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Record W4411293550 · doi:10.1101/2025.06.10.658868

Structural basis for NONO specific modification by the α-chloroacetamide compound <i>(R)</i> -SKBG-1

2025· preprint· en· W4411293550 on OpenAlexaff
Alessia Vincenza Florio, Corinne Buré, Sébastien Fribourg

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsCanadian Nautical Research Society
FundersUniversité de BordeauxCentre National de la Recherche ScientifiqueInstitut National de la Santé et de la Recherche Médicale
KeywordsChemistryRNA splicingSmall moleculeAlternative splicingOrganelleBiochemistryBiologyComputational biologyGeneMessenger RNARNA

Abstract

fetched live from OpenAlex

SUMMARY Among the many proteins involved in cancer progression an increasing number of RNA Binding Proteins (RBPs) are central to the function of a cell and tightly associated to genetic diseases as well as cancer appearance and progression. In a recent study, small molecule inhibitors have been identified as targeting NONO, a RBP known to be involved in mRNA splicing, DNA repair and membraneless organelles stability. Here we report the molecular basis of NONO-targeting by the α-chloroacetamide (R)- SKBG-1. We explore the specific binding and enantiomer specificity of NONO towards (R) -SKBG-1 using mass spectrometry and structure determination. We have determined the crystal structure of (R )-SKBG-1-bound to NONO homodimer. This study sheds light on the conformational plasticity of (R) -SKBG-1 when covalently bound to NONO. Altogether these results give an experimental rationale for ligand modification and optimization in a future use as a drug against cancer. SIGNIFICANCE DBHS proteins form a family of three proteins encoded by three different and essential genes. They form obligate homodimers and heterodimers to fulfil their function. In the cell, they are involved in mRNA splicing, DNA repair and membraneless organelles formation. Recently, NONO has been identified as a target of small-molecule inhibitors in prostate cancer cells. Treatment with α-chloroacetamide modifies a specific cysteine residue only found in NONO and not in its paralogue proteins SFPQ and PSPC1. Here we provide the molecular basis of α-chloroacetamide covalent binding to NONO and we explore the enantiomer specificity of binding. We also demonstrate that α-chloroacetamide can target NONO in homodimers and heterodimers and that both binding sites are equivalently modified. Finally, we provide show that α-chloroacetamide binding to NONO is driven by the combination of covalent binding and conformational flexibility of the ligand. Altogether, we believe that this study provides useful information for ligand improvement aiming at targeting NONO in cancer cells. OUTLINE NONO residue C145 is targeted by (R)- SKBG-1 The two binding sites are equally modified in NONO homodimers NONO is specifically targeted and not SFPQ and PSPC1 (R)- SKBG-1 adopts multiple conformations in the absence of RNA

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.232
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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