AIMC Topic: Mice

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Discovery of TRPV4-Targeting Small Molecules with Anti-Influenza Effects Through Machine Learning and Experimental Validation.

International journal of molecular sciences Feb 6, 2025
Transient receptor potential vanilloid 4 (TRPV4) is a calcium-permeable cation channel critical for maintaining intracellular Ca homeostasis and is essential in regulating immune responses, metabolic processes, and signal transduction. Recent studies...
Small Molecule Libraries Orthomyxoviridae Infections Molecular Docking Simulation Drug Discovery Influenza A virus Mice Influenza, Human Humans TRPV Cation Channels Machine Learning Antiviral Agents Animals
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Fast In Vivo Two-Photon Fluorescence Imaging via Lateral and Axial Resolution Restoration With Self-Supervised Learning.

Journal of biophotonics Feb 5, 2025
Two-photon fluorescence (TPF) imaging opens a new avenue to achieve high resolution at extended penetration depths. However, it is difficult for conventional TPF imaging systems to simultaneously achieve high resolution and speed. In this work, we de...
Mice Supervised Machine Learning Signal-To-Noise Ratio Optical Imaging Microscopy, Fluorescence, Multiphoton Deep Learning Time Factors Image Processing, Computer-Assisted Animals
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Artificial intelligence using a latent diffusion model enables the generation of diverse and potent antimicrobial peptides.

Science advances Feb 5, 2025
Artificial intelligence holds great promise for the design of antimicrobial peptides (AMPs); however, current models face limitations in generating AMPs with sufficient novelty and diversity, and they are rarely applied to the generation of antifunga...
Mice Antifungal Agents Molecular Dynamics Simulation Anti-Bacterial Agents Animals Microbial Sensitivity Tests Antimicrobial Peptides Diffusion Acinetobacter baumannii Candida glabrata Artificial Intelligence
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UTR-Insight: integrating deep learning for efficient 5' UTR discovery and design.

BMC genomics Feb 4, 2025
The 5' UTR is critical for mRNA stability and translation efficiency in therapeutics. We developed UTR-Insight, a model integrating a pretrained language model with a CNN-Transformer architecture, explaining 89.1% of the mean ribosome load (MRL) vari...
Humans Animals Deep Learning Mice 5' Untranslated Regions
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A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions.

Nature communications Feb 3, 2025
Cells are regulated at multiple levels, from regulations of individual genes to interactions across multiple genes. Some recent neural network models can connect molecular changes to cellular phenotypes, but their design lacks modeling of regulatory ...
Hair Follicle Single-Cell Analysis Gene Regulatory Networks Mice Neural Networks, Computer Polymorphism, Single Nucleotide Animals Transcription Factors Humans Diabetes Mellitus, Type 2 Gene Expression Regulation
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Identification of hub biomarkers in liver post-metabolic and bariatric surgery using comprehensive machine learning (experimental studies).

International journal of surgery (London, England) Feb 1, 2025
BACKGROUND: The global prevalence of non-alcoholic fatty liver disease (NAFLD) is approximately 30%, and the condition can progress to non-alcoholic steatohepatitis, cirrhosis, and hepatocellular carcinoma. Metabolic and bariatric surgery (MBS) has b...
Biomarkers Animals Liver Mice Male Lipid Metabolism Disease Models, Animal Non-alcoholic Fatty Liver Disease Humans Mice, Inbred C57BL Bariatric Surgery Machine Learning
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Fluo-Cast-Bright: a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live oocytes.

Communications biology Jan 29, 2025
In mammalian oocytes, large-scale chromatin organization regulates transcription, nuclear architecture, and maintenance of chromosome stability in preparation for meiosis onset. Pre-ovulatory oocytes with distinct chromatin configurations exhibit pro...
Meiosis Deep Learning Female Chromatin Animals Mice Gene Expression Profiling Oocytes
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A deep learning pipeline for three-dimensional brain-wide mapping of local neuronal ensembles in teravoxel light-sheet microscopy.

Nature methods Jan 27, 2025
Teravoxel-scale, cellular-resolution images of cleared rodent brains acquired with light-sheet fluorescence microscopy have transformed the way we study the brain. Realizing the potential of this technology requires computational pipelines that gener...
Brain Mapping Microscopy, Fluorescence Neurons Imaging, Three-Dimensional Brain Algorithms Image Processing, Computer-Assisted Animals Mice Deep Learning
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Identification and validation of key autophagy-related genes in lupus nephritis by bioinformatics and machine learning.

PloS one Jan 27, 2025
INTRODUCTION: Lupus nephritis (LN) is one of the most frequent and serious organic manifestations of systemic lupus erythematosus (SLE). Autophagy, a new form of programmed cell death, has been implicated in a variety of renal diseases, but the relat...
Kidney Animals Lupus Nephritis Gene Expression Profiling Autophagy Gene Regulatory Networks Transcriptome Humans Mice Protein Interaction Maps Machine Learning Computational Biology Female
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Integrating Retinal Segmentation Metrics with Machine Learning for Predictions from Mouse SD-OCT Scans.

Current eye research Jan 23, 2025
PURPOSE: This study aimed to initially test whether machine learning approaches could categorically predict two simple biological features, mouse age and mouse species, using the retinal segmentation metrics.
Neural Networks, Computer Machine Learning Animals Mice Support Vector Machine Mice, Inbred C57BL Tomography, Optical Coherence Retina Mice, Inbred DBA
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