AIMC Journal:
bioRxiv

Showing 371 to 380 of 4935 articles

A pretrained unified model enables cellular functional profile prediction and multi-objective virtual drug screening

bioRxiv Aug 28, 2026
Cells are characterized by molecular states, coordinated molecular interactions, regulatory programs, and responses to perturbations. Systematic mapping of these cellular functional profiles across biological contexts remains experimentally costly an...
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OmicsFM brings proteomics into the foundation model era

bioRxiv Aug 28, 2026
While foundation models have been shown to learn biological representations from large transcriptomic atlases, it remained unknown whether proteomics data allow the same. We here therefore introduce OmicsFM, a modality-agnostic transformer pretrained...
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Functional profiling of spacecraft cleanroom microbiomes through genome-wide phenotype predictions

bioRxiv Aug 28, 2026
Current planetary protection approaches rely heavily on spore-based tests developed for Mars missions and may not adequately assess contamination risks for icy ocean worlds such as Europa. We developed a genome-based framework combining deep shotgun ...
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Organelle interdependencies underlie the collapse of eukaryotic intracellular organization during cell death and aging

bioRxiv Aug 28, 2026
Complex intracellular organization is a defining feature of eukaryotic cells, and the loss of its integrity is a hallmark of aging and disease. We combined high-content time-lapse imaging and machine learning to quantitatively monitor the morphology ...
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Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling

bioRxiv Aug 28, 2026
Antimicrobial peptides (AMPs) often act against multiple pathogen classes, making multi-label activity prediction a more realistic screening target than binary antimicrobial classification. The ESCAPE benchmark formalizes this setting, but leading ap...
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SatCHM (Satellite Canopy Height Model): Leveraging deep learning for site-specific sub-meter canopy height predictions

bioRxiv Aug 27, 2026
High-resolution monitoring of forest structure and productivity is essential for effective natural resource management. However, monitoring approaches such as field-based forest inventories or extensive lidar campaigns are costly, time-intensive, and...
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Molecular Determinants of Functional Bacterial sRNA-mRNA Interactions Revealed by Integrating RNA Interactomes and Interpretable Machine Learning

bioRxiv Aug 27, 2026
Bacterial small RNAs (sRNAs) regulate gene expression by base pairing with target mRNAs, yet transcriptome-wide interactome mapping has shown that many sRNA-mRNA interactions detected in vivo have modest or no regulatory effect using orthogonal repor...
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PMPNN-DDG: an accurate machine learning-based {triangleup}{triangleup}G prediction pipeline trained on a novel interpretable feature set extracted from ProteinMPNN

bioRxiv Aug 27, 2026
An accurate and tractable approximation of the single-point mutation-induced change in protein thermodynamic stability, denoted by DDG, is critical for understanding the genotype-phenotype relationship. Several computational methods have been propose...
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Impact of Axon Model Complexity on Deep Brain Stimulation: A Comparative Analysis of MRG and Cohen Double-Cable Models

bioRxiv Aug 27, 2026
Deep brain stimulation (DBS) modeling relies heavily on biophysical neuron models to estimate neural activation thresholds and predict stimulation spread. In this study, we systematically compared a widely adopted axon model, the McIntyre-Richardson-...
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Resting Galvanic Skin Response Reflects Fluctuations in Creativity Potential for Solving Creativity Tasks

bioRxiv Aug 27, 2026
Creative performance fluctuates from moment to moment, suggesting that it depends partly on transient internal states present before creative thinking begins. Although such fluctuations have been identified in central neural activity, it remains uncl...
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