Evidence map›Paper›PMID 39818743›Full record

ReviewChemical reviews2025

Protein-Based Degraders: From Chemical Biology Tools to Neo-Therapeutics.

Lisha Ou, Mekedlawit T Setegne, Jeandele Elliot, Fangfang Shen, Laura M K Dassama

Abstract readReview
In one paragraph

Review in Chemical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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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.

Lisha OuDepartment of Chemistry, Stanford University, Stanford, California 94305, United States.
Mekedlawit T SetegneDepartment of Chemistry, Stanford University, Stanford, California 94305, United States.
Jeandele ElliotDepartment of Chemical Engineering, Stanford University, Stanford, California 94305, United States.
Fangfang ShenDepartment of Chemistry, Stanford University, Stanford, California 94305, United States.
Laura M K DassamaDepartment of Chemistry, Stanford University, Stanford, California 94305, United States.ORCID 0000-0002-0851-6373

Funding

Chemical tools for modulating the fetal hemoglobin inducer BCL11AR01HL173127 · NHLBI · STANFORD UNIVERSITY · PI Laura Dassama · 2024 to 2026
$1.2M
NHLBI NIH HHS R01 HL173127
6 · The paper itself

Abstract

The nascent field of targeted protein degradation (TPD) could revolutionize biomedicine due to the ability of degrader molecules to selectively modulate disease-relevant proteins. A key limitation to the broad application of TPD is its dependence on small-molecule ligands to target proteins of interest. This leaves unstructured proteins or those lacking defined cavities for small-molecule binding out of the scope of many TPD technologies. The use of proteins, peptides, and nucleic acids (otherwise known as "biologics") as the protein-targeting moieties in degraders addresses this limitation. In the following sections, we provide a comprehensive and critical review of studies that have used proteins and peptides to mediate the degradation and hence the functional control of otherwise challenging disease-relevant protein targets. We describe existing platforms for protein/peptide-based ligand identification and the drug delivery systems that might be exploited for the delivery of biologic-based degraders. Throughout the Review, we underscore the successes, challenges, and opportunities of using protein-based degraders as chemical biology tools to spur discoveries, elucidate mechanisms, and act as a new therapeutic modality.

Indexed as

ProteinsProteolysisAnimalsDrug Delivery SystemsHumansLigandsPeptidesSmall Molecule LibrariesLigandsPeptidesProteinsSmall Molecule Libraries

Identifiers

PMID39818743
PMCPMC11870016

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.