AIMC Journal:
bioRxiv

Showing 2691 to 2700 of 4979 articles

Searching the Druggable Genome using Large Language Models

bioRxiv
The druggable genome encompasses the genes that are known or predicted to interact with drugs. The Drug-Gene Interaction Database (DGIdb) provides an integrated resource for discovering and contextualizing these interactions, supporting a broad range...

The Vesicular Glutamate Transporter Modulates Sex and Region-Specific Differences in Dopaminergic Neuron α-Synuclein Toxicity by Modifying Cytosolic Dopamine Levels

bioRxiv
Parkinson's disease disproportionately affects males; however, the cause of this sex difference is unknown. We found that expressing mutant -synuclein A53T in Drosophila dopamine neurons recapitulates the sex differences observed in human Parkinson's...

Predicting Enzyme pH Optima from Structure Using Equivariant Graph Neural Networks

bioRxiv
Enzyme activity and stability are strongly modulated by pH, making the catalytic pH optimum (pH opt) a key parameter in enzyme development and biotechnological applications. Experimental determination of pH opt is, however, labor-intensive and time-c...

Ancestral sequence reconstruction using generative models

bioRxiv
Ancestral sequence reconstruction (ASR) is a foundational task in evolutionary biology, providing insights into the molecular past and guiding studies of protein function and adaptation. Conventional ASR methods rely on a multiple sequence alignment ...

VAETracer: Mutation-Guided Lineage Reconstruction and Generational State Inference from scRNA-seq

bioRxiv
Somatic mutations accumulate with cell division and are key to understanding tumor evolution. While single-cell RNA sequencing (scRNA-seq) can effectively capture somatic mutations in the 3' untranslated region (3' UTR), enabling its use for lineage ...

PocketGNN: A Cross-Modal Framework Unifying Local 3D Pocket Geometry and Global Sequence Semantics for Enzyme Kinetic Prediction

bioRxiv
The enzyme turnover number (kcat) is a pivotal kinetic parameter for understanding biocatalytic efficiency, yet its accurate prediction remains a grand challenge due to the complex interplay between local physicochemical constraints and global evolut...

Pupil-DLC: an open-source deep learning pipeline for scalable, markerless tracking of pupil dynamics across conscious and unconscious states

bioRxiv
Pupil diameter provides a powerful, non-invasive biomarker of brain state, correlating with arousal, attention, cognitive processing, and level of consciousness. Despite its widespread use, pupillometry remains limited by software tools that lack sca...

Axonal theta oscillations evoke bursting in target hippocampal subregions

bioRxiv
Local field potentials (LFPs) measured in the extracellular matrix of the brain are postulated to arise from the integration of synaptic ionic currents and spread by volume conduction. However, there is a lack of consensus on whether these spatiotemp...

Robust Trachea Segmentation from CT Imaging Using Fully Automated and Prompt-Based Models

bioRxiv
Accurate trachea segmentation from computed tomography (CT) is a prerequisite for image- guided airway assessment, toward precision tracheostomy planning and safe endotracheal tube placement. Trachea-specific delineation remains challenging due to el...

COLLEMBOT: AI-Based Counting of Collembola for OECD 232 Tests

bioRxiv
Ecotoxicological tests with soil organisms, such as the collembolan Folsomia candida, are essential for assessing chemical risks in terrestrial ecosystems. However, the current Organization for Economic Co-operation and Development (OECD) 232 reprodu...