AIMC Journal:
bioRxiv

Showing 771 to 780 of 4938 articles

EcoXAI: Autonomous Agentic Ecosystem for Explainable Artificial Intelligence and Biomedical Discovery

bioRxiv Jul 13, 2026
Motivation: As biomedical datasets and knowledge graphs continue to grow in size, complexity, and heterogeneity, navigating and extracting actionable insights from them presents a major bottleneck for researchers. There is a clear need for autonomous...
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A novel dopaminergic critic signal triggered by erroneous strategy choices in mice training in operant tasks

bioRxiv Jul 13, 2026
Classically, midbrain dopaminergic neuron activity is triggered by unexpected rewards, then, upon learning, by reward-predictive conditioned stimuli. When expected rewards are withheld, firing is inhibited. This activity occurs too late to directly a...
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Machine learning-guided discovery of a conserved plasmid proteomic signature enables MALDI-TOF MS detection of pOXA-48-carrying Enterobacterales

bioRxiv Jul 13, 2026
OXA-48 carbapenemases are among the most widespread and important resistance mechanisms in Enterobacterales. Yet detecting carbapenemases by conventional workflows necessitates additional testing, thus delaying optimization of therapy and implementat...
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ARSENAL: Learning Transferable Regulatory DNA Representations with Targeted Short-Context Language Models

bioRxiv Jul 12, 2026
DNA language models (DNALMs) aim to learn representations of genomic sequence for variant interpretation, regulatory prediction, and sequence design. Most DNALMs are trained on whole genomes and long contexts, but regulatory DNA poses a distinct chal...
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ProtBLIP2-SST: Protein Function Prediction via BLIP2 with Sequence, Structure, and Text

bioRxiv Jul 12, 2026
Protein function prediction traditionally relies on structured gene ontology (GO) labels or multi-label classifiers. However, these labels or classifiers cannot flexibly describe molecular function, biological process, cellular component, and free-te...
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OCellus: A Language-Model Framework for Single-Cell, Spatial, and Perturbation Biology with Natural-Language Reasoning

bioRxiv Jul 12, 2026
Computational modeling of cellular behavior - the virtual cell - has emerged as a stated grand challenge at the intersection of artificial intelligence and biology, yet existing foundation models remain specialized: single-cell models process dissoci...
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A geometric atlas of how ESM3 organizes modalities across depth

bioRxiv Jul 12, 2026
Protein language models learn general-purpose representations from large collections of protein sequences and structures, and have advanced the prediction of protein structure and function. ESM3 is a multimodal protein language model that ingests a p...
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Spatial Glyco-Codes Define Human Liver Pathology and Progression

bioRxiv Jul 12, 2026
Glycosylation is a fundamental process regulating cellular function, tissue organization, and disease progression. However, comprehensive glycan profiling at single cell spatial resolution remains largely inaccessible, particularly in clinical archiv...
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BioMetAll v2.0: Introducing Scores, Metal Discrimination, and Side-Chain Descriptors for Predicting Metal-Binding Sites in Proteins.

bioRxiv Jul 12, 2026
Predicting the location of metal-binding sites in proteins is crucial for fundamental biological questions and biotechnological applications. Over the past decade, the rise in metal-bound protein structures in the Protein Data Bank, combined with adv...
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Attention reshapes the information dynamics of thalamic and cortical prediction-error learning

bioRxiv Jul 11, 2026
Prediction errors (PEs) drive perceptual learning by updating internal models of the sensory environment, yet it remains unclear how attention reshapes their representation across distributed thalamocortical circuits. Using intracranial stereoelectro...
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