Evidence map›Paper›PMID 40769174›Full record

ArticleJournal of the American Chemical Society2025

Multistate Structure Determination and Dynamics Analysis Reveals a Unique Ubiquitin-Recognition Mechanism in Ubiquitin C-terminal Hydrolase.

Mayu Okada, Yutaka Tateishi, Eri Nojiri, Tsutomu Mikawa, Sundaresan Rajesh, Hiroki Ogasa, Takumi Ueda, Hiromasa Yagi, Toshiyuki Kohno, Takanori Kigawa and 4 more

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Substrate biasing in UCHL5 proteoforms.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
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

14 authors.

Mayu OkadaDepartment of Chemistry, Graduate School of Science, Tokyo Metropolitan University, 1-1 minamiosawa, Hachioji, Tokyo 192-0397, Japan.
Yutaka TateishiDepartment of Chemistry, Graduate School of Science, Tokyo Metropolitan University, 1-1 minamiosawa, Hachioji, Tokyo 192-0397, Japan.
Eri NojiriInternational Graduate School of Arts and Sciences, Yokohama City University, 1-7-29 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan.
Tsutomu MikawaDepartment of Chemistry, Graduate School of Science, Tokyo Metropolitan University, 1-1 minamiosawa, Hachioji, Tokyo 192-0397, Japan.ORCID 0000-0003-2325-5084
Sundaresan RajeshInternational Graduate School of Arts and Sciences, Yokohama City University, 1-7-29 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan.
Hiroki OgasaGraduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Takumi UedaGraduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Hiromasa YagiRIKEN Center for Biosystems Dynamics Research, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama230-0045, Japan.ORCID 0000-0001-8059-4440
Toshiyuki KohnoDepartment of Medical Informatics, Research and Development Center for Medical Education, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa 252-0374, Japan.
Takanori KigawaRIKEN Center for Biosystems Dynamics Research, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama230-0045, Japan.ORCID 0000-0003-0146-9719
Ichio ShimadaRIKEN Center for Biosystems Dynamics Research, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama230-0045, Japan.ORCID 0000-0001-9864-3407
Peter GüntertDepartment of Chemistry, Graduate School of Science, Tokyo Metropolitan University, 1-1 minamiosawa, Hachioji, Tokyo 192-0397, Japan.
Yutaka ItoDepartment of Chemistry, Graduate School of Science, Tokyo Metropolitan University, 1-1 minamiosawa, Hachioji, Tokyo 192-0397, Japan.
Teppei IkeyaDepartment of Chemistry, Graduate School of Science, Tokyo Metropolitan University, 1-1 minamiosawa, Hachioji, Tokyo 192-0397, Japan.ORCID 0000-0002-6721-3727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite accumulating evidence that protein dynamics is indispensable for understanding the structural basis of biological activities, it remains challenging to visualize the spatial description of the dynamics and to associate transient conformations with their molecular functions. We have developed a new NMR protein structure determination method for the inference of multistate conformations using multiple types of NMR data, including paramagnetic NMR and residual dipolar couplings, as well as conventional NOEs. Integration of these data in the structure calculation permits delineating accurate ensemble structures of biomacromolecules. Applying the method to yeast ubiquitin hydrolase 1, we find large dynamics of its N-terminus (gating lid) and crossover loop surrounding the active site for ubiquitin-recognition and proteolysis. The N-terminus (gating lid) moves into and out of the crossover loop, suggesting their underlying functional significance. Our results, including those from biochemical analysis, show that large motion surrounding the active site contributes strongly to the efficiency of the enzymatic activity.

Indexed as

UbiquitinCatalytic DomainModels, MolecularNuclear Magnetic Resonance, BiomolecularProtein ConformationSaccharomyces cerevisiaeUbiquitin

Identifiers

PMID40769174
PMCPMC12371885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.