Evidence map›Paper›PMID 42368000›Full record

ArticlebioRxiv : the preprint server for biology2026

Induced alanine auxotrophy as a therapeutic strategy against

Menna-Allah W Shalaby, Nagabhushana C Beeralingappa, Annadka Shrinidhi, Gaelle Guiewi Makafe, Evan Nece, Aditya Patwardhan, Timothy Low-Beer, Atsuo Kuki, Felix Sheinerman, Brian Weinrick and 2 more

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

12 authors.

Menna-Allah W ShalabyBorch Department of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, West Lafayette, Indiana 47907, United States.
Nagabhushana C BeeralingappaBorch Department of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, West Lafayette, Indiana 47907, United States.
Annadka ShrinidhiBorch Department of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, West Lafayette, Indiana 47907, United States.
Gaelle Guiewi MakafeTrudeau Institute, Saranac Lake, NY, USA.
Evan NeceTrudeau Institute, Saranac Lake, NY, USA.
Aditya PatwardhanTrudeau Institute, Saranac Lake, NY, USA.
Timothy Low-BeerTrudeau Institute, Saranac Lake, NY, USA.
Atsuo KukiTrudeau Institute, Saranac Lake, NY, USA.
Felix SheinermanTrudeau Institute, Saranac Lake, NY, USA.
Brian WeinrickTrudeau Institute, Saranac Lake, NY, USA.ORCID 0000-0003-0880-4487
Daniel P FlahertyBorch Department of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0002-8305-0606
Michaelle ChojnackiTrudeau Institute, Saranac Lake, NY, USA.ORCID 0000-0003-0245-9918

Funding

Inhibitors of adaptive efflux mediated resistance in Acinetobacter baumanniiR01AI175024 · NIAID · UNIVERSITY OF ROCHESTER · PI Paul M. Dunman, Daniel Patrick Flaherty · 2023 to 2026
$2.8M
Optimization of Antitubercular Compounds Against a Novel Mycobacterium tuberculosis target, AspCR01AI195815 · NIAID · TRUDEAU INSTITUTE, INC. · PI Michaelle Chojnacki · 2026 to 2026
$921k
NIAID NIH HHS R01 AI175024NIAID NIH HHS R01 AI195815
6 · The paper itself

Abstract

New antitubercular agents acting through previously unexploited mechanisms are urgently needed. Using a drug-repurposing platform, we identified TI-374, a hydroxamic acid containing compound that inhibits

Identifiers

PMID42368000
PMCPMC13308022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.