AIMC Topic: Intracellular Signaling Peptides and Proteins

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Machine learning with autophagy-related proteins for discriminating renal cell carcinoma subtypes.

Scientific reports Jan 20, 2020
Machine learning techniques have been previously applied for classification of tumors based largely on morphological features of tumor cells recognized in H&E images. Here, we tested the possibility of using numeric data acquired from software-based ...
Intracellular Signaling Peptides and Proteins Autophagy-Related Proteins Microtubule-Associated Proteins Carcinoma, Renal Cell Autophagy-Related Protein 5 Autophagy-Related Protein-1 Homolog RNA, Messenger Gene Expression Autophagy Kidney Neoplasms Humans Machine Learning
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FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms.

Cancer medicine Jan 1, 2020
Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensitive to FOLFOX (5-FU, leucovorin and oxaliplatin) therapy is very important. We performed microarray meta-analysis to identify differentially expressed ...
Humans Machine Learning Organoplatinum Compounds Cell Cycle Proteins Protein Kinases Datasets as Topic Response Evaluation Criteria in Solid Tumors Leucovorin Oligonucleotide Array Sequence Analysis Intracellular Signaling Peptides and Proteins Gene Expression Regulation, Neoplastic Biomarkers, Tumor Antineoplastic Combined Chemotherapy Protocols Neoplasm Recurrence, Local Prognosis Gene Expression Profiling Fluorouracil Colorectal Neoplasms
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Volumetry of Mesiotemporal Structures Reflects Serostatus in Patients with Limbic Encephalitis.

AJNR. American journal of neuroradiology Nov 14, 2019
BACKGROUND AND PURPOSE: Limbic encephalitis is an autoimmune disease. A variety of autoantibodies have been associated with different subtypes of limbic encephalitis, whereas its MR imaging signature is uniformly characterized by mesiotemporal abnorm...
Intracellular Signaling Peptides and Proteins Limbic Encephalitis Machine Learning Brain Retrospective Studies Female Humans Autoantibodies Glutamate Decarboxylase Autoantigens Neuroimaging Middle Aged Magnetic Resonance Imaging Adult Male
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Identification of lead anti-human cytomegalovirus compounds targeting MAP4K4 via machine learning analysis of kinase inhibitor screening data.

PloS one Jul 26, 2018
Chemogenomic approaches involving highly annotated compound sets and cell based high throughput screening are emerging as a means to identify novel drug targets. We have previously screened a collection of highly characterized kinase inhibitors (Khan...
Intracellular Signaling Peptides and Proteins Virus Replication Protein Kinase Inhibitors Antiviral Agents Humans Cell Line Machine Learning Drug Discovery Cytomegalovirus Infections RNA, Small Interfering Protein Serine-Threonine Kinases Cytomegalovirus
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Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models.

Journal of theoretical biology Aug 20, 2015
Signaling proteins are an important topic in drug development due to the increased importance of finding fast, accurate and cheap methods to evaluate new molecular targets involved in specific diseases. The complexity of the protein structure hinders...
Machine Learning Humans Databases, Protein Intracellular Signaling Peptides and Proteins Quantitative Structure-Activity Relationship Signal Transduction
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