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Record W4413942397 · doi:10.1021/acschembio.6c00137

Discovery and Development of a Potent LIMK2 Isoform-Specific Degrader

2025· article· en· W4413942397 on OpenAlexfundno aff
Kamal R. Abdul Azeez, Hayuningbudi Saraswati, Thorsten Mosler, Thomas Hanke, Hung xuan Ho, Noah Neder, Saran Aswathaman Sivashanmugam, Marcel Heinz, Martin P. Schwalm, Giulio Giuliani, Rajeshwari Rathore, Rubina Kazi, Rahul Kumar, M. Mitrovic, Cristian Prieto‐Garcia, H. Bailey, Sebastian Mathea, Gerhard Hummer, Ivan Đikić, Susanne Müller, Alexandra Stolz, Daniela S. Krause, S. Knapp

Bibliographic record

VenueACS Chemical Biology · 2025
Typearticle
Languageen
FieldComputer Science
TopicSensor Technology and Measurement Systems
Canadian institutionsnot available
FundersStructural Genomics ConsortiumBundesministerium für Bildung und ForschungDeutsche ForschungsgemeinschaftDeutsches Krebsforschungszentrum
KeywordsGene isoformComputational biologyBiologyBiochemistryGene

Abstract

fetched live from OpenAlex

The LIM kinases (LIMK1/2) are key mediators in signaling cascades that regulate actin cytoskeleton dynamics via cofilin phosphorylation. Dysregulation of these pathways and overexpression of LIMKs are implicated in disease development, including cancer, Fragile X syndrome, and glaucoma. Positioned downstream of actin-regulating Rho GTPase signaling pathways, LIM kinases are attractive drug targets. Here, we targeted LIMKs with PROTACs to disrupt both catalytically and noncatalytically mediated functions. Despite employing a dual LIMK1/2 inhibitor warhead and high structural conservation between the two human LIM kinases, we discovered isoform-specific LIMK2 degradation by initial PROTACs that we optimized into a highly potent and selective LIMK2 degrader. Cell-based assays and structural analysis indicated that isoform specificity was likely driven by favorable orientation bias and/or lysine accessibility, along with enhanced ternary complex formation. We comprehensively characterized the PROTAC as a chemical probe that induces isoform-specific degradation, offering a powerful alternative to conventional reversible pan-LIMK inhibitors.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.093
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.027
GPT teacher head0.244
Teacher spread0.216 · 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 teacher head, 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

Citations0
Published2025
Admission routes1
Has abstractyes

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