Evidence map›Paper›PMID 37774095›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Multiomic prediction of therapeutic targets for human diseases associated with protein phase separation.

Christine M Lim, Alicia González Díaz, Monika Fuxreiter, Frank W Pun, Alex Zhavoronkov, Michele Vendruscolo

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Target identification and assessment in the era of AI.Nature reviews. Drug discovery · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Multimodal Transformers and Their Applications in Drug Target Discovery for Aging and Age-Related Diseases.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Review
  10. Biomolecular condensates and disease pathogenesis.Science China. Life sciences · 2024
    Review
  11. Review
  12. Article
  13. Brain-Targeting siRNA Delivery to Tackle Alzheimer's Disease.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    Review
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

6 authors.

Christine M Lim *Yusuf Hamied Department of Chemistry, Centre for Misfolding Diseases, University of Cambridge, Cambridge CB2 1EW, United Kingdom.ORCID 0000-0002-5169-6672
Alicia González Díaz *Yusuf Hamied Department of Chemistry, Centre for Misfolding Diseases, University of Cambridge, Cambridge CB2 1EW, United Kingdom.ORCID 0000-0002-9155-1961
Monika FuxreiterDepartment of Biomedical Sciences, University of Padova, Padova 35131, Italy.ORCID 0000-0002-4463-6727
Frank W PunInsilico Medicine, Hong Kong Science and Technology Park, Hong Kong, China.ORCID 0000-0001-8801-6645
Alex ZhavoronkovInsilico Medicine, Hong Kong Science and Technology Park, Hong Kong, China.
Michele VendruscoloYusuf Hamied Department of Chemistry, Centre for Misfolding Diseases, University of Cambridge, Cambridge CB2 1EW, United Kingdom.ORCID 0000-0002-3616-1610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phenomenon of protein phase separation (PPS) underlies a wide range of cellular functions. Correspondingly, the dysregulation of the PPS process has been associated with numerous human diseases. To enable therapeutic interventions based on the regulation of this association, possible targets should be identified. For this purpose, we present an approach that combines the multiomic PandaOmics platform with the FuzDrop method to identify PPS-prone disease-associated proteins. Using this approach, we prioritize candidates with high PandaOmics and FuzDrop scores using a profiling method that accounts for a wide range of parameters relevant for disease mechanism and pharmacological intervention. We validate the differential phase separation behaviors of three predicted Alzheimer's disease targets (MARCKS, CAMKK2, and p62) in two cell models of this disease. Overall, the approach that we present generates a list of possible therapeutic targets for human diseases associated with the dysregulation of the PPS process.

Indexed as

Alzheimer DiseaseMultiomicsCalcium-Calmodulin-Dependent Protein Kinase KinaseHumansProteinsCalcium-Calmodulin-Dependent Protein Kinase KinaseCAMKK2 protein, humanProteinsAlzheimer’s diseaseFuzDropPandaOmicsphase separationtherapeutic targets

Identifiers

PMID37774095
PMCPMC10556643

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.