AIMC Topic: A549 Cells
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Optimization of biological activities of Agaricus species: an artificial intelligence-assisted approach.
Scientific reports
Jul 2, 2025
This study aims to determine the optimum extraction conditions that maximize the biological activities of Agaricus campestris and Agaricus bisporus species. In the study, a total of 64 extraction experiments were carried out at different temperatures...
Mechanistic study of Lonicerae Japonicae Flos (Caprifoliaceae) in non-small cell lung cancer prevention and treatment through integrative pharmacology, multi-machine learning, artificial intelligence, and in vitro experiments.
Journal of ethnopharmacology
Apr 17, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: Lonicerae Japonicae Flos (Caprifoliaceae) (LJF), an herb with the homology of medicine and food, is traditionally utilized for its heat-clearing, detoxifying, and anticancer properties. Yet, the mechanism by which LJF ...
Extract optimization and biological activities of Otidea onotica using Artificial Neural Network-Genetic Algorithm and response surface methodology techniques.
BMC biotechnology
Mar 28, 2025
In this study, the biological activities of Otidea onotica were investigated using two optimization methods, Response Surface Methodology (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA). The extracts were tested for phenolic content, a...
Bioactivity of Juglans regia kernel extracts optimized using response surface method and artificial neural Network-Genetic algorithm integration.
Scientific reports
Mar 15, 2025
In this study, the biological activities of the extracts obtained under optimum extraction conditions of the kernel part of Juglans regia L. were determined. Two different methods, Response Surface Method (RSM) and Artificial Neural Network-Genetic A...
CPHNet: a novel pipeline for anti-HAPE drug screening via deep learning-based Cell Painting scoring.
Respiratory research
Mar 8, 2025
BACKGROUND: High altitude pulmonary edema (HAPE) poses a significant medical challenge to individuals ascending rapidly to high altitudes. Hypoxia-induced cellular morphological changes in the alveolar-capillary barrier such as mitochondrial structur...
Integrating necroptosis into pan-cancer immunotherapy: a new era of personalized treatment.
Frontiers in immunology
Dec 9, 2024
INTRODUCTION: Necroptosis has emerged as a promising biomarker for predicting immunotherapy responses across various cancer types. Its role in modulating immune activation and therapeutic outcomes offers potential for precision oncology.
PTransIPs: Identification of Phosphorylation Sites Enhanced by Protein PLM Embeddings.
IEEE journal of biomedical and health informatics
Jun 6, 2024
Phosphorylation is pivotal in numerous fundamental cellular processes and plays a significant role in the onset and progression of various diseases. The accurate identification of these phosphorylation sites is crucial for unraveling the molecular me...
scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics.
Nature communications
Jun 22, 2021
Single-cell omics is the fastest-growing type of genomics data in the literature and public genomics repositories. Leveraging the growing repository of labeled datasets and transferring labels from existing datasets to newly generated datasets will e...
Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network.
Nature communications
Jun 2, 2021
Using the Cap Analysis of Gene Expression (CAGE) technology, the FANTOM5 consortium provided one of the most comprehensive maps of transcription start sites (TSSs) in several species. Strikingly, ~72% of them could not be assigned to a specific gene ...
Humans
Genome, Human
Neural Networks, Computer
Polymorphism, Genetic
Microsatellite Repeats
A549 Cells
Animals
Promoter Regions, Genetic
Transcription Initiation Site
Neurodegenerative Diseases
Enhancer Elements, Genetic
Deep Learning
Transcription Initiation, Genetic
High-Throughput Nucleotide Sequencing
Mice
Base Sequence
Computational Biology
Prediction of Anticancer Peptides with High Efficacy and Low Toxicity by Hybrid Model Based on 3D Structure of Peptides.
International journal of molecular sciences
May 26, 2021
Recently, anticancer peptides (ACPs) have emerged as unique and promising therapeutic agents for cancer treatment compared with antibody and small molecule drugs. In addition to experimental methods of ACPs discovery, it is also necessary to develop ...
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