AIMC Topic: Class I Phosphatidylinositol 3-Kinases

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A computational study of cardiac glycosides from Vernonia amygdalina as PI3K inhibitors for targeting HER2 positive breast cancer.

Journal of computer-aided molecular design Jul 6, 2025
The PI3K/Akt pathway plays a crucial role in regulating a broad network of proteins involved in the proliferation of HER2-positive breast cancer. The ethyl acetate fraction of Vernonia amygdalina, which contains cardiac glycosides, has been shown to ...
Humans Machine Learning Female Breast Neoplasms Molecular Docking Simulation Class I Phosphatidylinositol 3-Kinases Phosphatidylinositol 3-Kinases Molecular Dynamics Simulation Receptor, ErbB-2 Quantitative Structure-Activity Relationship Protein Kinase Inhibitors Phosphoinositide-3 Kinase Inhibitors Cardiac Glycosides
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Piloting an automated query and scoring system to facilitate APDS patient identification from health systems.

Frontiers in immunology Jan 21, 2025
INTRODUCTION: Patients with activated PI3Kδ syndrome (APDS) may elude diagnoses for nearly a decade. Methods to hasten the identification of these patients, and other patients with inborn errors of immunity (IEIs), are needed. We sought to demonstrat...
Humans Electronic Health Records Primary Immunodeficiency Diseases Class I Phosphatidylinositol 3-Kinases
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A deep learning-based theoretical protocol to identify potentially isoform-selective PI3Kα inhibitors.

Molecular diversity Feb 2, 2024
Phosphoinositide 3-kinase alpha (PI3Kα) is one of the most frequently dysregulated kinases known for their pivotal role in many oncogenic diseases. While the side effects linked to existing drugs against PI3Kα-induced cancers provide an avenue for fu...
Humans Molecular Docking Simulation Drug Design Deep Learning Protein Binding Class I Phosphatidylinositol 3-Kinases Phosphatidylinositol 3-Kinases Ligands Protein Kinase Inhibitors Phosphoinositide-3 Kinase Inhibitors
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Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study.

Cell reports. Medicine Mar 22, 2023
Deep learning (DL) can predict microsatellite instability (MSI) from routine histopathology slides of colorectal cancer (CRC). However, it is unclear whether DL can also predict other biomarkers with high performance and whether DL predictions genera...
Humans Biomarkers Retrospective Studies Colorectal Neoplasms Deep Learning Class I Phosphatidylinositol 3-Kinases Microsatellite Instability Proto-Oncogene Proteins p21(ras) Proto-Oncogene Proteins B-raf
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