Evidence map›Paper›PMID 34279221›Full record

ArticleeLife2021

Development of antibacterial compounds that constrain evolutionary pathways to resistance.

Yanmin Zhang, Sourav Chowdhury, João V Rodrigues, Eugene Shakhnovich

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Chaperonin recognition of protein dynamics drives drug resistance.bioRxiv : the preprint server for biology · 2026
    Article
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  10. Review
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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

4 authors at 1 institution in 2 countries.

Yanmin Zhang *School of Science, China Pharmaceutical University, Nanjing, China.ORCID 0000-0002-4075-7556
Sourav Chowdhury *Department of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.ORCID 0000-0002-1148-2995
João V RodriguesDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.ORCID 0000-0002-5605-656X
Eugene ShakhnovichDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, United States.ORCID 0000-0002-4769-2265
Harvard University · US

Funding

Study of Biological Evolution of Structure and Function in ProteinsR01GM068670 · NIGMS · HARVARD UNIVERSITY · PI SHAKHNOVICH, EUGENE I · 2004 to 2020
$7.0M
Biophysical foundations of evolutionary dynamicsR35GM139571 · NIGMS · HARVARD UNIVERSITY · PI SHAKHNOVICH, EUGENE I · 2021 to 2025
$3.9M
NIGMS NIH HHS R01 GM068670NIGMS NIH HHS R35 GM139571
6 · The paper itself

Abstract

Antibiotic resistance is a worldwide challenge. A potential approach to block resistance is to simultaneously inhibit WT and known escape variants of the target bacterial protein. Here, we applied an integrated computational and experimental approach to discover compounds that inhibit both WT and trimethoprim (TMP) resistant mutants of

Indexed as

Drug DevelopmentAnti-Bacterial AgentsBiochemical PhenomenaComputational BiologyDrug Resistance, MicrobialEscherichia coliEscherichia coli ProteinsInhibitory Concentration 50Molecular Docking SimulationMolecular Dynamics SimulationMutationProtein ConformationStaphylococcus aureusSystems BiologyTetrahydrofolate DehydrogenaseTrimethoprimAnti-Bacterial AgentsEscherichia coli ProteinsTetrahydrofolate DehydrogenaseTrimethoprimantibiotic resistancecomputational biologycomputational modellingdihydrofolate reductaseE. colievolution drugmolecular biophysicsstructural biologysystems biology

Identifiers

PMID34279221
PMCPMC8331180
OpenAlexW3183301495

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.