Evidence map›Paper›PMID 42041106›Full record

ReviewJournal of medicinal chemistry2026

Probing Allosteric Kinase Modulators as Next Game-Changers in Fighting Neurodegeneration.

Elena Roggiolani, Michela Rosini, Anna Minarini, Filippo Basagni

Abstract readReview
In one paragraph

Review in Journal of medicinal chemistry, 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

4 authors.

Elena RoggiolaniDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum─University of Bologna, Via Belmeloro 6, Bologna 40126, Italy.
Michela RosiniDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum─University of Bologna, Via Belmeloro 6, Bologna 40126, Italy.ORCID 0000-0003-3750-2728
Anna MinariniDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum─University of Bologna, Via Belmeloro 6, Bologna 40126, Italy.ORCID 0000-0002-4905-0944
Filippo BasagniDepartment of Pharmacy and Biotechnology, Alma Mater Studiorum─University of Bologna, Via Belmeloro 6, Bologna 40126, Italy.ORCID 0000-0003-0710-4251

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kinases represent one of the main targets of interest in recent years, completely revolutionizing small molecule anticancer therapy. Particularly, several medicinal chemistry strategies (e.g., covalent and allosteric inhibitors) allowed overcoming of the challenging selectivity issue, thus enabling the massive clinical translation of kinase inhibitors. However, the same success has not been detected yet for tackling neurodegenerative diseases, despite plenty of experimental evidence regarding kinases' pivotal roles in onset and development of neurodegenerative processes. In this perspective we highlight the therapeutic potential of allosteric kinase modulators in this respect, by showcasing the developmental processes and neuroprotective properties of CNS-directed allosteric kinases modulators developed so far. Moreover, we present additional kinases whose modulation is related to neuroprotection and featured by validated allosteric modulators not yet exploited in this context. This, along with a critical discussion on main drawbacks and future directions, may foster the development of allosteric kinase modulators in neurodegenerative diseases.

Indexed as

Neurodegenerative DiseasesNeuroprotective AgentsProtein Kinase InhibitorsProtein KinasesAllosteric RegulationAnimalsHumansNeuroprotective AgentsProtein Kinase InhibitorsProtein Kinases

Identifiers

PMID42041106
PMCPMC13181797

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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.