AIMC Topic: Tumor Suppressor Protein p53
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AI-based histopathology image analysis reveals a distinct subset of endometrial cancers.
Nature communications
Jun 26, 2024
Endometrial cancer (EC) has four molecular subtypes with strong prognostic value and therapeutic implications. The most common subtype (NSMP; No Specific Molecular Profile) is assigned after exclusion of the defining features of the other three molec...
Machine learning analysis of gene expression reveals TP53 Mutant-like AML with wild type TP53 and poor prognosis.
Blood cancer journal
May 14, 2024
Exploring the NRF2-TP53 Signaling Network Through Machine Learning and Pan-Cancer Analysis: Identifying Potential targets for Cancer Prognosis Related to Oxidative Stress.
Advanced biology
Mar 22, 2024
Oxidative stress (OXS) is closely related to tumor prognosis and immune response, while TP53 integrated with NRF2 is closely associated with the regulation of cancer-related OXS. Hence, constructing a TP53-NRF2 integrated OXS signature of pan-cancer ...
PMSPcnn: Predicting protein stability changes upon single point mutations with convolutional neural network.
Structure (London, England : 1993)
Mar 19, 2024
Protein missense mutations and resulting protein stability changes are important causes for many human genetic diseases. However, the accurate prediction of stability changes due to mutations remains a challenging problem. To address this problem, we...
Artificial Intelligence Based Study Association between p53 Gene Polymorphism and Endometriosis: A Systematic Review and Meta-analysis.
Computational intelligence and neuroscience
Nov 18, 2022
BACKGROUND: The P53 gene is critical to the onset and progression of cancers. Currently, relevant study findings indicate that the p53 gene may have a strong association with the risk of endometriosis, but these findings have not been united. To gath...
Image-based deep learning identifies glioblastoma risk groups with genomic and transcriptomic heterogeneity: a multi-center study.
European radiology
Aug 24, 2022
OBJECTIVES: To develop and validate a deep learning imaging signature (DLIS) for risk stratification in patients with multiforme (GBM), and to investigate the biological pathways and genetic alterations underlying the DLIS.
A deep learning method for predicting molecular properties and compound-protein interactions.
Journal of molecular graphics & modelling
Aug 17, 2022
Predicting molecular properties and compound-protein interactions (CPIs) are two important areas of drug design and discovery. They are also an essential way to discover lead compounds in virtual screening. Recently, in silico methods based on deep l...
A computer-aided drug design approach to discover tumour suppressor p53 protein activators for colorectal cancer therapy.
Bioorganic & medicinal chemistry
Nov 27, 2021
Colorectal cancer (CRC) is the third most detected cancer and the second foremost cause of cancer deaths in the world. Intervention targeting p53 provides potential therapeutic strategies, but thus far no p53-based therapy has been successfully trans...
Structure-Activity Relationship
Molecular Structure
Tumor Suppressor Protein p53
Dihydroergotoxine
Dose-Response Relationship, Drug
Cell Survival
Drug Screening Assays, Antitumor
Antineoplastic Agents
Cell Line, Tumor
Colorectal Neoplasms
Humans
Molecular Docking Simulation
Machine Learning
Drug Discovery
Cell Proliferation
Biologically informed deep neural network for prostate cancer discovery.
Nature
Sep 22, 2021
The determination of molecular features that mediate clinically aggressive phenotypes in prostate cancer remains a major biological and clinical challenge. Recent advances in interpretability of machine learning models as applied to biomedical proble...
Combined Spiral Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer.
IEEE transactions on medical imaging
Feb 2, 2021
Pancreatic cancer is a malignant form of cancer with one of the worst prognoses. The poor prognosis and resistance to therapeutic modalities have been linked to TP53 mutation. Pathological examinations, such as biopsies, cannot be frequently performe...
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