Evidence map›Paper›PMID 33758287›Full record

ArticleScientific reports2021

Characterization of design grammar of peptides for regulating liquid droplets and aggregates of FUS.

Kiyoto Kamagata, Rika Chiba, Ichiro Kawahata, Nanako Iwaki, Saori Kanbayashi, Kana Maeda, Hiroto Takahashi, Atsushi Hirano, Koji Fukunaga, Keisuke Ikeda and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Leveraging a large language model to predict protein phase transition: A physical, multiscale, and interpretable approach.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Kiyoto Kamagata *Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai, 980-8577, Japan. kiyoto.kamagata.e8@tohoku.ac.jp.
Rika Chiba *Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai, 980-8577, Japan.
Ichiro KawahataDepartment of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, 980-8578, Japan.
Nanako IwakiInstitute of Multidisciplinary Research for Advanced Materials, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai, 980-8577, Japan.
Saori KanbayashiInstitute of Multidisciplinary Research for Advanced Materials, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai, 980-8577, Japan.
Kana MaedaInstitute of Multidisciplinary Research for Advanced Materials, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai, 980-8577, Japan.
Hiroto TakahashiInstitute of Multidisciplinary Research for Advanced Materials, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai, 980-8577, Japan.
Atsushi HiranoNanomaterials Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, 305-8565, Japan.
Koji FukunagaDepartment of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, 980-8578, Japan.
Keisuke IkedaDepartment of Biointerface Chemistry, Faculty of Pharmaceutical Sciences, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan.
Tomoshi KamedaArtificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Koto, Tokyo, 135-0064, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid droplets of aggregation-prone proteins, which become hydrogels or form amyloid fibrils, are a potential target for drug discovery. In this study, we proposed an experiment-guided protocol for characterizing the design grammar of peptides that can regulate droplet formation and aggregation. The protocol essentially involves investigation of 19 amino acid additives and polymerization of the identified amino acids. As a proof of concept, we applied this protocol to fused in sarcoma (FUS). First, we evaluated 19 amino acid additives for an FUS solution and identified Arg and Tyr as suppressors of droplet formation. Molecular dynamics simulations suggested that the Arg additive interacts with specific residues of FUS, thereby inhibiting the cation-π and electrostatic interactions between the FUS molecules. Second, we observed that Arg polymers promote FUS droplet formation, unlike Arg monomers, by bridging the FUS molecules. Third, we found that the Arg additive suppressed solid aggregate formation of FUS, while Arg polymer enhanced it. Finally, we observed that amyloid-forming peptides induced the conversion of FUS droplets to solid aggregates of FUS. The developed protocol could be used for the primary design of peptides controlling liquid droplets and aggregates of proteins.

Indexed as

Drug DesignProtein AggregatesBinding SitesChemical PhenomenaLipid DropletsMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructurePeptidesProtein Aggregation, PathologicalProtein BindingProtein ConformationRNA-Binding Protein FUSStructure-Activity RelationshipPeptidesProtein AggregatesRNA-Binding Protein FUS

Identifiers

PMID33758287
PMCPMC7988016

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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.