AIMC Journal:
bioRxiv

Showing 301 to 310 of 4935 articles

High-throughput genomic feature extraction reveals environmental adaptations of prokaryotes

bioRxiv Sep 6, 2026
Understanding the adaptations of microorganisms to their environment is key to predicting the stability and dynamics of microbial communities. To uncover molecular mechanisms of environmental response, we extracted genomic features from 13,554 prokar...
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OmniSyn unifies target-aware molecular generation and optimization within a synthesis-native LLM framework across the human proteome

bioRxiv Sep 6, 2026
Designing target-specific bioactive molecules with actionable synthesis routes for the human proteome holds enormous potential for expanding therapeutic discovery, but remains a challenge. Existing target-aware generative models often depend on prote...
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From code to natural language: MErlin - a multiomics toolkit for bacterial epigenomics delivered as Claude agent skill.

bioRxiv Sep 6, 2026
Interpreting a bacterial methylome is a multi-omics problem. It requires integrating modified-base calls with genome annotation, motif inventories, methyltransferase genotypes, transcript abundance, replichore position and, increasingly, chromosome c...
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ReTIF: Granularity-Aware Multitask Interaction Routing for RNA-Compound Interaction Prediction and Binding-Site Localization

bioRxiv Sep 6, 2026
RNA-targeted drug discovery requires both RNA-compound interaction prediction and nucleotide-level binding-site (BS) localization. These two tasks rely on different levels of interaction information: DTI prediction summarizes overall RNA-compound com...
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DRUMS - A Flexible New Deep Learning Tool for Precise Cortical Surface Alignment across Individuals

bioRxiv Sep 6, 2026
Accurate inter-individual alignment of human cerebral cortex is challenging because of the high variability of human cortical folding patterns and the regionally non-uniform and inconsistent spatial relationships across individuals of cortical folds ...
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Altered astrocyte morphology in pathogenic HEPACAM variants: a multipoint analysis and new machine learning framework for 3D Sholl analysis

bioRxiv Sep 6, 2026
Astrocytes are morphologically complex glial cells that play critical roles in brain development and function. Altered astrocyte morphology is associated with altered astrocyte function and is a common feature of many neurological disorders. Astrocyt...
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Forecasting viral evolution from phylogenetic trees

bioRxiv Sep 5, 2026
Viral mutation forecasting plays a key role in pandemic preparedness by enabling researchers to anticipate novel variants and design proactive interventions. Evolutionary histories, represented as phylogenetic trees, offer key insights into the emerg...
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Unlocking Sensitive Data with SPHERE in the Age of AI

bioRxiv Sep 5, 2026
Sensitive human data underpin discoveries across medicine, biology and the social sciences, yet privacy regulation often prevents sharing them with collaborators or artificial intelligence (AI) systems. We introduce SPHERE, a model-free method that m...
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Deep visual proteomics reveals distinct proximal tubular and glomerular injury programs in experimental diabetic kidney disease

bioRxiv Sep 5, 2026
Background: Diabetic kidney disease (DKD) is the leading cause of chronic kidney disease (CKD). However, most proteomic studies of DKD rely on bulk kidney tissue, which cannot distinguish the contribution or response of individual nephron compartment...
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Gene function prediction from bulk coexpression is bounded by cell-type-level signal

bioRxiv Sep 4, 2026
It is widely accepted in genomics that coexpression of RNA transcripts suggests a commonality of function. This intuition is explicitly leveraged in machine learning methods that predict gene function, where it is often combined with other features s...
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