Evidence map›Paper›PMID 41169569›Full record

ArticleJACS Au2025

Stoichiometry-Controlled Structural Transformation of Diphenylalanine Nanoassemblies through Coassembly with Charged Dipeptides.

Yiming Tang, Zhongyuan Yang, Junli Yang, Jiyuan Zeng, Yuan Tan, Yifei Yao, Wei Ji, Ehud Gazit, Guanghong Wei

Abstract read
In one paragraph

Article in JACS Au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Yiming TangDepartment of Physics, State Key Laboratory of Surface Physics, and Key Laboratory for Computational Physical Science (Ministry of Education), Fudan University, Shanghai 200433, P. R. China.ORCID https://orcid.org/0000-0002-2976-5547
Zhongyuan YangDepartment of Physics, State Key Laboratory of Surface Physics, and Key Laboratory for Computational Physical Science (Ministry of Education), Fudan University, Shanghai 200433, P. R. China.ORCID https://orcid.org/0000-0003-1686-6979
Junli YangKey Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, P. R. China.
Jiyuan ZengDepartment of Physics, State Key Laboratory of Surface Physics, and Key Laboratory for Computational Physical Science (Ministry of Education), Fudan University, Shanghai 200433, P. R. China.
Yuan TanDepartment of Physics, State Key Laboratory of Surface Physics, and Key Laboratory for Computational Physical Science (Ministry of Education), Fudan University, Shanghai 200433, P. R. China.
Yifei YaoDepartment of Physics, State Key Laboratory of Surface Physics, and Key Laboratory for Computational Physical Science (Ministry of Education), Fudan University, Shanghai 200433, P. R. China.
Wei JiKey Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, P. R. China.ORCID https://orcid.org/0000-0001-8982-5460
Ehud GazitSchool of Molecular Cell Biology and Biotechnology, George S. Wise Faculty of Life Sciences, Department of Materials Science and Engineering, Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID https://orcid.org/0000-0001-5764-1720
Guanghong WeiDepartment of Physics, State Key Laboratory of Surface Physics, and Key Laboratory for Computational Physical Science (Ministry of Education), Fudan University, Shanghai 200433, P. R. China.ORCID https://orcid.org/0000-0001-5814-3328

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peptide self-assembly produces a wide range of well-structured nanostructures, offering significant potential for biomedical and nanotechnological applications. However, controlling the morphologies of these assemblies is considerably challenging due to their intricate polymorphisms and complex responsiveness to environmental changes. In this study, we present a stoichiometry-controlled strategy to finely tune the morphology of supramolecular nanostructures by coassembling diphenylalanine (FF) with charged aromatic dipeptides. Diverse nanostructures including one-dimensional nanotubes, two-dimensional planar sheets, and three-dimensional nanovesicles are obtained by varying the ratio of two peptide building blocks. These structures are predicted by coarse-grained simulations, subsequently validated for stability by all-atom simulations, and further confirmed by experiments. Notably, planar sheets, rarely seen in FF self-assembly, emerge frequently when coassembling FF with high ratios of charged dipeptides. Interaction analysis reveals that the formation of these diverse nanostructures is driven by aromatic stacking and modulated by the strength of electrostatic repulsion. Remarkably, pH-responsive environments induce transformations between nanovesicles and planar sheets, underscoring their potential for biomedical applications. This study underscores the potential of a stoichiometry-controlled strategy to design multidimensional nanostructures with tunable morphologies, offering significant promise for nanomedicine applications, such as precision-targeted drug delivery systems.

Indexed as

Diphenylalanine nanoassembliesDrug deliveryMorphology controlMultiscale simulationPeptide coassembly

Identifiers

PMID41169569
PMCPMC12569661

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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.