Evidence map›Paper›PMID 42819310›Full record

ArticleJACS Au2026

Lysine-Targeting Covalent Inhibition of Glutaminase Using Cyanopyrimidines.

Xiwen Xiao, Hibiki Okuno, Saki Inoue, Naoki Zenmyo, Yuya Matsumoto, Emi Mishiro-Sato, Keiko Kano, Kazuaki Yoshimune, Shohei Uchinomiya, Akio Ojida

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. 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

10 authors.

Xiwen XiaoGraduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.ORCID https://orcid.org/0009-0004-1660-3604
Hibiki OkunoGraduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Saki InoueGraduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Naoki ZenmyoGraduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Yuya MatsumotoGraduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Emi Mishiro-SatoInstitute of Transformative Bio-Molecules (WPI-ITbM), Nagoya University, Furo-Cho, Chikusa-ku, Nagoya 464-8601, Japan.
Keiko KanoInstitute of Transformative Bio-Molecules (WPI-ITbM), Nagoya University, Furo-Cho, Chikusa-ku, Nagoya 464-8601, Japan.
Kazuaki YoshimuneCollege of Industrial Technology, Nihon University, Izumi-cho 1-2-1, Narashino, Chiba 275-8575, Japan.
Shohei UchinomiyaGraduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Akio OjidaGraduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.ORCID https://orcid.org/0000-0002-9440-8167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant metabolic activity is a hallmark of cancer and is recognized as a promising target for cancer therapy. However, covalent inhibitors that irreversibly modulate cancer-associated metabolic states remain largely unexplored. Here, we report the development of covalent inhibitors targeting glutaminase 1 (GLS1), a rate-determining enzyme in the glutamine metabolism. To develop covalent inhibitors of GLS1, we systematically evaluated the reactivity of

Indexed as

covalent inhibitorcyanopyrimidineglutaminase 1glutamine metabolismlysine-reactive warhead

Identifiers

PMID42819310
PMCPMC13625595

What OpenQuestion holds

Textmetadata
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.