Evidence map›Paper›PMID 42852653›Full record

ArticleeLife2026

The structural context of mutations in proteins predicts their effect on antibiotic resistance.

Anna G Green, Mahbuba Tasmin, Roger Vargas, Maha Reda Farhat

Abstract read
PubMed Publisher
In one paragraph

Article in eLife, 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

4 authors.

Anna G GreenDepartment of Biomedical Informatics, Harvard Medical School, Boston, United States.ORCID https://orcid.org/0000-0001-7548-3682
Mahbuba TasminManning College of Information and Computer Sciences, University of Massachusetts, Amherst, United States.ORCID https://orcid.org/0000-0003-1884-8838
Roger VargasDepartment of Biomedical Informatics, Harvard Medical School, Boston, United States.
Maha Reda FarhatDepartment of Biomedical Informatics, Harvard Medical School, Boston, United States.ORCID https://orcid.org/0000-0002-3871-5760

Funding

Integrating protein structure and genomic data to predict antibiotic resistance in Mycobacterium tuberculosisF32AI161793 · NIAID · HARVARD MEDICAL SCHOOL · PI GREEN, ANNA GUSTAFSON · 2021 to 2022
$139k
National Science Foundation Graduate Research Fellowship Program DGE1745303NIH HHS F32AI161793
6 · The paper itself

Abstract

In

Indexed as

Bacterial ProteinsDrug Resistance, BacterialMutationMycobacterium tuberculosisAnti-Bacterial AgentsProtein ConformationProteomeAnti-Bacterial AgentsBacterial ProteinsProteomeantibiotic resistanceevolutionary genomicsinfectious diseasemicrobiologyM. tuberculosismycobacterium tuberculosisprotein structure

Identifiers

PMID42852653

What OpenQuestion holds

Textmetadata
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.