bioRxiv

Showing 3801 to 3810 of 5001 articles

Quality assessment of RNA 3D structure models using deep learning and intermediate 2D maps

bioRxiv Jan 1, 2025
Accurate quality assessment is critical for computational prediction and design of RNA three- dimensional (3D) structures. In this work, we introduce RNArank, a novel deep learning-based approach to both local and global quality assessment of predict...
View on bioRxiv DOI

Moremi Bio Agent: Leveraging Agentic Large Language Model for the Discovery of Broad-Spectrum Antibiotics for Enterobacteriaceae

bioRxiv Jan 1, 2025
Antimicrobial resistance (AMR) is a pressing global health crisis, exacerbated by a stagnating antibiotic discovery pipeline and the emergence of multidrug-resistant pathogens such as Klebsiella pneumoniae. We hypothesize that dual-target strategies ...
View on bioRxiv DOI

Representation Transfer via Invariant Input-driven Neural Manifolds for Brain-inspired Computations

bioRxiv Jan 1, 2025
Domain adaptation is a core challenge for embodied AI deployed in unpredictable, noisy environments. Conventional deep models degrade under domain shifts and require costly retraining. Inspired by biological brains, we propose a modular framework whe...
View on bioRxiv DOI

White matter microstructure predicts effort and reward sensitivity

bioRxiv Jan 1, 2025
From rodents to humans, animals constantly face a central question: is the reward worth the effort? Effort and reward sensitivity in such situations vary substantially across individuals and ultimately shape goal-directed behavior. Yet, the brain mec...
View on bioRxiv DOI

Protein Structure Description with ρ, θ and ϕ: A Case Study with Caenopore-5

bioRxiv Jan 1, 2025
Since its establishment in 1971, the Protein Data Bank (PDB) has been using Cartesian coordinate system (CCS) as the standard framework for protein structure description with x, y, z. Despite the interconvertibility of CCS and spherical coordinate sy...
View on bioRxiv DOI

View, engage, predict: enhancing brain-behavior mapping with naturalistic movie-watching fMRI

bioRxiv Jan 1, 2025
Most brain-behavior mapping studies rely on resting-state functional connectivity (FC), but this approach has known accuracy limits and can be outperformed by movie-watching FC. Here, we present a novel deep neural network framework to predict cognit...
View on bioRxiv DOI

Federated Knowledge Retrieval Elevates Large Language Model Performance on Biomedical Benchmarks

bioRxiv Jan 1, 2025
Large language models (LLMs) have significantly advanced natural language processing in biomedical research, however, their reliance on implicit, statistical representations often results in factual inaccuracies or hallucinations, posing significant ...
View on bioRxiv DOI

Automated quantification of ecological interactions from video

bioRxiv Jan 1, 2025
Ecological interactions, such as predation, are fundamental events that underlie the flow and distribution of energy through food webs. Yet, directly measuring interaction rates in nature and how they vary across space and time remains a core challen...
View on bioRxiv DOI

Structural Connectome Analysis using a Graph-based Deep Model for Prediction of Non-Imaging Variables

bioRxiv Jan 1, 2025
We address the prediction of non-imaging variables based on structural brain connectivity derived from diffusion magnetic resonance images, using graph-based machine learning. We predict age and the mini-mental state examination (MMSE) score as examp...
View on bioRxiv DOI

Can large language models reliably extract human disease genes from full-text scientific literature?

bioRxiv Jan 1, 2025
Manual extraction of high-fidelity gene-disease-phenotype information from human genetics literature is a labor-intensive task that requires trained human genetics researchers to read through many primary research papers. This presents a major challe...
View on bioRxiv DOI
Popular Topics
Popular Journals