AIMC Journal:
bioRxiv

Showing 2221 to 2230 of 4956 articles

BioMiner: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature

bioRxiv Feb 26, 2026
Protein-ligand bioactivity data published in literature are essential for drug discovery, yet manual curation struggles to keep pace with rapidly growing literature. Automated bioactivity extraction remains challenging because it requires not only in...
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AI predicted TCR-pMHC structures differentiate immune interactions

bioRxiv Feb 26, 2026
The T Cell Receptor (TCR) is a highly variable component of the T cell immune response that recognizes unique epitopes presented on MHC molecules (pMHC). Random genetic recombination limits the ability for sequence homology to predict epitope specifi...
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Deep learning enables feature extraction of 3D collagen architecture in cleared fibrotic tissues

bioRxiv Feb 26, 2026
Light-sheet fluorescence microscopy enables deep optical sectioning of large, cleared biological tissues. However, effective clearing of collagen-rich tissues remains a persistent technical challenge. Moreover, standardized workflows integrating thre...
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Permutation-calibrated stability discovery under ???? >> ????: A leak-controlled Machine Learning framework identifies candidate proteomics panels in antiseizure medication-related side effects

bioRxiv Feb 26, 2026
We investigated whether the plasma proteome distinguishes people with epilepsy who report central nervous system (CNS) side effects from antiseizure medications (ASMs) from those who do not. In 161 patients profiled using proximity extension assay-ba...
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Decoding the Allosteric Paradox: A Dual Framework Integrating AI Cofolding Models with Landscape-Guided Interpretable AI Framework of Ligand-Protein Binding

bioRxiv Feb 26, 2026
Artificial intelligence (AI) has transformed prediction of protein structure and biomolecular interactions, yet modeling of allosteric regulation remains a persistent and unresolved challenge. We develop a dual explainable AI framework that systemati...
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Transforming Histology into Virtual Multiplex Immunofluorescence to Decode Prognostic Spatial Immunity in Hepatocellular Carcinoma

bioRxiv Feb 26, 2026
The spatial organization of the tumor immune microenvironment (TIME) drives hepatocellular carcinoma (HCC) prognosis but remains unquantifiable on routine H&E slides. Here, we present HCCExplorer, a deep learning framework that translates H&E into vi...
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CellSwarm: LLM-Driven Cell Agents Recapitulate Tumor Microenvironment Dynamics and Sense Indirect Genetic Perturbations

bioRxiv Feb 26, 2026
Agent-based models of the tumor microenvironment (TME) traditionally rely on hand-coded rules that cannot generalize beyond their programmed logic. Here we present CellSwarm, a framework that replaces rule-based cell decision-making with large langua...
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Towards Translational Sleep Staging: A Cross-Species Deep-Learning Model for Rodent and Human EEG

bioRxiv Feb 26, 2026
Study Objectives Automated sleep staging underpins clinical sleep assessment and translational neuroscience, yet most data analyses work addresses human and animal data separately. We tested whether a seizure-oriented machine learning framework can b...
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Modeling Microbiome Modulation of Tumor Metabolic Networks to Predict Synergistic Therapies

bioRxiv Feb 26, 2026
Differences in microbiome composition profoundly influence drug response, yet methods to model the metabolic interplay between tumors, microbes, and therapeutics remain limited. We present a generalizable framework combining machine learning and geno...
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A Benchmarking Study of Feature Screening Approaches Across Omics Classification Settings

bioRxiv Feb 26, 2026
In recent years, high dimensional omics analyses have become more commonplace for investigating complex biological systems. Typically, these studies attempt to identify key biomolecules associated with a particular biological process. Often, machine ...
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