AIMC Topic: Proto-Oncogene Proteins p21(ras)

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Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer.

International journal of molecular sciences Aug 26, 2021
Early identification of epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations is crucial for selecting a therapeutic strategy for patients with non-small-cell lung cancer (NSCLC). We proposed a machin...
Humans Machine Learning Algorithms Aged Aged, 80 and over Male Middle Aged Biomarkers Tomography, X-Ray Computed Female Reproducibility of Results Proto-Oncogene Proteins p21(ras) Neoplasm Staging Mutation Supervised Machine Learning ErbB Receptors ROC Curve Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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Artificial Intelligence-Assisted Amphiregulin and Epiregulin IHC Predicts Panitumumab Benefit in Wild-Type Metastatic Colorectal Cancer.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 22, 2021
PURPOSE: High tumor mRNA levels of the EGFR ligands amphiregulin (AREG) and epiregulin (EREG) are associated with anti-EGFR agent response in metastatic colorectal cancer (mCRC). However, ligand RNA assays have not been adopted into routine practice ...
Panitumumab Proto-Oncogene Proteins p21(ras) Amphiregulin Epiregulin Humans Artificial Intelligence Colorectal Neoplasms Antineoplastic Combined Chemotherapy Protocols ErbB Receptors
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Bringing Structural Implications and Deep Learning-Based Drug Identification for Mutants.

Journal of chemical information and modeling Jan 29, 2021
Colorectal cancer is considered one of the leading causes of death that is linked with the Kirsten Rat Sarcoma () harboring codons 13 and 61 mutations. The objective for this study is to search for clinically important codon 61 mutations and analyze ...
Molecular Dynamics Simulation Codon Proto-Oncogene Proteins p21(ras) Colorectal Neoplasms Deep Learning Mutation Pharmaceutical Preparations Humans
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Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet.

Biochemical and biophysical research communications Jul 7, 2020
We propose an image based cellular contractile force evaluation method using a machine learning technique. We use a special substrate that exhibits wrinkles when cells grab the substrate and contract, and the wrinkles can be used to visualize the for...
Microscopy Proto-Oncogene Proteins p21(ras) Machine Learning Algorithms Biomechanical Phenomena Image Processing, Computer-Assisted Humans Cell Line, Tumor Osteosarcoma Neural Networks, Computer Bone Neoplasms Mutation
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Deep Learning Features Improve the Performance of a Radiomics Signature for Predicting KRAS Status in Patients with Colorectal Cancer.

Academic radiology Jan 23, 2020
RATIONALE AND OBJECTIVES: We assess the performance of a model combining a deep convolutional neural network and a hand-crafted radiomics signature for predicting KRAS status in patients with colorectal cancer (CRC).
Humans Deep Learning Proto-Oncogene Proteins p21(ras) Algorithms Tomography, X-Ray Computed Colorectal Neoplasms
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CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach.

European journal of radiology Jul 2, 2019
PURPOSE: This study aimed to investigate whether a machine learning-based computed tomography (CT) texture analysis could predict the mutation status of V-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog (KRAS) in colorectal cancer.
Colorectal Neoplasms Male ROC Curve Predictive Value of Tests Mutation Retrospective Studies Humans Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Machine Learning Female Proto-Oncogene Proteins p21(ras) Aged
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From word models to executable models of signaling networks using automated assembly.

Molecular systems biology Nov 24, 2017
Word models (natural language descriptions of molecular mechanisms) are a common currency in spoken and written communication in biomedicine but are of limited use in predicting the behavior of complex biological networks. We present an approach to b...
Gene Expression Regulation, Neoplastic Models, Genetic Signal Transduction Natural Language Processing Skin Neoplasms Vemurafenib Humans Drug Resistance, Neoplasm Antineoplastic Agents Tumor Suppressor Protein p53 Cell Line, Tumor DNA Damage Proto-Oncogene Proteins p21(ras) Neural Networks, Computer Sulfonamides Proto-Oncogene Proteins B-raf Computer Simulation Indoles Language Enzyme Inhibitors Melanoma
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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...
Tumor Suppressor Protein p53 Lung Neoplasms ErbB Receptors Support Vector Machine Proto-Oncogene Proteins p21(ras) Humans Carcinoma, Non-Small-Cell Lung Mutation Neural Networks, Computer Biomarkers, Tumor
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Development and validation of a machine learning prognostic model based on an epigenomic signature in patients with pancreatic ductal adenocarcinoma.

International journal of medical informatics Jul 1, 2025
BACKGROUND: In Pancreatic Ductal Adenocarcinoma (PDAC), current prognostic scores are unable to fully capture the biological heterogeneity of the disease. While some approaches investigating the role of multi-omics in PDAC are emerging, the analysis ...
Prognosis Carcinoma, Pancreatic Ductal Female Epigenomics Tumor Suppressor Protein p53 Humans Male DNA Methylation CpG Islands Machine Learning Middle Aged Pancreatic Neoplasms Proto-Oncogene Proteins p21(ras) Mutation
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Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins.

Proceedings of the National Academy of Sciences of the United States of America Jan 4, 2022
RAS is a signaling protein associated with the cell membrane that is mutated in up to 30% of human cancers. RAS signaling has been proposed to be regulated by dynamic heterogeneity of the cell membrane. Investigating such a mechanism requires near-at...
Humans Machine Learning Signal Transduction Lipids Proto-Oncogene Proteins p21(ras) Molecular Dynamics Simulation Cell Membrane Protein Multimerization
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