AIMC Topic: ErbB Receptors

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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.
Humans Female Breast Neoplasms Gene Regulatory Networks Support Vector Machine Lipocalin-2 ErbB Receptors ras Proteins Genes, Neoplasm Proto-Oncogene Proteins c-fos ZAP-70 Protein-Tyrosine Kinase bcl-2 Homologous Antagonist-Killer Protein
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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...
Humans Software Support Vector Machine Molecular Structure ErbB Receptors Binding Sites Substrate Specificity Computing Methodologies
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