Evidence map›Paper›PMID 38744895›Full record

ArticleNature communications2024

Targeted protein degradation in mycobacteria uncovers antibacterial effects and potentiates antibiotic efficacy.

Harim I Won, Samuel Zinga, Olga Kandror, Tatos Akopian, Ian D Wolf, Jessica T P Schweber, Ernst W Schmid, Michael C Chao, Maya Waldor, Eric J Rubin and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Proteostasis-targeted antibacterial strategies.Journal of microbiology (Seoul, Korea) · 2026
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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

11 authors.

Harim I Won *Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0002-7182-8599
Samuel Zinga *Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0002-4633-8299
Olga KandrorDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
Tatos AkopianDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
Ian D WolfDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
Jessica T P SchweberDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
Ernst W SchmidDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Blavatnik Institute, Boston, MA, 02115, USA.
Michael C ChaoDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0003-3158-7337
Maya WaldorDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
Eric J RubinDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. erubin@hsph.harvard.edu.ORCID http://orcid.org/0000-0001-5120-962X
Junhao ZhuDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. zhujh@im.ac.cn.

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
UIC: In vitro In vivo Mtb PharmacologyU19AI142735 · NIAID · GLOBAL ALLIANCE FOR TB DRUG DEVELOPMENT · PI NUERMBERGER, ERIC L · 2019 to 2023
$28.5M
Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
Molecular, Cellular, and Developmental MechanismsT32GM145407 · NIGMS · HARVARD MEDICAL SCHOOL · PI David L. Van Vactor · 2022 to 2026
$5.2M
National Science Foundation (NSF) DGE1745303National Science Foundation (NSF) DGE2140743NIAID NIH HHS U19 AI142735NIGMS NIH HHS T32 GM007753NIGMS NIH HHS T32 GM144273NIGMS NIH HHS T32 GM145407U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) AI142735U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) 5T32GM145407U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) T32GM007753U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) T32GM144273
6 · The paper itself

Abstract

Proteolysis-targeting chimeras (PROTACs) represent a new therapeutic modality involving selectively directing disease-causing proteins for degradation through proteolytic systems. Our ability to exploit targeted protein degradation (TPD) for antibiotic development remains nascent due to our limited understanding of which bacterial proteins are amenable to a TPD strategy. Here, we use a genetic system to model chemically-induced proximity and degradation to screen essential proteins in Mycobacterium smegmatis (Msm), a model for the human pathogen M. tuberculosis (Mtb). By integrating experimental screening of 72 protein candidates and machine learning, we find that drug-induced proximity to the bacterial ClpC1P1P2 proteolytic complex leads to the degradation of many endogenous proteins, especially those with disordered termini. Additionally, TPD of essential Msm proteins inhibits bacterial growth and potentiates the effects of existing antimicrobial compounds. Together, our results provide biological principles to select and evaluate attractive targets for future Mtb PROTAC development, as both standalone antibiotics and potentiators of existing antibiotic efficacy.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsMycobacterium smegmatisMycobacterium tuberculosisProteolysisHumansMachine LearningMicrobial Sensitivity TestsAnti-Bacterial AgentsBacterial Proteins

Identifiers

PMID38744895
PMCPMC11094019

What OpenQuestion holds

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LicenceCC BY
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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.