AIMC Topic: ErbB Receptors

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RASPELD to Perform High-End Screening in an Academic Environment toward the Development of Cancer Therapeutics.

ChemMedChem Aug 23, 2018
The identification of compounds for dissecting biological functions and the development of novel drug molecules are central tasks that often require screening campaigns. However, the required architecture is cost- and time-intensive. Herein we descri...
Education, Graduate Kelch-Like ECH-Associated Protein 1 Mutation Drug Evaluation, Preclinical Antineoplastic Agents Biological Assay Ligands ErbB Receptors Protein Binding Protein Kinase Inhibitors Dose-Response Relationship, Drug NF-E2-Related Factor 2 Robotics Small Molecule Libraries Humans
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Identifying epidermal growth factor receptor mutation status in patients with lung adenocarcinoma by three-dimensional convolutional neural networks.

The British journal of radiology Aug 13, 2018
OBJECTIVE:: Genetic phenotype plays a central role in making treatment decisions of lung adenocarcinoma, especially the tyrosine-kinase-inhibitors-sensitive mutations of the epidermal growth factor receptor (EGFR) gene. We constructed three-dimension...
Neural Networks, Computer Tomography, X-Ray Computed Female Sensitivity and Specificity Humans Adenocarcinoma Area Under Curve Male Mutation Imaging, Three-Dimensional ErbB Receptors Image Processing, Computer-Assisted Lung Neoplasms
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Development of Ligand-based Big Data Deep Neural Network Models for Virtual Screening of Large Compound Libraries.

Molecular informatics Jun 8, 2018
High-performance ligand-based virtual screening (VS) models have been developed using various computational methods, including the deep neural network (DNN) method. There are high expectations for exploration of the advanced capabilities of DNN to im...
Drug Discovery Big Data Ligands Databases, Chemical Humans Neural Networks, Computer Molecular Docking Simulation ErbB Receptors Small Molecule Libraries
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Machine learning identifies a core gene set predictive of acquired resistance to EGFR tyrosine kinase inhibitor.

Journal of cancer research and clinical oncology May 25, 2018
PURPOSE: Acquired resistance (AR) to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) is a major issue worldwide, for both patients and healthcare providers. However, precise prediction is currently infeasible due to the lack o...
Cell Line, Tumor Models, Genetic Drug Resistance, Neoplasm ErbB Receptors Reproducibility of Results Neoplasms Transcriptome Protein Kinase Inhibitors Humans Machine Learning Algorithms
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Efficacy according to blind independent central review: Post-hoc analyses from the phase III, randomized, multicenter, IPASS study of first-line gefitinib versus carboplatin/paclitaxel in Asian patients with EGFR mutation-positive advanced NSCLC.

Lung cancer (Amsterdam, Netherlands) Nov 30, 2016
OBJECTIVE: The Phase III, randomized, open-label IPASS study (NCT00322452) of first-line epidermal growth factor receptor tyrosine kinase inhibitor (EGFR TKI) gefitinib versus carboplatin/paclitaxel for Asian patients with advanced non-small-cell lun...
Smoking Randomized Controlled Trials as Topic Lung Neoplasms Aged, 80 and over ErbB Receptors Neoplasm Staging Antineoplastic Combined Chemotherapy Protocols Carboplatin Quinazolines Humans Male Protein Kinase Inhibitors Mutation Adenocarcinoma Paclitaxel Middle Aged Asian People Gefitinib Carcinoma, Non-Small-Cell Lung Female Disease-Free Survival Antineoplastic Agents Aged
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Surface Adsorbed Antibody Characterization Using ToF-SIMS with Principal Component Analysis and Artificial Neural Networks.

Langmuir : the ACS journal of surfaces and colloids Aug 19, 2016
Artificial neural networks (ANNs) form a class of powerful multivariate analysis techniques, yet their routine use in the surface analysis community is limited. Principal component analysis (PCA) is more commonly employed to reduce the dimensionality...
Antibodies Multivariate Analysis ErbB Receptors Immunoglobulin Fragments Spectrometry, Mass, Secondary Ion Animals Adsorption Principal Component Analysis Amino Acids Humans Neural Networks, Computer Immunoglobulin G
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Label-free and dynamic evaluation of cell-surface epidermal growth factor receptor expression via an electrochemiluminescence cytosensor.

Talanta Dec 18, 2015
A label-free electrochemiluminescence (ECL) cytosensor was developed for dynamically evaluating of epidermal growth factor receptor (EGFR) expression on MCF-7 cancer cells based on the specific recognition of epidermal growth factor (EGF) with its re...
Epidermal Growth Factor Gene Expression Regulation Electrochemistry Optical Imaging Quantum Dots ErbB Receptors Humans Cadmium Compounds Gold Biosensing Techniques Flow Cytometry Metal Nanoparticles MCF-7 Cells Sulfides Luminescent Measurements
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Discrimination of driver and passenger mutations in epidermal growth factor receptor in cancer.

Mutation research Jul 20, 2015
Cancer is one of the most life-threatening diseases and mutations in several genes are the vital cause in tumorigenesis. Protein kinases play essential roles in cancer progression and specifically, epidermal growth factor receptor (EGFR) is an import...
Humans Neoplasms Polymorphism, Single Nucleotide Models, Genetic Support Vector Machine ErbB Receptors Mutation, Missense
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Lung cancer prediction using neural network ensemble with histogram of oriented gradient genomic features.

TheScientificWorldJournal Feb 23, 2015
This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles and their "nonensemble" variants for lung cancer prediction. These machine learning classifiers were trained to predict lung c...
Humans Neural Networks, Computer Proto-Oncogene Proteins p21(ras) Carcinoma, Non-Small-Cell Lung Biomarkers, Tumor Mutation Lung Neoplasms Tumor Suppressor Protein p53 Support Vector Machine ErbB Receptors
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Artificial intelligence in predicting EGFR mutations from whole slide images in lung Cancer: A systematic review and Meta-Analysis.

Lung cancer (Amsterdam, Netherlands) Jun 1, 2025
BACKGROUND: Epidermal growth factor receptor (EGFR) mutations play a pivotal role in guiding targeted therapy for lung cancer, making their accurate detection essential for personalized treatment. Recently, artificial intelligence (AI) has emerged as...
Humans Artificial Intelligence Lung Neoplasms Mutation ErbB Receptors
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