bioRxiv

Showing 4871 to 4880 of 5021 articles

Temporal Dynamics of Flexible Cognitive Control

bioRxiv
In dynamic environments, flexible cognitive control adaptively adjusts processing through proactive mechanisms deployed in advance and reactive mechanisms engaged upon conflict. Previous studies have primarily focused on identifying neural networks s...

Leveraging Multimodal Large Language Models to Extract Mechanistic Insights from Biomedical Visuals: A Case Study on COVID-19 and Neurodegenerative Diseases

bioRxiv
The COVID-19 pandemic has intensified concerns about its long-term neurological impact, with growing evidence linking SARS-CoV-2 infection to neurodegenerative diseases (NDDs) such as Alzheimer’s (AD) and Parkinson’s (PD). Patients with these conditi...

Qimai: a multi-agent framework for zero-shot DNA-protein interaction prediction

bioRxiv
Accurate prediction of DNA-protein interactions, a fundamental task in genomics, is limited by the poor generalization of existing models to novel proteins not seen during training. To address this challenge, we introduce Qimai, a modular AI agent fr...

KSMoFinder - Knowledge graph embedding of proteins and motifs for predicting kinases of human phosphosites

bioRxiv
Protein kinases regulate cellular signaling pathways through a cascade of phosphorylation activity, selectively targeting specific residues on substrate proteins (phosphosites). Determining the characteristics of kinases that phosphorylate specific s...

Assembly of Macromolecular Complexes in the Whole-Cell Model of a Minimal Cell

bioRxiv
Macromolecular complexes in the genetically minimized bacterium, JCVI-syn3A, support gene expression (RNA polymerase, ribosome, degradosome), metabolism (ABC transporters, ATP synthase) and chromosome dynamics. In this work, we further incorporate th...

Neural trajectories improve motor precision

bioRxiv
Populations of neurons in motor cortex signal voluntary movement. Most classic neural encoding models and current brain-computer interface decoders assume individual neurons sum together along a neural dimension to represent movement features such as...

Integrating theory and machine learning to reveal determinants of plasmid copy number

bioRxiv
Plasmids are extrachromosomal mobile genetic elements whose copy numbers (PCNs) critically influence microbial evolution, antibiotic resistance and pathogenicity. Despite their importance and immense diversity, the ecological, evolutionary and molecu...

Symmetry breaking and avalanche shapes in modular neural networks

bioRxiv
Modularity is as a key characteristic of structural and functional brain networks across species and spatial scales. We investigate the stochastic Wilson-Cowan model on a modular network in which synaptic strengths differ between intra-module and int...

scRGP: Prediction of Single-cell Genetic Perturbation Transcriptional Responses based on Rank in Multiple Scenarios

bioRxiv
Single-cell perturbation sequencing technologies (e.g., Perturb-seq, CROP-seq), which integrate CRISPR-based gene editing with single-cell transcriptome profiling, have revolutionized the analysis of transcriptomic changes induced by genetic perturba...

Kidney Tissue Characterization using Normalized Raman Imaging and Segment-Anything

bioRxiv
Normalized Raman Imaging (NoRI) enables high-resolution, label-free quantification of protein and lipid concentrations in biological tissues. Because NoRI provides rich molecular information, the analysis of its large, multi-channel datasets turns in...