Evidence map›Paper›PMID 41959119›Full record

ArticlebioRxiv : the preprint server for biology2026

Structural Basis of Serine Protease Inhibition by Antibodies from Biased Fab Phage-Display Libraries.

Kyle J Anderson, Melody S Lee, Natalia Sevillano, Gang Chen, Michael J Hornsby, Sachdev S Sidhu, Charles S Craik

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Kyle J AndersonBiophysics Graduate Program, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0003-2737-8129
Melody S LeeGraduate Group in Chemistry and Chemical Biology, University of California, San Francisco, CA 94158, USA.
Natalia SevillanoDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA.
Gang ChenBanting and Best Department of Medical Research, Terrence Donnelly Center for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada.
Michael J HornsbyDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA.
Sachdev S SidhuBanting and Best Department of Medical Research, Terrence Donnelly Center for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada.ORCID 0000-0001-7755-5918
Charles S CraikDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA.ORCID 0000-0001-7704-9185

Funding

Targeting Viroporins and Coronavirus M ProteinU19AI171110 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nevan J Krogan · 2022 to 2026
$103.4M
Project 3U54AI170792 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI John D Gross · 2022 to 2026
$35.7M
STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008284 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA · 1988 to 2022
$10.1M
NIAID NIH HHS U19 AI171110NIAID NIH HHS U54 AI170792NIGMS NIH HHS T32 GM008284
6 · The paper itself

Abstract

Biased Fab phage-display libraries were designed to determine whether inhibitory CDR H3 motifs from potent anti-matriptase antibodies could be transferred to target homologous serine proteases. Using reverse-binding and substrate-like H3 motifs from parental clones A11 and E2 as templates, six synthetic libraries with 10

Indexed as

AlphaFoldantibody engineeringphage displayprotease inhibitionstructure predictionΔΔG

Identifiers

PMID41959119
PMCPMC13060861

What OpenQuestion 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 OpenQuestion graph.