AIMC Topic: Drosophila

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The interaction of UBR4, LRP1, and OPHN1 in refractory epilepsy: Drosophila model to investigate the oligogenic effect on epilepsy.

Neurobiology of disease Aug 1, 2025
Refractory epilepsy is an intractable neurological disorder that can be associated with oligogenic/polygenic etiologies. Through trio-based whole-exome sequencing analysis, we identified a clinical case of refractory epilepsy with three candidate gen...
Disease Models, Animal Animals, Genetically Modified Drosophila Proteins Animals Male Drug Resistant Epilepsy GTPase-Activating Proteins Low Density Lipoprotein Receptor-Related Protein-1 Ubiquitin-Protein Ligases Drosophila Humans Female
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A novel interpretable deep learning-based computational framework designed synthetic enhancers with broad cross-species activity.

Nucleic acids research Nov 27, 2024
Enhancers play a critical role in dynamically regulating spatial-temporal gene expression and establishing cell identity, underscoring the significance of designing them with specific properties for applications in biosynthetic engineering and gene t...
Drosophila melanogaster Deep Learning Drosophila Humans Computational Biology Animals Gene Expression Regulation Enhancer Elements, Genetic
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Application of modern computer technology in classical genetics lab course--Development of a mobile, lightweight and high-precision batch identification system for genetic traits of .

Yi chuan = Hereditas Apr 20, 2023
is a crucial biological experimental teaching material extensively utilized in experimental teaching. In this experimental teaching, each student typically needs to manually identify hundreds of fruit flies and record multiple of each fly. This task...
Technology Animals Drosophila Neural Networks, Computer Computers
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Deciphering enhancer sequence using thermodynamics-based models and convolutional neural networks.

Nucleic acids research Oct 11, 2021
Deciphering the sequence-function relationship encoded in enhancers holds the key to interpreting non-coding variants and understanding mechanisms of transcriptomic variation. Several quantitative models exist for predicting enhancer function and und...
Computational Biology Drosophila Enhancer Elements, Genetic Neural Networks, Computer Animals
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Neuroscience: Convergence of biological and artificial networks.

Current biology : CB Sep 27, 2021
A new study shows that an artificial neural network trained to predict visual motion reproduces key properties of motion detecting circuits in the fruit fly.
Neural Networks, Computer Drosophila Neurosciences Animals
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CODEX, a neural network approach to explore signaling dynamics landscapes.

Molecular systems biology Apr 1, 2021
Current studies of cell signaling dynamics that use live cell fluorescent biosensors routinely yield thousands of single-cell, heterogeneous, multi-dimensional trajectories. Typically, the extraction of relevant information from time series data reli...
Extracellular Signal-Regulated MAP Kinases Neural Networks, Computer Dose-Response Relationship, Radiation Machine Learning Drosophila Databases as Topic Humans Radiation, Ionizing Movement Proto-Oncogene Proteins c-akt Intercellular Signaling Peptides and Proteins Transforming Growth Factor beta Signal Transduction Algorithms Tumor Suppressor Protein p53 Cell Line Animals Light Fluorescent Dyes
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Learning Retention Mechanisms and Evolutionary Parameters of Duplicate Genes from Their Expression Data.

Molecular biology and evolution Mar 9, 2021
Learning about the roles that duplicate genes play in the origins of novel phenotypes requires an understanding of how their functions evolve. A previous method for achieving this goal, CDROM, employs gene expression distances as proxies for function...
Gene Duplication Drosophila Neural Networks, Computer Models, Genetic Evolution, Molecular Gene Expression Software Animals
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Accurate prediction of boundaries of high resolution topologically associated domains (TADs) in fruit flies using deep learning.

Nucleic acids research Jul 26, 2019
Genomes are organized into self-interacting chromatin regions called topologically associated domains (TADs). A significant number of TAD boundaries are shared across multiple cell types and conserved across species. Disruption of TAD boundaries may ...
Deep Learning Drosophila Animals
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DeepGSR: an optimized deep-learning structure for the recognition of genomic signals and regions.

Bioinformatics (Oxford, England) Apr 1, 2019
MOTIVATION: Recognition of different genomic signals and regions (GSRs) in DNA is crucial for understanding genome organization, gene regulation, and gene function, which in turn generate better genome and gene annotations. Although many methods have...
Genomics Sequence Analysis, DNA Genome Humans Animals Drosophila Cattle Mice Deep Learning Genome-Wide Association Study Software
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Chess, a of reasoning.

Science (New York, N.Y.) Dec 7, 2018
Deep Learning Humans Problem Solving Animals Drosophila
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