Evidence map›Paper›PMID 41889747›Full record

ArticleJACS Au2026

Cryptic Binding Pockets in PDC‑3 β‑Lactamase Modulate Resistance Profiles.

Shuang Chen, Fedaa Attana, Andrea M Hujer, Christopher R Bethel, Magdalena A Taracila, Robert A Bonomo, Shozeb Haider

Abstract read
In one paragraph

Article in JACS Au, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Shuang ChenUCL School of Pharmacy, London WC1N 1AX, U.K.
Fedaa AttanaUCL School of Pharmacy, London WC1N 1AX, U.K.ORCID https://orcid.org/0009-0002-8296-709X
Andrea M HujerResearch Service, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, Ohio 44106-1702, United States.ORCID https://orcid.org/0009-0001-3543-1826
Christopher R BethelResearch Service, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, Ohio 44106-1702, United States.
Magdalena A TaracilaResearch Service, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, Ohio 44106-1702, United States.
Robert A BonomoResearch Service, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, Ohio 44106-1702, United States.ORCID https://orcid.org/0000-0002-3299-894X
Shozeb HaiderUCL School of Pharmacy, London WC1N 1AX, U.K.ORCID https://orcid.org/0000-0003-2650-2925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptic binding pockets in proteins can modulate catalysis, allostery, and druggability. Yet they are rarely captured by experiments or conventional molecular dynamics simulations. Here, we combine enhanced sampling with an unsupervised deep-learning pipeline to map the full conformational landscape of the Ω-loop in class C β-lactamase PDC-3. Three principal conformational ensembles were identified: a crystal-like state resembling the native structure, an expansive state characterized by widening of the active-site cleft, and a constricted state that blocks access to the catalytic site. Residues 219 and 221 act as molecular switches that shuffle the enzyme between these states and thereby modulate the resistance profiles. Steady-state inhibition assays with nitrocefin and bulky cephalosporins confirm that substitutions at these positions selectively reshaped the binding pocket. In addition, across multiple expansive states, D217 repeatedly forms a salt bridge with K67 in a geometry reminiscent of general base E166 of class A enzymes. Thus, it is plausible that D217 might transiently adopt a 'backup' general base role under certain conformational states. Most strikingly, occlusion of the catalytic site reveals a previously unseen cryptic pocket, offering an attractive allosteric target for inhibitors that would lock PDC-3 in a catalytically incompetent conformation. The integrated framework proposed in this study is highly generalizable and can serve as a powerful tool for identifying hidden protein conformations and uncovering previously inaccessible regulatory mechanisms.

Indexed as

antibiotic resistancecryptic pocketdeep learningmolecular dynamicsβ-lactamase

Identifiers

PMID41889747
PMCPMC13014224

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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.