AIMC Topic: Cell Proliferation

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Machine learning-based identification of cuproptosis-related lncRNA biomarkers in diffuse large B-cell lymphoma.

Cell biology and toxicology Apr 21, 2025
Multiple machine learning techniques were employed to identify key long non-coding RNA (lncRNA) biomarkers associated with cuproptosis in Diffuse Large B-Cell Lymphoma (DLBCL). Data from the TCGA and GEO databases facilitated the identification of 12...
RNA, Long Noncoding Lymphoma, Large B-Cell, Diffuse Cell Line, Tumor Gene Expression Regulation, Neoplastic Cell Proliferation Machine Learning Prognosis Humans Biomarkers, Tumor
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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 ...
Lung Neoplasms Plant Extracts Cell Proliferation Artificial Intelligence Antineoplastic Agents, Phytogenic Carcinoma, Non-Small-Cell Lung Machine Learning A549 Cells Molecular Docking Simulation Network Pharmacology Cell Line, Tumor Lonicera Humans
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Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks.

Pharmaceutical research Apr 17, 2025
OBJECTIVE: Quantitative systems pharmacology (QSP) is widely used to assess drug effects and toxicity before the drug goes to clinical trial. However, significant manual distillation of the literature is needed in order to construct a QSP model. Para...
Humans Neural Networks, Computer Neoplasms Antineoplastic Agents Cell Proliferation Models, Biological Doxorubicin
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Comprehensive analysis of scRNA-seq and bulk RNA-seq data via machine learning and bioinformatics reveals the role of lysine metabolism-related genes in gastric carcinogenesis.

BMC cancer Apr 9, 2025
BACKGROUND: Gastric cancer (GC) is a highly aggressive and heterogeneous cancer with extremely complex biological characteristics. Lysine and its metabolism are closely related to human cancer, but little is known about how lysine metabolism-related ...
Biomarkers, Tumor Cell Line, Tumor Single-Cell Analysis RNA-Seq Humans Machine Learning Prognosis Stomach Neoplasms Gene Expression Regulation, Neoplastic Nomograms Cell Proliferation Carcinogenesis Gene Regulatory Networks Single-Cell Gene Expression Analysis Computational Biology Sequence Analysis, RNA Vimentin Lysine
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Identification and validation of HOXC6 as a diagnostic biomarker for Ewing sarcoma: insights from machine learning algorithms and experiments.

Frontiers in immunology Apr 4, 2025
INTRODUCTION: Early diagnosis of Ewing sarcoma (ES) is critical for improving patient prognosis. However, the accurate diagnosis of ES remains challenging, underscoring the need for novel diagnostic biomarkers to enhance diagnostic precision and reli...
Cell Proliferation Cell Movement Bone Neoplasms Homeodomain Proteins Sarcoma, Ewing Biomarkers, Tumor Humans Gene Expression Profiling Machine Learning Cell Line, Tumor Reproducibility of Results Gene Expression Regulation, Neoplastic
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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...
Cholinesterase Inhibitors Cell Proliferation Phenols A549 Cells Algorithms Cell Line, Tumor Antioxidants Plant Extracts Humans Neural Networks, Computer
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Discovery and characterization of novel FAK inhibitors for breast cancer therapy via hybrid virtual screening, biological evaluation and molecular dynamics simulations.

Bioorganic chemistry Mar 26, 2025
Focal adhesion kinase (FAK) is a critical drug target implicated in various disease pathways, including hematological malignancies and breast cancer. Therefore, identifying FAK inhibitors with novel scaffolds could offer new opportunities for develop...
Drug Discovery Antineoplastic Agents Cell Proliferation Dose-Response Relationship, Drug Humans Female Breast Neoplasms Molecular Docking Simulation Drug Evaluation, Preclinical Protein Kinase Inhibitors Focal Adhesion Kinase 1 Focal Adhesion Protein-Tyrosine Kinases Drug Screening Assays, Antitumor Structure-Activity Relationship Molecular Structure Molecular Dynamics Simulation
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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...
Antioxidants Plant Extracts Cell Proliferation Phenols A549 Cells Tandem Mass Spectrometry Acetylcholinesterase Cholinesterase Inhibitors Humans Neural Networks, Computer Algorithms Juglans Butyrylcholinesterase Genetic Algorithms
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Machine learning analysis identified NNMT as a potential therapeutic target for hepatocellular carcinoma based on PCD-related genes.

Scientific reports Mar 3, 2025
Programmed cell death (PCD) plays a critical role in cancer biology, influencing tumor progression and treatment response. This study aims to investigate the role of PCD-related genes in hepatocellular carcinoma (HCC), identifying potential prognosti...
Male Gene Expression Profiling Liver Neoplasms Carcinoma, Hepatocellular Gene Expression Regulation, Neoplastic Machine Learning Cell Proliferation Prognosis Apoptosis Female Humans Biomarkers, Tumor
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Big data analysis and machine learning of the role of cuproptosis-related long non-coding RNAs (CuLncs) in the prognosis and immune landscape of ovarian cancer.

Frontiers in immunology Feb 25, 2025
BACKGROUND: Ovarian cancer (OC) is a severe malignant tumor with a significant threat to women's health, characterized by a high mortality rate and poor prognosis despite conventional treatments such as cytoreductive surgery and platinum-based chemot...
Cell Line, Tumor Humans Gene Expression Regulation, Neoplastic Machine Learning Female RNA, Long Noncoding Prognosis Cell Proliferation Biomarkers, Tumor Ovarian Neoplasms Cell Movement Middle Aged Big Data
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