Evidence map›Paper›PMID 38565952›Full record

ArticleThe EMBO journal2024

MolPhase, an advanced prediction algorithm for protein phase separation.

Qiyu Liang, Nana Peng, Yi Xie, Nivedita Kumar, Weibo Gao, Yansong Miao

Abstract read
In one paragraph

Article in The EMBO journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  11. PMF proteins mediate mitochondrial fusion in Arabidopsis.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

6 authors.

Qiyu Liang *School of Physical and Mathematical Sciences, Nanyang Technological University, 637371, Singapore, Singapore.ORCID http://orcid.org/0000-0002-1125-0051
Nana Peng *School of Biological Sciences, Nanyang Technological University, 637551, Singapore, Singapore.ORCID http://orcid.org/0009-0003-1283-5355
Yi XieSchool of Biological Sciences, Nanyang Technological University, 637551, Singapore, Singapore.
Nivedita KumarSchool of Biological Sciences, Nanyang Technological University, 637551, Singapore, Singapore.
Weibo GaoSchool of Physical and Mathematical Sciences, Nanyang Technological University, 637371, Singapore, Singapore.
Yansong MiaoSchool of Biological Sciences, Nanyang Technological University, 637551, Singapore, Singapore. yansongm@ntu.edu.sg.ORCID http://orcid.org/0000-0003-1551-7873

Funding

Ministry of Education - Singapore (MOE) MOE2019-T3-1-012Ministry of Education - Singapore (MOE) MOE-T2EP30121-0015Ministry of Education - Singapore (MOE) MOE-T2EP30122-0021Ministry of Health -Singapore (MOH) MOH-000955National Research Foundation Singapore (NRF) NRF2021-QEP2-03-P10National Research Foundation Singapore (NRF) NRFI08-2022-0012
6 · The paper itself

Abstract

We introduce MolPhase, an advanced algorithm for predicting protein phase separation (PS) behavior that improves accuracy and reliability by utilizing diverse physicochemical features and extensive experimental datasets. MolPhase applies a user-friendly interface to compare distinct biophysical features side-by-side along protein sequences. By additional comparison with structural predictions, MolPhase enables efficient predictions of new phase-separating proteins and guides hypothesis generation and experimental design. Key contributing factors underlying MolPhase include electrostatic pi-interactions, disorder, and prion-like domains. As an example, MolPhase finds that phytobacterial type III effectors (T3Es) are highly prone to homotypic PS, which was experimentally validated in vitro biochemically and in vivo in plants, mimicking their injection and accumulation in the host during microbial infection. The physicochemical characteristics of T3Es dictate their patterns of association for multivalent interactions, influencing the material properties of phase-separating droplets based on the surrounding microenvironment in vivo or in vitro. Robust integration of MolPhase's effective prediction and experimental validation exhibit the potential to evaluate and explore how biomolecule PS functions in biological systems.

Indexed as

AlgorithmsPhase SeparationPlant ProteinsBacterial ProteinsType III Secretion SystemsBacterial ProteinsPlant ProteinsType III Secretion SystemsEffectorMolecular CondensationPhase SeparationPrediction

Identifiers

PMID38565952
PMCPMC11065880

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Registered trials

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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.