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ErbB Receptors

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TMLRpred: A machine learning classification model to distinguish reversible EGFR double mutant inhibitors.

Chemical biology & drug design Sep 1, 2020
The EGFR is a clinically important therapeutic drug target in lung cancer. The first-generation tyrosine kinase inhibitors used in clinics are effective against L858R-mutated EGFR. However, relapse of the disease due to the presence of resistant muta...
Humans Mutation Datasets as Topic ErbB Receptors Machine Learning Models, Theoretical
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Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

Molecular imaging and biology Aug 1, 2020
PURPOSE: Considerable progress has been made in the assessment and management of non-small cell lung cancer (NSCLC) patients based on mutation status in the epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene (KRAS). At the...
Humans Machine Learning Algorithms Carcinoma, Non-Small-Cell Lung ErbB Receptors Multimodal Imaging Proto-Oncogene Proteins p21(ras) Mutation Female Lung Neoplasms Area Under Curve Male Positron-Emission Tomography High-Throughput Nucleotide Sequencing Genomics Aged Multivariate Analysis
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[Prediction of gene mutation in lung cancer based on deep learning and histomorphology analysis].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2020
Lung cancer is a most common malignant tumor of the lung and is the cancer with the highest morbidity and mortality worldwide. For patients with advanced non-small cell lung cancer who have undergone epidermal growth factor receptor (EGFR) gene mutat...
Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans Mutation ErbB Receptors
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Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

JCO clinical cancer informatics May 1, 2019
PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic lymphoma kinase () mutation tests. To facilitate population-based research in molecularly defined subgroups of non-small-cell lung cancer (NSCLC), we...
Anaplastic Lymphoma Kinase Genetic Testing SEER Program Kentucky ErbB Receptors DNA Mutational Analysis Mutation Registries Adult Population Surveillance Male Natural Language Processing Humans Lung Neoplasms Female Middle Aged Reproducibility of Results Carcinoma, Non-Small-Cell Lung Machine Learning Aged Algorithms
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KAI1/CD82, Metastasis Suppressor Gene as a Therapeutic Target for Non-Small-Cell Lung Carcinoma.

Journal of environmental pathology, toxicology and oncology : official organ of the International Society for Environmental Toxicology and Cancer Jan 1, 2017
Lung cancer is the most frequent malignancy and the leading cause of cancer-related death worldwide; it is the second most common cancer, comprising 1.69 million deaths worldwide per year. Among these, 85% of lung cancers are non-small-cell lung carc...
Wnt Signaling Pathway Genes, Tumor Suppressor Carcinoma, Non-Small-Cell Lung Humans Genes, p53 ErbB Receptors Lung Neoplasms Kangai-1 Protein
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Structural Comparison of Gene Relevance Networks for Breast Cancer Tissues in Different Grades.

Combinatorial chemistry & high throughput screening Jan 1, 2016
BACKGROUND: The breast is an important biological system of human with two distinct states, i.e. normal and tumoral. Research on breast cancer could be based on systematic modeling to contrast the system structures of these two states.
bcl-2 Homologous Antagonist-Killer Protein Gene Regulatory Networks Support Vector Machine Genes, Neoplasm Humans ErbB Receptors Female Proto-Oncogene Proteins c-fos Lipocalin-2 Breast Neoplasms ras Proteins ZAP-70 Protein-Tyrosine Kinase
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Self-Organizing Map (SOM) and Support Vector Machine (SVM) Models for the Prediction of Human Epidermal Growth Factor Receptor (EGFR/ ErbB-1) Inhibitors.

Combinatorial chemistry & high throughput screening Jan 1, 2016
EGFR (ErbB-1/HER1) kinase plays an important role in cancer therapy. Two classification models were established to predict whether a compound is an inhibitor or a decoy of human EGFR (ErbR-1) by using Kohonen's self-organizing map (SOM) and support v...
ErbB Receptors Binding Sites Software Computing Methodologies Substrate Specificity Humans Support Vector Machine Molecular Structure
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