Evidence map›Paper›PMID 42033018›Full record

ArticleChembiochem : a European journal of chemical biology2026

Mapping the SHP2 Allosteric Pocket With Target-Biased Covalent Fragments.

Nina-Louisa Efrém, Noémi Csorba, Machoud Amoussa, Péter Ábrányi-Balogh, Ziqiong Guo, László Petri, Feng Bo, Vincenzo Di Lorenzo, Yvette Roske, Tibor Viktor Szalai and 6 more

Abstract read
In one paragraph

Article in Chembiochem : a European journal of chemical 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.

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0citing papers in PubMed
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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

16 authors.

Nina-Louisa EfrémMedicinal Chemistry, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.
Noémi CsorbaMedicinal Chemistry Research Group, HUN-REN Research Centre for Natural Sciences (HUN-REN RCNS), Budapest, Hungary.
Machoud AmoussaMedicinal Chemistry, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.
Péter Ábrányi-BaloghMedicinal Chemistry Research Group, HUN-REN Research Centre for Natural Sciences (HUN-REN RCNS), Budapest, Hungary.
Ziqiong GuoMedicinal Chemistry, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.
László PetriMedicinal Chemistry Research Group, HUN-REN Research Centre for Natural Sciences (HUN-REN RCNS), Budapest, Hungary.
Feng BoShanghai Institute of Materia Medica (SIMM), Chinese Academy of Sciences, Shanghai, China.
Vincenzo Di LorenzoMedicinal Chemistry Research Group, HUN-REN Research Centre for Natural Sciences (HUN-REN RCNS), Budapest, Hungary.
Yvette RoskeStructural Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Tibor Viktor SzalaiMedicinal Chemistry Research Group, HUN-REN Research Centre for Natural Sciences (HUN-REN RCNS), Budapest, Hungary.ORCID 0009-0000-4088-3117
Levente MihalovitsMedicinal Chemistry Research Group, HUN-REN Research Centre for Natural Sciences (HUN-REN RCNS), Budapest, Hungary.
József SimonMedicinal Chemistry Research Group, HUN-REN Research Centre for Natural Sciences (HUN-REN RCNS), Budapest, Hungary.
Jia LiShanghai Institute of Materia Medica (SIMM), Chinese Academy of Sciences, Shanghai, China.
Oliver DaumkeStructural Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
György M KeserűMedicinal Chemistry Research Group, HUN-REN Research Centre for Natural Sciences (HUN-REN RCNS), Budapest, Hungary.ORCID 0000-0003-1039-7809
Marc NazaréMedicinal Chemistry, Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin, Germany.ORCID 0000-0002-1602-2330

Funding

European Union's Horizon 2020 research and innovation program, Marie Skłodowska Curie 956314National Research Development and Innovation Office of Hungary 152137National Research Development and Innovation Office of Hungary RRF-2.3.1-21-2022-00015
6 · The paper itself

Abstract

Targeted covalent inhibitors (TCIs) form covalent bonds with a specific amino acid in their target proteins, offering high selectivity and sustained pharmacologic effects. However, identifying optimal electrophilic warheads and nucleophilic amino acids remains a major hurdle for TCI development. While covalent fragment libraries are efficient in the identification of reactive residues, their inherently weak and transient interactions often fail to address functionally relevant binding sites. Here, we combine the exploratory approach of covalent fragment screening with established inhibitor pharmacophores for covalent mapping of the tunnel allosteric site of the oncogenic phosphatase SHP2. Aryl sulfonyl fluoride (SF) fragments featuring pharmacophore elements to enhance noncovalent interactions (target-biased fragments) covalently targeted lysine 492 (K492) in the tunnel binding site, while a conventional SF fragment library lacking these features was not reactive toward K492. Covalent engagement of K492 improved enzyme inhibition and provides a starting point for SHP2 TCI development. More broadly, this study underscores how noncovalent interactions direct covalent fragment binding and highlights target-biased fragments as a complementary strategy to conventional covalent fragment libraries to identify suitable warheads and reactive amino acids in functionally relevant binding sites with minimal a priori knowledge of ligand pharmacophores.

Indexed as

Enzyme InhibitorsProtein Tyrosine Phosphatase, Non-Receptor Type 11Allosteric SiteBinding SitesHumansPharmacophoreStructure-Activity RelationshipEnzyme InhibitorsProtein Tyrosine Phosphatase, Non-Receptor Type 11PTPN11 protein, humanallosteric inhibitioncovalent fragmentsphosphatasesSHP2SuFEx

Identifiers

PMID42033018
PMCPMC13109685

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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.