by in silico docking.

Joaquin Rodriguez Galvan, Maren de Vries, Shiraz Belblidia, Ashley Fisher, Rachel A Prescott, Keaton M Crosse, Patrick Hearing, Walter F Mangel, Ralf Duerr, Meike Dittmann

Abstract read
In one paragraph

Article in The EMBO journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Review
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

10 authors.

Joaquin Rodriguez GalvanNew York University Grossman School of Medicine, Microbiology Department, New York, NY, USA.
Maren de VriesNew York University Grossman School of Medicine, Microbiology Department, New York, NY, USA.ORCID http://orcid.org/0000-0003-1059-8344
Shiraz BelblidiaNew York University Grossman School of Medicine, Microbiology Department, New York, NY, USA.
Ashley FisherNew York University Grossman School of Medicine, Microbiology Department, New York, NY, USA.
Rachel A PrescottNew York University Grossman School of Medicine, Microbiology Department, New York, NY, USA.
Keaton M CrosseNew York University Grossman School of Medicine, Microbiology Department, New York, NY, USA.ORCID http://orcid.org/0000-0001-5000-7866
Patrick HearingStonybrook University, Renaissance School of Medicine, Stonybrook, NY, USA.ORCID http://orcid.org/0000-0003-0400-1660
Walter F MangelBrookhaven National Laboratory, Biology Department, Upton, NY, USA.ORCID http://orcid.org/0009-0009-3939-6413
Ralf DuerrNew York University Grossman School of Medicine, Microbiology Department, New York, NY, USA. Ralf.Duerr@nyulangone.org.ORCID http://orcid.org/0000-0001-9569-9237
Meike DittmannNew York University Grossman School of Medicine, Microbiology Department, New York, NY, USA. Meike.Dittmann@nyulangone.org.ORCID http://orcid.org/0000-0002-1741-7916

Funding

Training Program in Immunology and Inflammation.T32AI100853 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Susan Ruth Schwab · 2012 to 2026
$4.5M
ELF1 - Molecular mechanisms of a novel transcription factor with broad antiviral activityR01AI143639 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WEISER, JEFFREY NEAL · 2019 to 2023
$2.5M
SERPINs as a novel family of innate antiviral molecules - Resubmission - 1R21AI139374 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DITTMANN, MEIKE · 2019 to 2020
$466k
HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R01AI143639HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R21AI139374HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) T32AI100853NIAID NIH HHS R01 AI143639NIAID NIH HHS R21 AI139374NIAID NIH HHS T32 AI100853
6 · The paper itself

Abstract

Serine protease inhibitors (SERPINs) are involved in various physiological processes and diseases, such as inflammation, cancer metastasis, and neurodegeneration. Their role in viral infections is poorly understood, as their expression patterns during infection and the range of proteases they target have yet to be fully characterized. Here, we show widespread expression of human SERPINs in response to respiratory virus infections, both in bronchioalveolar lavages from COVID-19 patients and in polarized human airway epithelial cultures. Using in silico docking of 10 SERPINs to 48 host proteases, we confirm known targets and predict new interactions. Protease activity assays validated selected interactions, confirming the newly predicted host targets for PAI-1 (SERPINE1) and PAI-2 (SERPINB2). PAI-1 inhibits cathepsin L, essential for SARS-CoV-2 maturation, and suppresses multi-cycle replication of both ancestral SARS-CoV-2 WA-1 and its variant Omicron BA.1. In addition, we identify PAI-2 as an antiviral SERPIN that reduces infectivity of human adenovirus 5 by directly inhibiting the adenoviral protease. Our study leverages in silico docking using full-length 3D protein structures to uncover new SERPIN targets, offering a range of candidate targets for therapeutic interventions.

Indexed as

COVID-19Plasminogen Activator Inhibitor 2SARS-CoV-2SerpinsViral ProteasesCathepsin LHost-Pathogen InteractionsHumansMolecular Docking SimulationPlasminogen Activator Inhibitor 1Serpin E2Cathepsin LCTSL protein, humanPlasminogen Activator Inhibitor 1Plasminogen Activator Inhibitor 2SERPINE1 protein, humanSerpin E2SERPINE2 protein, humanSerpinsViral ProteasesAdenovirus ProteaseCathepsinPlasminogen Activator Inhibitor 1Plasminogen Activator Inhibitor 2TMPRSS

Identifiers

PMID40926121
PMCPMC12528359

What OpenQuestion holds

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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 OpenQuestion graph.