AIMC Journal:
bioRxiv

Showing 1921 to 1930 of 4956 articles

Activation mechanism of class A GPCRs: machine learninganalysis of experimental structural databases

bioRxiv Mar 27, 2026
Recent advances in cryo-electron microscopy and cryo-electron omography have dramatically increased the number of class A G protein-coupled receptor (GPCR) structures, especially in previously inaccessible G protein-bound, active-like conformations. ...
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EEG Foundation Model Improves Online Directional Motor Imagery Brain-computer Interface Control

bioRxiv Mar 27, 2026
Brain-Computer interfaces (BCIs) offer a link between neural signals and external computation, enabling control of devices for the purposes of restoring function to motor-affected individuals and enhancing capabilities of a wider set of populations. ...
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IDPForge: Deep Learning of Proteins with Global and Local Regions of Disorder

bioRxiv Mar 27, 2026
Although machine learning has transformed protein structure prediction of folded protein ground states with remarkable accuracy, intrinsically disordered proteins and regions (IDPs/IDRs) are defined by diverse and dynamical structural ensembles that ...
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Spectral and non-spectral EEG measures in the prediction of working memory task performance and psychopathology

bioRxiv Mar 26, 2026
Working memory (WM) supports the temporary maintenance of goal-relevant information and is disrupted across many neuropsychiatric disorders. We examined whether scalp electroencephalography (EEG) data features beyond spectral power, including wavefor...
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Inferring seagrass meadow resilience from self-organized spatial patterns

bioRxiv Mar 26, 2026
Assessing ecosystem resilience at large spatial scales remains a major challenge in ecology and conservation. While resilience is typically inferred from temporal dynamics or perturbation experiments, ecosystems governed by spatial self-organization ...
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WINDEX: A hierarchical integration of site- and window-based statistics for characterizing the footprint of positive selection in genome-wide population genetic data

bioRxiv Mar 26, 2026
Adaptive mutations, or mutations that confer a fitness benefit, can leave behind distinct signals in genetic data. Computational methods have improved the localization of adaptive mutations in genetic samples using a range of statistical and machine ...
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EEG-SSFormer: Towards a Robust Mamba-Based Architecture for Dementia Detection from Resting State Electroencephalography

bioRxiv Mar 26, 2026
Resting-state electroencephalography (rs-EEG) offers a cost effective and portable alternative to conventional neuroimaging for dementia screening, yet the lengthy, multichannel nature of rs-EEG makes learning robust representations challenging. Conv...
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Decoding Immunomodulatory Hydrogels for Arthritis: Comparative Insights from Predictive Machine Learning and Large Language Models

bioRxiv Mar 26, 2026
Hydrogels are increasingly recognized as promising therapeutics for arthritic joints, extending their traditional role as mechanical lubricants to modulators of joint immunity. However, the rational design of these materials remains challenging, with...
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FoundedPBI: Using Genomic Foundation Models to predict Phage-Bacterium Interactions

bioRxiv Mar 26, 2026
The scalability of phage therapy as a viable alternative or complement to antibiotics is limited by the labor-intensive experimental screening required to identify compatible phage-bacterium pairs. To accelerate this discovery process, we propose Fou...
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Scaling and Generalization of Discrete Diffusion Models for Tumor Phylogenies

bioRxiv Mar 26, 2026
Tumor phylogenies - rooted trees encoding clonal ancestry and mutation acquisition - are central to understanding cancer evolution, yet generating realistic phylogenies remains challenging. We investigate whether discrete graph diffusion can learn th...
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