Evidence map›Paper›PMID 42310377›Full record

ArticleScientific reports2026

Computational stability analysis suggests binding-independent destabilization in pathogenic FBXO11 variants.

Youngkyu Shim, Eungu Kang, Suhyun Kim

Abstract read
In one paragraph

Article in Scientific reports, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Youngkyu ShimDivision of Pediatric Neurology, Department of Pediatrics, Korea University Ansan Hospital, Korea University College of Medicine, 123, Jeokgeum-ro, Danwongu, Ansan-si, Gyeonggi-do, Ansan, 15355, Republic of Korea. ykshim2013@gmail.com.
Eungu KangDivision of Medical Genetics, Department of Pediatrics, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Gyeonggi-do, Republic of Korea.
Suhyun KimDepartment of Convergence Medicine, College of Medicine, Korea University, Seoul, Republic of Korea.

Funding

Korea University Ansan Hospital O2515271
6 · The paper itself

Abstract

FBXO11 binds SKP1 within an SCF E3 ubiquitin ligase complex, where it recognizes substrates for ubiquitination and degradation. Pathogenic FBXO11 variants cause neurodevelopmental disorders, yet several retain normal SKP1 binding, indicating that disrupted SKP1 binding alone cannot account for disease. We integrated multi-conformational AlphaFold3 models with FoldX and Rosetta stability predictions to evaluate 44 missense variants (23 pathogenic, 21 benign). Pathogenic variants showed greater predicted destabilization than benign controls by both methods (FoldX 1.86 vs. 0.54 kcal/mol, Cohen's d = 0.50; Rosetta 6.85 vs. 1.31 kcal/mol, Cohen's d = 0.78; both p < 0.01, FDR-corrected). Discrimination was consistent in both the FBXO11 monomer and the FBXO11-SKP1 complex contexts. Among ten pathogenic variants with experimentally validated normal SKP1 binding, 9/10 by FoldX and 8/10 by Rosetta exceeded a 1.0 kcal/mol threshold (10/10 by either method). Benchmarking against AlphaMissense, REVEL, and CADD indicated that physics-based ΔΔG provides complementary mechanistic information to existing predictors. Exploratory molecular dynamics simulations (300 ns total) suggested elevated backbone RMSD in pathogenic variants. These findings support a hypothesis of binding-independent destabilization in FBXO11-associated pathogenesis, although requiring further computational analysis and experimental validation.

Indexed as

F-Box ProteinsProtein-Arginine N-MethyltransferasesHumansModels, MolecularMolecular Dynamics SimulationMutation, MissenseProtein BindingProtein ConformationProtein StabilitySKP Cullin F-Box Protein LigasesS-Phase Kinase-Associated ProteinsF-Box ProteinsFBXO11 protein, humanProtein-Arginine N-MethyltransferasesSKP1 protein, humanSKP Cullin F-Box Protein LigasesS-Phase Kinase-Associated Proteins

Identifiers

PMID42310377
PMCPMC13542284

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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.