AIMC Journal:
bioRxiv

Showing 2371 to 2380 of 4979 articles

Spatially Resolved Reaction-Diffusion Modeling Reveals Effects of Intracellular Spatial Heterogeneity on Yeast Galactose Network Dynamics

bioRxiv Feb 16, 2026
Eukaryotic cells are spatially organized into functionally-distinct compartments. This three-dimensional(3D) organization generates intracellular heterogeneities that can modulate regulatory dynamics. Despite this knowledge of subcellular organizatio...
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Evaluating image upsampling strategies for downstream microscopy image classification

bioRxiv Feb 16, 2026
Microscopy images are frequently downsampled due to acquisition and computational constraints, requiring reconstruction before downstream analysis. While super-resolution (SR) is typically assessed using pixel-level fidelity metrics, its impact on de...
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Multimodal gene embeddings for drug-target prediction and lineage reconstruction

bioRxiv Feb 16, 2026
Understanding how gene function emerges across molecular, cellular, and pharmacologic contexts remains a central challenge in systems biology and drug discovery. Conventional computational models typically operate within a single modality, such as ex...
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Multi-agent reasoning enables predictive design of living materials

bioRxiv Feb 16, 2026
Living materials derive function from tightly coupled cellular and material processes to deliver adaptive and therapeutic capabilities, yet their predictive design remains constrained by fragmented, cross-disciplinary knowledge and experience-driven ...
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A Lightweight Dual-Attention Neural Network for In-Situ Hyperspectral Classification of Microalgae

bioRxiv Feb 16, 2026
Accurate monitoring of microalgae is essential for assessing marine ecological health and preventing harmful algal blooms in ocean engineering. Current in situ identification methods often suffer from limited discriminative feature extraction and ina...
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Accurate Macromolecular Complex Modeling for Cryo-EM with CryoZeta

bioRxiv Feb 16, 2026
Cryogenic electron microscopy (cryo EM) has become a widely used technique for determining the three-dimensional structures of biological macromolecules. Despite its advantages, building accurate structural models from cryo EM data remains challengin...
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Learning fragment-based segmentation of binding sites from molecular dynamics: a proof-of-concept on cardiac myosin.

bioRxiv Feb 16, 2026
The geometric and chemical features of protein binding sites tend to change as a consequence of conformational dynamics. In the ligand-unbound (apo) state, a binding site might be only transiently organised in a way that can accommodate a given ligan...
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Application of Explainable AI in Neuroscience: Enhancing Autism Screening

bioRxiv Feb 16, 2026
The main challenges in the life of a child with autism are difficulties in communication, behavior, and social interaction. Early diagnosis of this neurodevelopmental disorder improves patient outcomes by enabling more effective, personalized interve...
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Programmable RNA detection generates DNA barcodes for multiplexed phage-host interaction screening

bioRxiv Feb 16, 2026
Here, we introduce Detectrons, modular biosensors that couples programmable toehold switches with retron-mediated reverse transcription to transduce RNA inputs into unique DNA barcodes. The ability to convert dynamic RNA signals into durable DNA reco...
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Machine learning-based framework for predicting human infection potential of coronavirus associated with tri-amino acid motifs, KIQ and LEP in spike protein

bioRxiv Feb 16, 2026
Assessing the human infection potential of emerging coronaviruses remains a critical challenge for global health preparedness. In this study, we developed a machine learning-based framework to predict the human infection potential of coronaviruses an...
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