AIMC Topic: Proto-Oncogene Proteins c-akt
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In-silico investigation integrated with machine learning to identify potential inhibitors targeting AKT2: Key driver of cancer cell progression and metastasis.
Computer methods and programs in biomedicine
Apr 18, 2025
BACKGROUND AND OBJECTIVE: In search of a key driver for the invasive growth of cancer metastasis, AKT2 is found to be exceptionally expressed in colorectal cancer and its metastasis. Again, exceeding genomic arrangements of AKT2 can be held responsib...
Unveiling key drivers of hepatocellular carcinoma: a synergistic approach with network pharmacology, machine learning-driven ligand discovery and dynamic simulations.
SAR and QSAR in environmental research
Jan 3, 2025
Hepatocellular carcinoma (HCC) ranks fourth in cancer-related mortality worldwide. This study aims to uncover the genes and pathways involved in HCC through network pharmacology (NP) and to discover potential drugs via machine learning (ML)-based lig...
Integrating machine learning and high throughput screening for the discovery of allosteric AKT1 inhibitors.
Journal of biomolecular structure & dynamics
Dec 14, 2023
Evidence from clinical and experimental investigations reveals the role of AKT in oral cancer, which has led to the development of therapeutic and pharmacological medications for inhibiting AKT protein. Despite prodigious effort, researchers are sear...
The water-soluble subfraction from Artemisia argyi alleviates LPS-induced inflammatory responses via multiple pathways and targets in vitro and in vivo.
Journal of ethnopharmacology
Oct 28, 2023
ETHNOPHARMACOLOGICAL RELEVANCE: As a traditional Chinese medicine, Artemisia argyi has been used medicinally and eaten for more than 2000 years in China. It is widely reported in treating inflammatory diseases such as eczema, dermatitis, arthritis, a...
The antidiabetic drug pioglitazone ameliorates betel-nut-induced carcinogenesis in mice by restoring normal lipid metabolism, reducing oxidative stress, and inducing apoptosis.
Journal of cancer research and therapeutics
Apr 27, 2023
CONTEXT: Oral administration (2 mg mL-1) of aqueous extract of betel nut (AEBN) for 24 weeks induced oncogenic alterations in the liver of female Swiss Albino mice concomitant with aberrant lipid metabolism, overactivation of Akt/mTOR signaling, and ...
Exploring the Study of miR-1301 Inhibiting the Proliferation and Migration of Squamous Cell Carcinoma YD-38 Cells through PI3K/AKT Pathway under Deep Learning Medical Images.
Computational intelligence and neuroscience
Feb 10, 2022
With the rapid development and application of deep learning medical image recognition, natural language processing, and other fields, at the same time, deep learning has become the most popular research direction in the field of image processing and ...
Deep learning-driven scaffold hopping in the discovery of Akt kinase inhibitors.
Chemical communications (Cambridge, England)
Oct 12, 2021
Scaffold hopping has been widely used in drug discovery and is a topic of high interest. Here a deep conditional transformer neural network, SyntaLinker, was applied for the scaffold hopping of a phase III clinical Akt inhibitor, AZD5363. A number of...
A risk prediction model of gene signatures in ovarian cancer through bagging of GA-XGBoost models.
Journal of advanced research
Nov 11, 2020
INTRODUCTION: Ovarian cancer (OC) is one of the most frequent gynecologic cancers among women, and high-accuracy risk prediction techniques are essential to effectively select the best intervention strategies and clinical management for OC patients a...
Single-cell transcriptome reveals the novel role of T-bet in suppressing the immature NK gene signature.
eLife
May 14, 2020
The transcriptional activation and repression during NK cell ontology are poorly understood. Here, using single-cell RNA-sequencing, we reveal a novel role for T-bet in suppressing the immature gene signature during murine NK cell development. Based ...
Mechanistic Target of Rapamycin Complex 2
Rapamycin-Insensitive Companion of mTOR Protein
Regulatory-Associated Protein of mTOR
T-Box Domain Proteins
T-bet Transcription Factor
Bone Marrow Cells
Gene Expression Regulation
Killer Cells, Natural
Forkhead Box Protein O1
Cluster Analysis
Mice, Inbred C57BL
Mice, Knockout
Proto-Oncogene Proteins c-akt
Machine Learning
Phenotype
Animals
Single-Cell Analysis
RNA-Seq
Gene Expression Profiling
Genotype
Transcriptome
Recognition of early and late stages of bladder cancer using metabolites and machine learning.
Metabolomics : Official journal of the Metabolomic Society
Jun 20, 2019
INTRODUCTION: Bladder cancer (BCa) is one of the most common and aggressive cancers. It is the sixth most frequently occurring cancer in men and its rate of occurrence increases with age. The current method of BCa diagnosis includes a cystoscopy and ...
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