Evidence map›Paper›PMID 36762429›Full record

ArticleJournal of chemical information and modeling2023

Mechanistic Modeling of Lys745 Sulfonylation in EGFR C797S Reveals Chemical Determinants for Inhibitor Activity and Discriminates Reversible from Irreversible Agents.

Kemel Arafet, Laura Scalvini, Francesca Galvani, Sergio Martí, Vicent Moliner, Marco Mor, Alessio Lodola

Open access · hybridAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

10 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Kemel ArafetDipartimento di Scienze degli Alimenti e del Farmaco, Università degli Studi di Parma, Parco Area delle Scienze 27/A, I- 43124 Parma, Italy.
Laura ScalviniDipartimento di Scienze degli Alimenti e del Farmaco, Università degli Studi di Parma, Parco Area delle Scienze 27/A, I- 43124 Parma, Italy.ORCID 0000-0003-3610-527X
Francesca GalvaniDipartimento di Scienze degli Alimenti e del Farmaco, Università degli Studi di Parma, Parco Area delle Scienze 27/A, I- 43124 Parma, Italy.ORCID 0000-0002-7543-9945
Sergio MartíBioComp Group, Institute of Advanced Materials (INAM), Universitat Jaume I, 12071 Castelló, Spain.ORCID 0000-0002-1087-7143
Vicent MolinerBioComp Group, Institute of Advanced Materials (INAM), Universitat Jaume I, 12071 Castelló, Spain.ORCID 0000-0002-3665-3391
Marco MorDipartimento di Scienze degli Alimenti e del Farmaco, Università degli Studi di Parma, Parco Area delle Scienze 27/A, I- 43124 Parma, Italy.ORCID 0000-0003-0199-1849
Alessio LodolaDipartimento di Scienze degli Alimenti e del Farmaco, Università degli Studi di Parma, Parco Area delle Scienze 27/A, I- 43124 Parma, Italy.ORCID 0000-0002-8675-1002
University of Parma · ITUniversitat Jaume I · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted covalent inhibitors hold promise for drug discovery, particularly for kinases. Targeting the catalytic lysine of epidermal growth factor receptor (EGFR) has attracted attention as a new strategy to overcome resistance due to the emergence of C797S mutation. Sulfonyl fluoride derivatives able to inhibit EGFR

Indexed as

ErbB ReceptorsLung NeoplasmsDrug Resistance, NeoplasmHumansLysineMutationProtein Kinase InhibitorsSulfinic AcidsEGFR protein, humanErbB ReceptorsLysineProtein Kinase InhibitorsSulfinic Acidssulfuryl fluoride

Identifiers

PMID36762429
PMCPMC9976278
OpenAlexW4319815296

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.