AIMC Topic: Animals
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Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder.
Nature communications
May 4, 2025
Mitochondria play a key role in energy production and metabolism, making them a promising target for metabolic engineering and disease treatment. However, despite the known influence of passenger proteins on localization efficiency, only a few protei...
Recent advances in omics and the integration of multi-omics in osteoarthritis research.
Arthritis research & therapy
May 3, 2025
Osteoarthritis (OA) is a complex disorder driven by the combination of environmental and genetic factors. Given its high global prevalence and heterogeneity, developing effective and personalized treatment methods is crucial. This requires identifyin...
Transfer learning from inorganic materials to ivory detection.
Scientific reports
May 3, 2025
This paper describes the automatic identification of ivory using Raman spectroscopy data and deep neural network (DNN) models pre-trained on open-source data from inorganic minerals. The proposed approach uses transfer learning (TL) from foundation m...
Bio-inspired motion detection models for improved UAV and bird differentiation: a novel deep learning framework.
Scientific reports
May 3, 2025
The rapid increase in Unmanned Aerial Vehicle (UAV) deployments has led to growing concerns about their detection and differentiation from birds, particularly in sensitive areas like airports. Existing detection systems often struggle to distinguish ...
Integrating genetic variation with deep learning provides context for variants impacting transcription factor binding during embryogenesis.
Genome research
May 2, 2025
Understanding how genetic variation impacts transcription factor (TF) binding remains a major challenge, limiting our ability to model disease-associated variants. Here, we used a highly controlled system of F crosses with extensive genetic diversity...
Semi-Supervised Multimodal Representation Learning Through a Global Workspace.
IEEE transactions on neural networks and learning systems
May 2, 2025
Recent deep learning models can efficiently combine inputs from different modalities (e.g., images and text) and learn to align their latent representations or to translate signals from one domain to another (as in image captioning or text-to-image g...
Neuronal correlates of sleep in honey bees.
Neural networks : the official journal of the International Neural Network Society
May 1, 2025
Honey bees Apis mellifera follow the day-night cycle for their foraging activity, entering rest periods during darkness. Despite considerable research on sleep behaviour in bees, its underlying neurophysiological mechanisms are not well understood, p...
Debugging the dynamics of protein corona: Formation, composition, challenges, and applications at the nano-bio interface.
Advances in colloid and interface science
Apr 30, 2025
The intricate interplay between nanomaterials and the biological molecules has garnered considerable interest in understanding the dynamics of protein corona formation at the nano-bio interface. This review provides an in-depth exploration of protein...
GBE1 alleviates MPTP-induced PD symptoms in mice by enhancing glycolysis and oxidative phosphorylation.
Brain research
Apr 30, 2025
In Parkinson's disease (PD), the disturbance of energy metabolism due to glucose metabolic reprogramming may be a critical factor contributing to neuronal degeneration and death. Glycolysis, as the core process of glucose metabolism, not only serves ...
Significance of NMDA receptor-targeting compounds in neuropsychological disorders: An in-depth review.
European journal of pharmacology
Apr 30, 2025
N-methyl-D-aspartate receptors (NMDARs), a subclass of glutamate-gated ion channels, play an integral role in the maintenance of synaptic plasticity and excitation-inhibition balance within the central nervous system (CNS). Any irregularities in NMDA...
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