AIMC Topic: Tyrosine Kinase Inhibitors

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kinCSM-RTK: Machine Learning-Based Screening of Receptor Tyrosine Kinase Inhibitors in Drug Discovery.

Journal of chemical information and modeling Dec 21, 2025
Receptor tyrosine kinases (RTKs) are key regulators of cellular functions, such as differentiation, migration and proliferation. Dysregulated RTK activity contributes to various diseases, including neurological disorders and cancer, for which small m...
Humans Protein Kinase Inhibitors Receptor Protein-Tyrosine Kinases Tyrosine Kinase Inhibitors Machine Learning Drug Discovery Drug Evaluation, Preclinical
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Artificial intelligence-powered spatial analysis of tumor microenvironment in patients with non-small cell lung cancer with acquired resistance to EGFR tyrosine kinase inhibitor.

Journal for immunotherapy of cancer Oct 31, 2025
PURPOSE: This study evaluated the dynamic changes in the tumor microenvironment (TME) in patients with non-small cell lung cancer (NSCLC) and acquired resistance to epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) using an ar...
Protein Kinase Inhibitors Tyrosine Kinase Inhibitors Drug Resistance, Neoplasm ErbB Receptors Tumor Microenvironment Artificial Intelligence Humans Male Female Lung Neoplasms Middle Aged Aged Antineoplastic Combined Chemotherapy Protocols Carcinoma, Non-Small-Cell Lung
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Neddylation status determines the therapeutic sensitivity of tyrosine kinase inhibitors in chronic myeloid leukemia.

Scientific reports May 30, 2025
BCR::ABL1-targeting tyrosine kinase inhibitors (TKIs) dominate the treatment of chronic myeloid leukemia (CML) over the past decades. In this study, we reported an unexpected role of neddylation inhibitors in desensitizing the therapeutic efficacy of...
Animals Cell Line, Tumor Mice Humans Fusion Proteins, bcr-abl Leukemia, Myelogenous, Chronic, BCR-ABL Positive Tyrosine Kinase Inhibitors Protein Processing, Post-Translational Drug Resistance, Neoplasm Protein Kinase Inhibitors NEDD8 Protein
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A deep-learning model for predicting tyrosine kinase inhibitor response from histology in gastrointestinal stromal tumor.

The Journal of pathology Feb 14, 2025
Over 90% of gastrointestinal stromal tumors (GISTs) harbor mutations in KIT or PDGFRA that can predict response to tyrosine kinase inhibitor (TKI) therapies, as recommended by NCCN (National Comprehensive Cancer Network) guidelines. However, gene seq...
Receptor, Platelet-Derived Growth Factor alpha Pyrazoles Protein Kinase Inhibitors Pyrroles Gastrointestinal Neoplasms Triazines Gastrointestinal Stromal Tumors Proto-Oncogene Proteins c-kit Imatinib Mesylate Tyrosine Kinase Inhibitors Treatment Outcome Mutation Humans Female Aged Male Middle Aged Deep Learning
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Deep learning-based CT radiomics predicts prognosis of unresectable hepatocellular carcinoma treated with TACE-HAIC combined with PD-1 inhibitors and tyrosine kinase inhibitors.

BMC gastroenterology Jan 21, 2025
OBJECTIVE: To develop and validate a computed tomography (CT)-based deep learning radiomics model to predict treatment response and progression-free survival (PFS) in patients with unresectable hepatocellular carcinoma (uHCC) treated with transarteri...
Male Middle Aged Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Immune Checkpoint Inhibitors Aged Adult Radiomics Tomography, X-Ray Computed Chemoembolization, Therapeutic Female Humans Protein Kinase Inhibitors Antineoplastic Combined Chemotherapy Protocols Tyrosine Kinase Inhibitors Prognosis Combined Modality Therapy Retrospective Studies
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Machine learning-based classification models for non-covalent Bruton's tyrosine kinase inhibitors: predictive ability and interpretability.

Molecular diversity Jul 21, 2023
In this study, we built classification models using machine learning techniques to predict the bioactivity of non-covalent inhibitors of Bruton's tyrosine kinase (BTK) and to provide interpretable and transparent explanations for these predictions. T...
Machine Learning Algorithms Support Vector Machine Humans Neural Networks, Computer Protein Kinase Inhibitors Agammaglobulinaemia Tyrosine Kinase Tyrosine Kinase Inhibitors
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A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer.

Cancer imaging : the official publication of the International Cancer Imaging Society Jan 20, 2023
BACKGROUND: The epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are a first-line therapy for non-small cell lung cancer (NSCLC) with EGFR mutations. Approximately half of the patients with EGFR-mutated NSCLC are treated with...
Progression-Free Survival Humans Disease-Free Survival Deep Learning ErbB Receptors Lung Neoplasms Protein Kinase Inhibitors Tyrosine Kinase Inhibitors Carcinoma, Non-Small-Cell Lung Mutation
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