Evidence map›Paper›PMID 36499604›Full record

ArticleInternational journal of molecular sciences2022

Complete Models of p53 Better Inform the Impact of Hotspot Mutations.

Maria J Solares, Deborah F Kelly

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. 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. Article
  2. Article
  3. Molecular Insights into Macromolecules Structure, Function, and Regulation.International journal of molecular sciences · 2024
    Article
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

2 authors.

Maria J SolaresMolecular, Cellular, and Integrative Biosciences Graduate Program, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802, USA.
Deborah F KellyDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0002-7341-7435

Funding

Multi-scale imaging of breast cancer proteins during DNA repairR01CA219700 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI KELLY, DEBORAH F · 2018 to 2022
$2.1M
Hot Spot Analysis of the Breast Cancer Susceptibility ProteinR01CA227261 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI KELLY, DEBORAH F · 2018 to 2022
$2.0M
Tunable Microchip Sorting of BRCA1 Nuclear AssembliesR01CA193578 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI KELLY, DEBORAH F · 2015 to 2020
$1.8M
NIH HHS R01CA193578NIH HHS R01CA219700NIH HHS R01CA227261
6 · The paper itself

Abstract

Mutations in tumor suppressor genes often lead to cancerous phenotypes. Current treatments leverage signaling pathways that are often compromised by disease-derived deficiencies in tumor suppressors. P53 falls into this category as genetic mutations lead to physical changes in the protein that impact multiple cellular pathways. Here, we show the first complete structural models of mutated p53 to reveal how hotspot mutations physically deviate from the wild-type protein. We employed a recently determined structure for the p53 monomer to map seven frequent clinical mutations using computational modeling approaches. Results showed that missense mutations often changed the conformational structure of p53 in the DNA-binding site along with its electrostatic surface charges. We posit these changes may amplify the toxic effects of these hotspot mutations by destabilizing an important zinc ion coordination region in p53 to impede proper DNA interactions. These results highlight the imperative need for new studies on patient-derived proteins that may assist in redesigning structure-informed targeted therapies.

Indexed as

NeoplasmsTumor Suppressor Protein p53DNADNA-Binding ProteinsGenes, p53HumansMutationDNADNA-Binding ProteinsTumor Suppressor Protein p53apoptosiscancerDNA repairmolecular modelingp53tumor suppressor

Identifiers

PMID36499604
PMCPMC9740296

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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.