Evidence map›Paper›PMID 42734496›Full record

ArticleJournal of chemical information and modeling2026

Fragment-Based Discovery of KLK6 and KLK7 Inhibitors.

Renato Ferreira de Freitas, Feryel Soualmia, Rilès Boumali, Yasmine Harrak, Chahrazade El Amri

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 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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0cells of the map it votes in
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

5 authors.

Renato Ferreira de FreitasCentro de Ciências Naturais e Humanas, Universidade Federal do ABC, Rua Arcturus 3, São Bernardo do Campo, São Paulo09606-070, Brazil.ORCID 0000-0001-6195-4236
Feryel SoualmiaSorbonne Université, CNRS, Inserm, Development, Adaptation and Ageing, Dev2A, F-75005Paris, France.
Rilès BoumaliSorbonne Université, CNRS, Inserm, Development, Adaptation and Ageing, Dev2A, F-75005Paris, France.
Yasmine HarrakSorbonne Université, CNRS, Inserm, Development, Adaptation and Ageing, Dev2A, F-75005Paris, France.
Chahrazade El AmriSorbonne Université, CNRS, Inserm, Development, Adaptation and Ageing, Dev2A, F-75005Paris, France.ORCID 0000-0002-1028-5113

Funding

Centre National de la Recherche Scientifique NAFunda??o de Amparo ? i Pesquisa do Estado de S?o Paulo 2018/11011-7Funda??o de Amparo ? i Pesquisa do Estado de S?o Paulo 2019/08603-2Institut National de la Sant? et de la Recherche M?dicale NAMinist?re de l'Enseignement sup?rieur et de la Recherche NASorbonne Universit? NA
6 · The paper itself

Abstract

Human tissue kallikreins are serine proteases implicated in the pathogenesis of neurodegenerative diseases, skin disorders, and various cancers. Despite their therapeutic relevance, the development of selective small-molecule inhibitors for these enzymes has been limited compared to other serine proteases. To address this, we implemented a fragment-based virtual screening (FBVS) strategy to identify chemically tractable starting points for the inhibition of KLK6 and KLK7. The computational workflow, combining structure-based docking tailored to serine protease active sites, was experimentally validated using in vitro enzymatic assays. Notably, the approach yielded hit rates (IC50 ≤ 100 μM) ranging from 4% (KLK7) to 21.6% (KLK6), underscoring both the robustness of the screening cascade and the druggability of these targets. Preliminary structure-activity relationship analysis identified fragment 69 as a potent and ligand-efficient KLK6 inhibitor (IC50 = 2.1 μM, LE = 0.43). For KLK7, a distinct neutral 2-hydroxyquinoline fragment (38) was validated as a ligand-efficient hit (IC50 = 43.3 μM; LE = 0.46). Overall, this study demonstrates that kallikrein-related peptidases are amenable to fragment-based discovery and provides chemically simple, highly ligand-efficient fragments that serve as promising starting points for lead optimization targeting kallikrein-driven pathologies.

Indexed as

Drug DiscoveryKallikreinsSerine Proteinase InhibitorsHumansMolecular Docking SimulationStructure-Activity RelationshipKallikreinsKLK6 protein, humanKLK7 protein, humanSerine Proteinase Inhibitors

Identifiers

PMID42734496
PMCPMC13580116

What OpenQuestion holds

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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.