ReviewJournal of molecular cell biology2019
Roles of computational modelling in understanding p53 structure, biology, and its therapeutic targeting.
Review in Journal of molecular cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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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.
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Who cites it
17 citing papers in PubMed, 37 citations in OpenAlex.
- Recent Advances on Mutant p53: Unveiling Novel Oncogenic Roles, Degradation Pathways, and Therapeutic Interventions.Biomolecules · 2024Review
- The Role ofBiomedicines · 2024Review
- Reconciling ASPP-p53 binding mode discrepancies through an ensemble binding framework that bridges crystallography and NMR data.PLoS computational biology · 2024Article
- Anti-tumor effect and hepatotoxicity mechanisms of psoralen.Frontiers in pharmacology · 2024Review
- Targeting MDM2-p53 Axis through Drug Repurposing for Cancer Therapy: A Multidisciplinary Approach.ACS omega · 2023Article
- Computational approaches for the design of modulators targeting protein-protein interactions.Expert opinion on drug discovery · 2023Review
- Gain of Function (GOF) Mutant p53 in Cancer-Current Therapeutic Approaches.International journal of molecular sciences · 2022Review
- Structural Basis of Mutation-Dependent p53 Tetramerization Deficiency.International journal of molecular sciences · 2022Article
- Electronic Polarization at the Interface between the p53 Transactivation Domain and Two Binding Partners.The journal of physical chemistry. B · 2022Article
- TP53 in Biology and Treatment of Osteosarcoma.Cancers · 2021Review
- An integrated view of p53 dynamics, function, and reactivation.Current opinion in structural biology · 2021Review
- Computational Modeling as a Tool to Investigate PPI: From Drug Design to Tissue Engineering.Frontiers in molecular biosciences · 2021Review
- Review
- Computational Investigation on the p53-MDM2 Interaction Using the Potential of Mean Force Study.ACS omega · 2020Article
- The Dual Interactions of p53 with MDM2 and p300: Implications for the Design of MDM2 Inhibitors.International journal of molecular sciences · 2019Article
- Down-regulation of microRNA-138 improves immunologic function via negatively targeting p53 by regulating liver macrophage in mice with acute liver failure.Bioscience reports · 2019Article
- p53: updates on mechanisms, biology and therapy (II).Journal of molecular cell biology · 2019Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The transcription factor p53 plays pivotal roles in numerous biological processes, including the suppression of tumours. The rich availability of biophysical data aimed at understanding its structure-function relationships since the 1990s has enabled the application of a variety of computational modelling techniques towards the establishment of mechanistic models. Together they have provided deep insights into the structure, mechanics, energetics, and dynamics of p53. In parallel, the observation that mutations in p53 or changes in its associated pathways characterize several human cancers has resulted in a race to develop therapeutic modulators of p53, some of which have entered clinical trials. This review describes how computational modelling has played key roles in understanding structural-dynamic aspects of p53, formulating hypotheses about domains that are beyond current experimental investigations, and the development of therapeutic molecules that target the p53 pathway.
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What OpenQuestion holds
Registered trials
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.