Multi-Site Aggregation of p53: Insights from Self- and Co-Aggregation of Multiple Aggregation-Prone Regions.

Jing He, Haoxin Sun, Zheng Gong, Xiaoting Wu, Lujun Hong, Tianjing Guo, Jiangtao Lei

Abstract read

In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jing HeDepartment of Physics, School of Physics and Materials Science, Nanchang University, Xuefu Avenue 999, Nanchang 330031, China.

Haoxin SunInstitute of Space Science and Technology, Nanchang University, Xuefu Avenue 999, Nanchang 330031, China.

Zheng GongDepartment of Physics, School of Physics and Materials Science, Nanchang University, Xuefu Avenue 999, Nanchang 330031, China.

Xiaoting WuDepartment of Physics, School of Physics and Materials Science, Nanchang University, Xuefu Avenue 999, Nanchang 330031, China.

Lujun HongInstitute of Space Science and Technology, Nanchang University, Xuefu Avenue 999, Nanchang 330031, China.ORCID https://orcid.org/0000-0002-4949-1483

Tianjing GuoInstitute of Space Science and Technology, Nanchang University, Xuefu Avenue 999, Nanchang 330031, China.ORCID https://orcid.org/0000-0001-8495-0051

Jiangtao LeiDepartment of Physics, School of Physics and Materials Science, Nanchang University, Xuefu Avenue 999, Nanchang 330031, China.ORCID https://orcid.org/0000-0002-1340-6259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyloid-like aggregation of p53 leads to the loss of its tumor suppressor function and the acquisition of direct oncogenic properties, thereby promoting cancer progression. Studies have shown that mutations in p53 cause the exposure of multiple aggregation-prone regions (APRs), which can initiate multisite aggregation. Understanding the aggregation patterns of these APRs is crucial for elucidating the molecular mechanisms of p53 aggregation pathology. Here, we employed all-atom and coarse-grain molecular dynamics (MD) simulations to investigate self- and coaggregation behaviors of four p53 aggregation-prone fragments:

Identifiers

PMID42626249

DOI10.1021/acsomega.6c01899

PMCPMC13491877

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LicenceCC BY-NC-ND

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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.