Evidence map›Paper›PMID 40001507›Full record

ReviewBiomolecules2025

Unraveling the Engagement of Kinases to CRBN Through a Shared Structural Motif to Optimize PROTACs Efficacy.

Serena Rosignoli, Sara Giordani, Maddalena Pacelli, Giulia Guarguaglini, Alessandro Paiardini

Abstract readReview
In one paragraph

Review in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

Serena RosignoliCentre for Regenerative Medicine "Stefano Ferrari", Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.ORCID 0000-0002-0164-8998
Sara GiordaniDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, 00185 Rome, Italy.
Maddalena PacelliDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, 00185 Rome, Italy.
Giulia GuarguagliniInstitute of Molecular Biology and Pathology, National Research Council of Italy, c/o Department of Biology and Biotechnology, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-7541-8183
Alessandro PaiardiniDepartment of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0001-9078-7545

Funding

European Research Council Advanced Grant HOLO-GT [101019289]Ministero dell'Istruzione e del Merito PRIN CUP: 2022N3JXLASapienza University of Rome RM1221815D52AB32
6 · The paper itself

Abstract

PROteolysis TArgeting Chimeras (PROTACs) offer a therapeutic modality for protein target engagement, exploiting the ubiquitin-proteasome system to achieve precise degradation of a protein of interest. Recent advancements in understanding the structural biology of the CRL4A E3 ligase complex, particularly its recruitment of neo-substrates through the G-loop motif, have provided valuable insights into the optimization of PROTAC efficacy. This perspective delves into the molecular determinants governing PROTAC selectivity and degradation efficiency, with a specific focus on kinases showing distinct G-loop conformations. By employing computational approaches to predict ternary complexes, along with the identification of binding patterns, it is possible to address limitations posed by structural data scarcity, thereby enhancing rational design strategies.

Indexed as

Adaptor Proteins, Signal TransducingUbiquitin-Protein LigasesHumansProteasome Endopeptidase ComplexProtein BindingProteolysisProteolysis Targeting ChimeraAdaptor Proteins, Signal TransducingCRBN protein, humanProteasome Endopeptidase ComplexProteolysis Targeting ChimeraUbiquitin-Protein LigasesE3 ligasesG-loopkinasesPROTACs

Identifiers

PMID40001507
PMCPMC11852972

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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.