Evidence map›Paper›PMID 41648343›Full record

ArticlebioRxiv : the preprint server for biology2026

A Clinically Silent Resistance Phenotype That Promotes

Muneer Yaqub, Namrata Bonde, Tuhina Maity, Ravali Arugonda, Zoe Du, Chinmai Rudra, Suman Tiwari, Roberto Jhonatan Olea-Ozuna, Sinjini Nandy, Joseph Boll and 2 more

Abstract readPreprint
PubMed Full text at PMC Publisher
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.

Muneer YaqubDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.ORCID 0009-0004-3038-5826
Namrata BondeDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Tuhina MaityDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Ravali ArugondaDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Zoe DuDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Chinmai RudraDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Suman TiwariDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Roberto Jhonatan Olea-OzunaDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Sinjini NandyDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Joseph BollDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Jonathan MonkDepartment of Bioengineering, University of California, San Diego, CA, USA.
Nicholas DillonDepartment of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA.

Funding

Mechanistic basis of how LD-transpeptidases protect against outer membranedefectsR01AI168159 · NIAID · UNIVERSITY OF TEXAS DALLAS · PI Joseph Michael Boll · 2022 to 2026
$2.3M
Reinforcing the barrier: Understanding how cell envelope modifications promote intrinsic antimicrobial tolerance and resistance in Acinetobacter baumanniiR35GM143053 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI BOLL, JOSEPH MICHAEL · 2021 to 2025
$1.9M
NIAID NIH HHS R01 AI168159NIGMS NIH HHS R35 GM143053
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Acinetobacter baumanniiantibiotic resistancecolistinmachine learningmurine pneumonia models

Identifiers

PMID41648343
PMCPMC12871642

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.