AIMC Journal:
bioRxiv

Showing 1241 to 1250 of 4956 articles

A Real-Time Automated Deep Learning Workflow for Non-invasive High-Magnification Imaging of C. elegans

bioRxiv
Caenorhabditis elegans is a premier model organism for aging and neurobiology research, valued for its short lifespan, optical transparency, genetic tractability, and well-mapped nervous system. Non-invasive automated recording of biomarkers is a fun...

Visual field map size constrains working memory precision

bioRxiv
Individual differences in working memory are associated with cognitive functioning and real-world outcomes, including general intelligence, academic achievement, and psychiatric and neurological disorders. Despite its importance, the neurobiological ...

OmniGene-4: A Unified Bio-Language MoE Model with Router-Level Interpretability

bioRxiv
How do multi-modal large language models that jointly process natural language and biological sequences (DNA, protein, structural alphabets) actually answer biological questions, especially sequence-grounded questions whose answer depends on residue-...

Predicting P-glycoprotein Substrate Status Using a Pretrained Graph Neural Network: A TDC Benchmark Study

bioRxiv
P-glycoprotein (Pgp/ABCB1) is a critical efflux transporter that significantly impacts drug bioavailability and multidrug resistance. Accurate prediction of Pgp substrate status is essential for early-stage drug discovery. In this study, we evaluate ...

Precise calcium-to-spike inference using biophysical generative models

bioRxiv
The intramolecular dynamics of fluorescent calcium indicators distort the relationship between calcium signals and action potentials (spikes), hampering efficient spike inference from calcium imaging. To address this problem, we characterized the cal...

An open-source stereotaxic container with an integrated cutting guide for human brain fixation during magnetic resonance imaging and sectioning for histology

bioRxiv
Introduction: Postmortem imaging at ultrahigh field strengths, such as 7 Tesla (7T) magnetic resonance imaging (MRI), enables unprecedented visualization of fine brain structures and pathology. However, precise registration between MRI and histology ...

Multi-omic data fusion reveals the in vivo enzyme kinetics of Vibrio natriegens at the genome-scale

bioRxiv
Vibrio natriegens is a halophilic, Gram-negative marine bacterium that is increasingly used in metabolic engineering applications due to its fast growth rate. In sparse minimal medium the organism has a doubling time of 25 minutes, which is about twi...

Modelling antibody structures at the speed of language

bioRxiv
Protein structure prediction is currently substantially slower than obtaining sequence representations of proteins. This leads to most property prediction methods relying solely on trivial or learned sequence embeddings. However, contemporary structu...

R-loop Prediction Reveals Generalization Limits of DNA Foundation Models Beyond Regulatory Genomics

bioRxiv
DNA foundation models are increasingly proposed as general-purpose representations for genomic prediction and design, yet their evaluation remains largely centered on conventional regulatory tasks. This leaves a critical question unresolved: do DNA f...

Vibe Coding Specificity Foundation Models

bioRxiv
Molecular recognition - the determination of which agent binds which target - governs adaptive immunity, gene regulation, signal transduction, RNA silencing, enzyme catalysis, and the selectivity of therapeutics. Determining binding specificity remai...