AIMC Journal:
bioRxiv

Showing 591 to 600 of 4938 articles

Combining Machine Learning and Directed Evolution for Optimization of a Monooxygenase

bioRxiv Aug 3, 2026
L-3,4-dihydroxyphenylalanine (L-Dopa) is an important pharmaceutical for the treatment of Parkinson's disease and a precursor to numerous catechol-containing compounds. The flavin-dependent monooxygenase HpaBC is a promising biocatalyst for microbial...
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Explainable Generative AI Uncovers a Molecular Continuum in Medulloblastoma with Implications for Rare Cancer Subtyping and Treatment Equity

bioRxiv Aug 3, 2026
Medulloblastoma is a childhood brain tumor traditionally classified into four molecular subgroups. Recent evidence suggests that Groups 3 and 4 represent a biological continuum rather than distinct entities, a paradigm shift with significant implicat...
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The aging rhythm: spatio-temporal dynamics of resting alpha oscillations in young and older brains

bioRxiv Aug 3, 2026
Aging is associated with substantial alterations in brain oscillatory activity, particularly within the alpha band (8 -12 Hz). Yet, little is known about how aging affects the spatial propagation of alpha oscillations across cortical networks. In add...
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DNA-binding domain-aware classification enables systematic annotation of the regulatory genome

bioRxiv Aug 3, 2026
Defining the cis-regulatory code remains one of the central challenges of modern genomics, requiring the reliable association of transcription factor binding sites (TFBSs) with their cognate transcription factors (TFs) from DNA sequence information. ...
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Machine Learning-based Prediction of the Long-term Stability of Chinese Hamster Ovary Cells due to Epigenetic Changes

bioRxiv Aug 3, 2026
Background: Chinese hamster ovary (CHO) cells are the main system for producing recombinant protein biopharmaceuticals, but are inherently unstable, affecting their long-term productivity. This cell instability reduces their productivity over time du...
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Linguistic contextualization in the human hippocampus

bioRxiv Aug 2, 2026
Word meanings in language are contextualized by surrounding words. Inspired by the self-attention mechanism in transformer-based large language models (LLMs), we hypothesized that structural composition in the brain arises from combining canonical (n...
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Benchmarking Deep Learning Predictions of Mutation-Induced Fold Switching

bioRxiv Aug 2, 2026
Many proteins are known to adopt multiple distinct folded states which are often associated with key functional behavior. A predictive understanding of the properties of such fold-switching or metamorphic proteins can provide insights into protein dy...
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Detailed curation of biological samples and experimental designs for genomics using LLM-supported agentic workflows

bioRxiv Aug 2, 2026
We describe an automated software tool to accomplish data curation tasks previously performed by humans for the Gemma genomics data re-analysis resource. Gemma is a hand-curated database of reprocessed transcriptomic studies, currently covering over ...
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From sound to source: Human and model recognition of environmental sounds

bioRxiv Aug 1, 2026
Our ability to recognize sound sources in the world is critical to daily life, but is not well documented or understood in computational terms. We developed a large-scale behavioral benchmark of human environmental sound recognition, built models of ...
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A hyperspherical deep Bayesian model for interpretable clustering and relationship prediction in microbiome multi-omics integration

bioRxiv Aug 1, 2026
The microbiome plays a significant role in the development and progression of many diseases, yet extracting interpretable insights from multi-omics data remains challenging. Existing approaches face a recurring practical trade-off: deep learning meth...
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