Evidence map›Paper›PMID 40037809›Full record

ArticleGenomics, proteomics & bioinformatics2025

PhaSeDis: A Manually Curated Database of Phase Separation-disease Associations and Corresponding Small Molecules.

Taoyu Chen, Guoguo Tang, Tianhao Li, Zhining Yanghong, Chao Hou, Zezhou Du, Kaiqiang You, Liwei Ma, Tingting Li

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

9 authors.

Taoyu ChenDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.ORCID 0000-0002-8966-1264
Guoguo TangDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.ORCID 0009-0007-8504-8597
Tianhao LiDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.ORCID 0009-0003-4900-6948
Zhining YanghongDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.ORCID 0009-0004-6571-8096
Chao HouDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.ORCID 0000-0003-4806-7637
Zezhou DuDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.ORCID 0009-0005-8953-8345
Kaiqiang YouDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.ORCID 0000-0002-5038-1185
Liwei MaDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.ORCID 0009-0000-2429-4881
Tingting LiDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.ORCID 0000-0003-4266-0317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomacromolecules form membraneless organelles through liquid-liquid phase separation in order to regulate the efficiency of particular biochemical reactions. Dysregulation of phase separation might result in pathological condensation or sequestration of biomolecules, leading to diseases. Thus, phase separation and phase separating factors may serve as drug targets for disease treatment. Nevertheless, such associations have not yet been integrated into phase separation-related databases. Therefore, based on MloDisDB, a database for membraneless organelle factor-disease associations previously developed by our lab, we constructed PhaSeDis, the phase separation-disease association database. We increased the number of phase separation entries from 52 to 185, and supplemented the evidence provided by the original articles verifying the phase separation nature of the factors. Moreover, we included the information of interacting small molecules with low-throughput or high-throughput evidence that might serve as potential drugs for phase separation entries. PhaSeDis strives to offer comprehensive descriptions of each entry, elucidating how phase separating factors induce pathological conditions via phase separation and the mechanisms by which small molecules intervene. We believe that PhaSeDis would be very important in the application of phase separation regulation in treating related diseases. PhaSeDis is available at http://mlodis.phasep.pro.

Indexed as

Databases, FactualDiseaseSmall Molecule LibrariesHumansPhase SeparationSmall Molecule LibrariesBiomolecular condensationDatabaseDiseasePhase separationSmall molecule

Identifiers

PMID40037809
PMCPMC12208530

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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.