Evidence map›Paper›PMID 42282666›Full record

ArticlebioRxiv : the preprint server for biology2026

Chaperonin recognition of protein dynamics drives drug resistance.

Junlang Liu, Zhihui Qi, João V Rodrigues, Zhouyu Zhang, Qianxiang Xu, Abhinav Dubey, Harrison K Wang, Dongtao Cui, Zeyang Li, Fatima Aly 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.

Junlang LiuDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.ORCID 0009-0000-4106-2011
Zhihui QiDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
João V RodriguesDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Zhouyu ZhangDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Qianxiang XuDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Abhinav DubeyDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Harrison K WangDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0003-4275-9472
Dongtao CuiDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Zeyang LiDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Fatima AlyDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
Doeke R HekstraDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0003-2332-9223
Eugene I ShakhnovichDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-4769-2265

Funding

Biophysical foundations of evolutionary dynamicsR35GM139571 · NIGMS · HARVARD UNIVERSITY · PI SHAKHNOVICH, EUGENE I · 2021 to 2025
$3.9M
Identifying Principles of Protein Mechanics by Applying Force and Observing MotionDP2GM141000 · NIGMS · HARVARD UNIVERSITY · PI HEKSTRA, DOEKE ROMKE · 2020 to 2020
$2.4M
NIGMS NIH HHS DP2 GM141000NIGMS NIH HHS R35 GM139571
6 · The paper itself

Abstract

The emergence of drug resistance is typically driven by mutations that alter drug-target affinity, yet the role of host cellular machinery regulating these processes remains unclear. Here, we reveal that the chaperonin GroEL/S promotes drug resistance through recognition of protein dynamics. Using directed evolution of

Identifiers

PMID42282666
PMCPMC13251950

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Registered trials

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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.