Evidence map›Paper›PMID 42074035›Full record

ArticleInternational journal of molecular sciences2026

Discovery of Novel Chemotype LRRK2 Inhibitors Through AlphaFold2-Generated Structure-Based Docking Screen.

Rishiram Baral, Jeong In Lee, Jun-Goo Jee

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

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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

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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

3 authors.

Rishiram BaralResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Kyungpook National University, Daegu 41566, Republic of Korea.ORCID 0000-0003-3701-1873
Jeong In LeeResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Kyungpook National University, Daegu 41566, Republic of Korea.
Jun-Goo JeeResearch Institute of Pharmaceutical Sciences, College of Pharmacy, Kyungpook National University, Daegu 41566, Republic of Korea.

Funding

Ministry of Education RS-2025-02308336Ministry of Oceans and Fisheries 20210633
6 · The paper itself

Abstract

The structures predicted by AlphaFold can provide unprecedented opportunities for docking screens; however, experimentally validated examples of using the apo-form are limited. This study reports novel chemotype inhibitors targeting the leucine-rich repeat kinase 2 (LRRK2) kinase domain through a docking screen using one of the ensemble structures starting from the template deposited by AlphaFold2. The MODELLER software generated the ensemble. The conformer that showed the best early enrichment of true positives with the mixture of known ligands and their property-matched decoys was selected. The docking screen against approximately 1.3 million small molecules and enzyme-based assays with the LRRK2 kinase domain followed. We selected 17 molecules, excluding those similar to all known kinase inhibitors. Combined with analogs-by-catalog, ten new small molecules with Ki values below 15 μM were discovered, including one sub-μM inhibitor. To test selectivity, enzyme assays with a mutant and six additional kinases, including known off-targets of existing LRRK2 inhibitors, were performed using three inhibitors. The data suggest that the novelty in chemical structure may be insufficient for providing selectivity. Our approach is generally applicable to cases where information on known binders is available but experimental structure is not.

Indexed as

Drug DiscoveryLeucine-Rich Repeat Serine-Threonine Protein Kinase-2Molecular Docking SimulationProtein Kinase InhibitorsHumansLigandsProtein BindingStructure-Activity RelationshipLeucine-Rich Repeat Serine-Threonine Protein Kinase-2LigandsLRRK2 protein, humanProtein Kinase InhibitorsAlphaFold2docking screeninhibitorkinaseLRRK2

Identifiers

PMID42074035
PMCPMC13116677

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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.