AIMC Journal:
bioRxiv

Showing 421 to 430 of 4935 articles

EEG Microstate Sequences as Potential Brain-Computer Interface Triggers Derived from Motor Imagery Classification

bioRxiv Aug 23, 2026
EEG microstates are a distinct number of quasi-stable spatial distributions of brain activity. Microstate trajectories are strongly suspected to reflect the underlying neural mechanisms during information processing and are therefore also called the ...
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InterPET: A Curated Benchmark of Sequence Embeddings and Graph Architectures with Interpretability and Biological Validation for PETase Activity Prediction

bioRxiv Aug 23, 2026
Motivation: Machine learning has emerged as a powerful accelerator for identifying PET-hydrolyzing enzymes (PETases). Yet, published models are often evaluated on benchmark performance alone, leaving their biological validity unexamined. Here we pres...
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Progressive Loosening of a Dual Autoinhibitory Interface Activates PP2A-B56δ

bioRxiv Aug 23, 2026
Protein phosphatase 2A containing the B56{delta} regulatory subunit (PP2A-B56{delta}) is a critical signaling enzyme whose dysregulation is associated with cancer, neurodegenerative disorders, and Jordan's syndrome, a severe intellectual disability d...
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MemBack: An Equivariant Graph Neural Network for Backmapping Lipid Membranes

bioRxiv Aug 23, 2026
Backmapping coarse-grained simulations to atomistic resolution is central to multiscale molecular simulation but remains challenging for chemically complex lipid membranes. We introduce MemBack, an SE(3) equivariant graph neural network that reconstr...
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Brain alignment in deep neural networks emerges early and independently of object classification

bioRxiv Aug 23, 2026
Deep convolutional neural networks are leading models of biological vision, largely because of their strong brain alignment: their features predict neural responses better than earlier models. Yet they are believed to recognize objects differently, r...
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Classifying CRISPR-Cas9 Off-Target Cleavage Sites from GUIDE-seq Data: A Class-Imbalanced Machine Learning Benchmark

bioRxiv Aug 23, 2026
Off-target cleavage is a central safety concern for CRISPR-Cas9 genome editing, particularly in therapeutic applications where unintended double-strand breaks carry clinical risk. We benchmarked five machine learning classifiers: logistic regression ...
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AI supported in silico screening of chimeric antigen receptor therapy targets

bioRxiv Aug 22, 2026
Chimeric antigen receptor (CAR) cell therapy has achieved transformative clinical success through targeting of CD19 in refractory B cell malignancies, but extension of this strategy to solid tumors, other hematological malignancies, and autoimmune di...
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OncoGenRAG: Evidence-Grounded Retrieval and BioBERT Classification for Precision Oncology Variant Interpretation

bioRxiv Aug 22, 2026
The increasing use of tumor sequencing has intensified the need for fast, traceable interpretation of genomic variants. General-purpose large language models can produce fluent answers, but unsupported statements, weak provenance, and stale knowledge...
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KRAKEN: A provenance-tracked knowledge graph for multiomic and wellness research

bioRxiv Aug 22, 2026
Existing general-purpose biomedical knowledge graphs tend to focus on disease mechanisms and drug repurposing, leaving multiomic and wellness-relevant content underrepresented. KRAKEN (Knowledge Research & Analysis Kit for Evidence Networks) addresse...
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BindCORE: Biophysical Ensemble Learning for Predicting Interaction Sites in Intrinsically Disordered Regions

bioRxiv Aug 22, 2026
Intrinsically disordered proteins and regions (IDPs/IDRs) mediate diverse cellular functions through binding segments whose functional properties are encoded in dynamic conformational ensembles rather than a single static state. Existing predictors o...
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