AIMC Journal:
bioRxiv

Showing 1301 to 1310 of 4956 articles

Revisiting CPUs for Protein Folding: Xeon-Based Acceleration of AlphaFold2

bioRxiv May 29, 2026
Protein structure prediction via AlphaFold2 has revolutionized drug discovery, yet its end-to-end execution remains computationally intensive. While GPUs are traditionally favored for deep learning, the AlphaFold2 algorithm consists of heterogeneous ...
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Gap junctional coupling of molecular layer interneurons enables transient NMDA driven synchronization

bioRxiv May 29, 2026
Molecular layer interneurons (MLIs) play a crucial role in modulating the output of the cerebellar cortex through their inhibition of Purkinje cells. MLIs also inhibit other MLIs synaptically and are coupled electrically through gap junctions. While ...
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Passive Acoustic Monitoring within the Northwest Forest Plan Area: 2025 Annual Report

bioRxiv May 29, 2026
The Northwest Forest Plan (NWFP) Passive Acoustic Monitoring (PAM) program is a large-scale interagency biodiversity monitoring framework designed to assess the status and trends of northern spotted owls (Strix occidentalis caurina), barred owls (Str...
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Pansoma, a machine learning tool for identifying somatic variants using pangenome graphs

bioRxiv May 29, 2026
Somatic variant calling, the identification of mutations in non-germline cells acquired over an individual's lifetime, is critical for studying diseases, including cancer, and for developing precision oncology strategies. Traditional somatic variant ...
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DMPKformer: An Interpretable Multimodal Deep Learning Framework for Reliable ADMET Property Prediction

bioRxiv May 29, 2026
Accurate prediction of absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties remains a critical challenge in drug discovery. Traditional single modality approaches often fail to capture the complex, multi-scale relationship...
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SortIT - A Tool For Assessing Observer Variability And Creating Ground Truth Image Classification Datasets

bioRxiv May 29, 2026
Interobserver variability in pathological assessments is a well-recognized challenge that impacts diagnostic reliability and disease understanding. This variability exists across many subspecialties due to the subjective nature of evaluations. Artifi...
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Accurate Identification of Functional Residues Across the Human Proteome with TAMALE

bioRxiv May 29, 2026
The central challenge of the post-AlphaFold era is the "functional gap". Despite having structure predictions for nearly every human protein, we remain unable to systematically distinguish residues that drive activity from those that merely maintain ...
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CellExLink: End-to-end cell-type recognition and normalization in biomedical text

bioRxiv May 29, 2026
Cell-type extraction is an important task in biomedical text mining because biomedical literature contains evidence about cell types and cell-type-related biological interactions that supports studies of disease mechanisms, therapeutic response, and ...
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DINMC: A Deep Learning Framework for Interpretable Normative Model Construction and Pathological Brain Alteration Detection

bioRxiv May 29, 2026
Background and Objective: Normative modeling is a key tool for understanding brain alterations in neurodegenerative diseases, such as cerebellar-type multiple system atrophy. However, existing methods lack interpretability and fail to capture clinica...
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Transcriptomics-Conditioned Virtual Tissue Synthesis via Diffusion Transformers

bioRxiv May 29, 2026
Spatial transcriptomics couples hematoxylin and eosin (H&E) tissue morphology with spatially resolved gene expression (GE). However, generative models that exploit this coupling to synthesize tissue images from transcriptomic profiles remain scarce. ...
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