AIMC Topic: Signal Transduction

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The immuneoreaction and antioxidant status of Chinese mitten crab (Eriocheir sinensis) involve protein metabolism and the response of mTOR signaling pathway to dietary methionine levels.

Fish & shellfish immunology Jul 8, 2022
To study the effects of dietary methionine on growth performance, immunity, antioxidant capacity, protein metabolism, inflammatory response and apoptosis factors in Chinese mitten crabs (Eriocheir sinensis). Five diets with different methionine level...
Signal Transduction Animals Animal Feed Brachyura Diet Mammals Immunity, Innate China Methionine Dietary Supplements Antioxidants Sirolimus TOR Serine-Threonine Kinases
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Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease.

PloS one Feb 23, 2022
Inflammatory bowel diseases (IBDs), including ulcerative colitis and Crohn's disease, affect several million individuals worldwide. These diseases are heterogeneous at the clinical, immunological and genetic levels and result from complex host and en...
Precision Medicine Female Aged Young Adult Adult Humans Machine Learning Tumor Necrosis Factor-alpha Genomics Signal Transduction Colitis, Ulcerative Anti-Inflammatory Agents, Non-Steroidal Crohn Disease Male Middle Aged Transcriptome Adolescent Prednisolone Drug Evaluation, Preclinical Mesalamine Pyrazoles Phenylurea Compounds Naphthalenes
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Machine Learning Identifies Pan-Cancer Landscape of Nrf2 Oxidative Stress Response Pathway-Related Genes.

Oxidative medicine and cellular longevity Feb 17, 2022
BACKGROUND: Oxidative stress produced a large amount of reactive oxygen species (ROS), which played a pivotal role in balanced ability and determining cell fate. The activated Nrf2 signaling pathway that responds to the excessive ROS regulated the ex...
NF-E2-Related Factor 2 Biomarkers, Tumor Neoplasms Transcriptome Case-Control Studies Oxidative Stress Gene Expression Regulation, Neoplastic Machine Learning Signal Transduction Humans Phenotype Reactive Oxygen Species Prognosis Mutation Rate Survival Rate Tumor Microenvironment
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Exploring the Study of miR-1301 Inhibiting the Proliferation and Migration of Squamous Cell Carcinoma YD-38 Cells through PI3K/AKT Pathway under Deep Learning Medical Images.

Computational intelligence and neuroscience Feb 10, 2022
With the rapid development and application of deep learning medical image recognition, natural language processing, and other fields, at the same time, deep learning has become the most popular research direction in the field of image processing and ...
Cell Proliferation Signal Transduction Cell Movement MicroRNAs Phosphatidylinositol 3-Kinases Humans Proto-Oncogene Proteins c-akt Carcinoma, Squamous Cell Deep Learning
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The use of machine learning to discover regulatory networks controlling biological systems.

Molecular cell Jan 10, 2022
Biological systems are composed of a vast web of multiscale molecular interactors and interactions. High-throughput technologies, both bulk and single cell, now allow for investigation of the properties and quantities of these interactors. Computatio...
Signal Transduction Models, Biological Gene Expression Regulation Animals Protein Interaction Maps Gene Regulatory Networks Computational Biology Humans Machine Learning Research Design
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Mini-batch optimization enables training of ODE models on large-scale datasets.

Nature communications Jan 10, 2022
Quantitative dynamic models are widely used to study cellular signal processing. A critical step in modelling is the estimation of unknown model parameters from experimental data. As model sizes and datasets are steadily growing, established paramete...
Humans Machine Learning Computational Biology Signal Transduction Benchmarking Software Models, Biological Gene Knockout Techniques Algorithms Neoplasms Cell Line, Tumor
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Systems biology and machine learning approaches identify drug targets in diabetic nephropathy.

Scientific reports Dec 6, 2021
Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a massive global health burden. Despite considerable efforts, the underlying mechanisms have not yet been comprehensively understood. In this study, a systematic appr...
Mice, Inbred DBA Kidney Cortex Kidney Medulla Humans Machine Learning Algorithms Animals Male Global Health Support Vector Machine Diabetic Nephropathies Drug Design Cluster Analysis Computational Biology Principal Component Analysis Gene Expression Profiling MicroRNAs Systems Biology Linear Models Gene Regulatory Networks Regression Analysis Epigenesis, Genetic Chemistry, Pharmaceutical Mice Signal Transduction Microarray Analysis Oligonucleotide Array Sequence Analysis
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A disease network-based deep learning approach for characterizing melanoma.

International journal of cancer Nov 17, 2021
Multiple types of genomic variations are present in cutaneous melanoma and some of the genomic features may have an impact on the prognosis of the disease. The access to genomics data via public repositories such as The Cancer Genome Atlas (TCGA) all...
Signal Transduction Matrix Metalloproteinase 2 Receptor, ErbB-3 Humans Adult Female Male Middle Aged Melanoma Deep Learning Skin Neoplasms Genomics Aged Young Adult
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Time-resolved in vivo ubiquitinome profiling by DIA-MS reveals USP7 targets on a proteome-wide scale.

Nature communications Sep 13, 2021
Mass spectrometry (MS)-based ubiquitinomics provides system-level understanding of ubiquitin signaling. Here we present a scalable workflow for deep and precise in vivo ubiquitinome profiling, coupling an improved sample preparation protocol with dat...
Jurkat Cells Substrate Specificity Ubiquitin Humans Ubiquitination Neural Networks, Computer Proteome Ubiquitin-Specific Peptidase 7 Time Factors Signal Transduction Cell Line, Tumor Tandem Mass Spectrometry Proteomics HCT116 Cells
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A machine learning framework for predicting drug-drug interactions.

Scientific reports Sep 2, 2021
Understanding drug-drug interactions is an essential step to reduce the risk of adverse drug events before clinical drug co-prescription. Existing methods, commonly integrating heterogeneous data to increase model performance, often suffer from a hig...
Computational Biology Signal Transduction Humans Drug Interactions Machine Learning Drug Discovery Protein Interaction Maps
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