AIMC Journal:
bioRxiv

Showing 1711 to 1720 of 4956 articles

EnzCast: Prediction of Patient-Specific Enzymatic Kinetics through Multi-Modal Deep Learning and Isoform-Resolved Bayesian Inference based on Single-Cell Transcriptomics

bioRxiv Apr 30, 2026
Enzyme kinetic parameters underpin mechanistic biology but remain sparse in physiological context. We present EnzCast, a multi-modal framework jointly predicting Km, kcat, kcat/Km, and Ki from protein sequence, 3D structure, substrate chemistry, and ...
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Multidimensional Mechanistic Study of Panax Notoginseng Saponins in the Treatment of Alcohol-Induced Osteonecrosis of the Femoral Head: Integrating Network Pharmacology, Molecular Dynamics Simulation and In Vivo Validation

bioRxiv Apr 30, 2026
Background: Alcohol-induced osteonecrosis of the femoral head (AIONFH) is an orthopedic disorder from chronic alcohol abuse, characterized by disrupted femoral head blood supply, osteocyte death and structural collapse. Current hip-preserving therapy...
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Hybrid CNN and Multi-Head Attention Model for Analyzing Epigenetic Mechanisms and Gene Expression Across Fungal Phylogenetic Distances

bioRxiv Apr 30, 2026
Understanding gene expression is crucial for optimizing biological processes in bioeconomic processes, human health, and environmental regulation. Epigenetic modifications significantly influence gene expression by altering chromatin structure and DN...
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Programming Biomolecular Interactions with All-Atom Generative Model

bioRxiv Apr 30, 2026
Biomolecular interactions lie at the core of cellular life, spanning diverse molecular modalities from small molecules to nucleic acids and proteins. Nevertheless, design strategies remain separated despite shared physicochemical principles of molecu...
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Systematic evaluation and benchmarking of text summarization methods for biomedical literature: From word-frequency methods to language models

bioRxiv Apr 30, 2026
The rapid expansion of biomedical literature demands automated summarization tools that can reliably condense research articles into concise, accurate overviews. We benchmarked 62 text summarization methods - ranging from frequency-based and TextRank...
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Coherence from Context - Two-Point Neuron Models for Contextual Integration in Visual Information Processing

bioRxiv Apr 30, 2026
The integration of contextual information is crucial for coherent perception and cognition. The morphology and conductance properties of cortical pyramidal cells suggest that they operate as "two-point neurons" (TPNs), asymmetrically combining drivin...
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DrugPTM-Bench: A Large-Scale Dataset for Predictive Modeling of Drug-Induced Cell Type-Specific Protein Post-Translational Modifications

bioRxiv Apr 30, 2026
Protein post-translational modifications (PTMs), particularly phosphorylation, serve as the primary molecular switches that orchestrate cellular signaling and drug response. While PTM dysregulation is a hallmark of cancer and neurodegeneration, the l...
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TxConformal: Controlling False Discoveries in AI-Driven Therapeutic Discovery

bioRxiv Apr 30, 2026
Artificial Intelligence (AI) is transforming therapeutic discovery by scoring a large set of promising candidates and prioritizing a shortlist for further investigation. Quantifying the reliability of AI scores and preventing false positives among se...
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HF-125, a first-in-class computer-modeled novel inhibitor of Tribbles 2, for therapy of enzalutamide resistant, neuroendocrine prostate cancer.

bioRxiv Apr 30, 2026
Second generation antiandrogens, such as enzalutamide, are commonly prescribed to treat advanced prostate cancer. However, enzalutamide resistant prostate cancer (ERPC) invariably develops with more aggressive features. Management of ERPC is extremel...
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Multidimensional dynamics of object representations in the human visual system

bioRxiv Apr 30, 2026
Natural image representations are distributed across many dimensions of visual cortex activity, but little is known about how the multidimensional structure of these representations evolves over time following stimulus onset. Here we examined the tem...
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