Cited by 36Protein Degradation and InhibitorsChemical Synthesis and AnalysisComputational Drug Discovery Methods

Molecular glue degraders: exciting opportunities for novel drug discovery

Lemaitre, Thomas, Cornu, Marie, Schwalen, Florian, Since, Marc, Kieffer, Charline, Voisin-Chiret, Anne Sophie·2024·Expert Opinion on Drug Discovery

Abstract

Introduction Molecular Glue Degraders (MGDs) is a concept that refers to a class of compounds that facilitate the interaction between two proteins or molecules within a cell. These compounds act as bridge that enhances specific Protein-Protein Interactions (PPIs). Over the past decade, this technology has gained attention as a potential strategy to target proteins that were traditionally considered undruggable using small molecules. Areas covered This review presents the concept of cellular homeostasis and the balance between protein synthesis and protein degradation. The concept of protein degradation is concerned with molecular glues, which form part of the broader field of Targeted Protein Degradation (TPD). Next, pharmacochemical strategies for the rational design of MGDs are detailed and illustrated by examples of Ligand-Based (LBDD), Structure-Based (SBDD) and Fragment-Based Drug Design (FBDD). Expert opinion Expanding the scope of what can be effectively targeted in the development of treatments for diseases that are incurable or resistant to conventional therapies offers new therapeutic options. The treatment of microbial infections and neurodegenerative diseases is a major societal challenge, and the discovery of MGDs appears to be a promising avenue. Combining different approaches to discover and exploit a variety of innovative therapeutic agents will create opportunities to treat diseases that are still incurable.

Integrity signals

Registry

Crossref · 10.1080/17460441.2024.2306845

Cites

101 of 101 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Unlike conventional inhibitors, molecular glues facilitate protein degradation by inducing proximity between the target and E3 ligases and have gained attention as a potential strategy for targeting proteins.

    “Unlike conventional inhibitors, molecular glues facilitate protein degradation by inducing proximity between the target and E3 ligases and have gained attention as a potential strategy for targeting proteins54,55.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Lemaitre, T., Cornu, M., Schwalen, F., Since, M., Kieffer, C., & Voisin-Chiret, A. S.
Affiliations
  • Normandie Université (FR)
  • Normandie University, UNICAEN, CERMN, Caen, France
Venue
Expert Opinion on Drug Discovery
Published
2024-01-24
Volume
19
Issue
4
Pages
433-449
ISSN
  • 1746-0441 (ISSN-L)
  • 1746-045X
OpenAlex
W4391029468
Cited by
36
References
101
Citations by year
2026: 11 · 2025: 20 · 2024: 5
FWCI
1.47
Type
journal article
Language
en
Open access
closed
Locations
  • Expert Opinion on Drug Discovery (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
Funders
No funding
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chemical Synthesis and Analysis
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
Keywords
molecular glues, targeted protein degradation, protein-protein interaction, undruggable proteins, protein degradation, cellular homeostasis, ligand-based drug design, structure-based drug design, fragment-based drug discovery, rational drug design, microbial infection, neurodegenerative diseases
MeSH terms
Humans, Technology, Drug Design, Drug Discovery, Proteolysis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review