Evidence map›Paper›PMID 40490488›Full record

ReviewNature reviews. Drug discovery2025

Targeting protein disorder: the next hurdle in drug discovery.

Tamas Lazar, Acadia Connor, Charles F DeLisle, Virginia Burger, Peter Tompa

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Targeting MYC-Driven Cancers: From Oncogenic Addiction to Therapeutic Vulnerability.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
  5. Article
  6. Adaptive Disorder as the Hallmark of Nanobodies Antigen-Binding Loops.Journal of chemical information and modeling · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Mapping Allosteric Communication in the Nucleosome with Conditional Activity.Journal of chemical information and modeling · 2026
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
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.

Tamas Lazar *VIB-VUB Center for Structural Biology, Vlaams Instituut voor Biotechnologie (VIB), Brussels, Belgium.ORCID 0000-0001-7496-6711
Acadia Connor *New Equilibrium Biosciences, Boston, MA, USA.ORCID 0000-0001-7319-0616
Charles F DeLisleNew Equilibrium Biosciences, Boston, MA, USA.ORCID 0000-0002-2827-8149
Virginia BurgerNew Equilibrium Biosciences, Boston, MA, USA. virginia@blackbirdlab.org.ORCID 0000-0002-8612-4797
Peter TompaVIB-VUB Center for Structural Biology, Vlaams Instituut voor Biotechnologie (VIB), Brussels, Belgium. peter.tompa@vub.be.ORCID 0000-0001-8042-9939

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intrinsically disordered proteins have key signalling and regulatory roles in cells and are frequently dysregulated in diseases such as cancer, neurodegeneration, inflammation and autoimmune disorders. Preventing the pathological functions mediated by structural disorder is crucial to successfully target proteins that drive transcription, biomolecular condensation and protein aggregation. However, owing to their heterogeneous, highly dynamic structural states, with ensembles of rapidly interconverting conformations, disordered proteins have been considered largely 'undruggable' by traditional approaches. Here, we review key developments of the field and suggest that the synergy of advanced experimental and computational approaches needs to be pursued to conquer this barrier in drug discovery.

Indexed as

Drug DiscoveryIntrinsically Disordered ProteinsAnimalsHumansProtein ConformationIntrinsically Disordered Proteins

Identifiers

What OpenQuestion holds

Textmetadata
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.