AIMC Journal:
bioRxiv

Showing 2961 to 2970 of 4993 articles

Simulation-Based Inference at the Theoretical Limit: Fast, Accurate Microstructural MRI with Minimal diffusion MRI Data

bioRxiv Jan 1, 2025
Diffusion-weighted magnetic resonance imaging (dMRI) is an essential tool in neuro-science, providing non-invasive insights into brain microstructure. However, obtaining accurate maps demands long acquisitions, due to oversampling of the parameter sp...
View on bioRxiv DOI

Hybrid Generative Model: Bridging Machine Learning and Biophysics to Expand RNA Functional Diversity

bioRxiv Jan 1, 2025
Functional RNAs perform diverse catalytic roles, yet natural sequences represent only a narrow subset of what is possible. Rediscovering such activities requires exploring functional sequence diversity beyond natural RNAs. We introduce a hybrid gener...
View on bioRxiv DOI

vassi – verifiable, automated scoring of social interactions in animal groups

bioRxiv Jan 1, 2025
Behavioral biologists, from neuroscientists to ethologists, rely on observation and scoring of behavior. In the past decade, numerous methods have emerged to automate this scoring through machine learning approaches. Yet, these methods are typically ...
View on bioRxiv DOI

mamp-ml: A deep learning approach to epitope immunogenicity in plants

bioRxiv Jan 1, 2025
Eukaryotes detect biomolecules through surface-localized receptors, key signaling components. A subset of receptors survey for pathogens, induce immunity, and restrict pathogen growth. Comparative genomics of both hosts and pathogens has unveiled vas...
View on bioRxiv DOI

Improvements to Casanovo, a deep learning de novo peptide sequencer

bioRxiv Jan 1, 2025
Casanovo is a state-of-the-art deep learning model for de novo peptide sequencing from mass spectrometry proteomics data. Here we report on a series of enhancements to Casanovo, aimed at improving the interpretability of the scores assigned to predic...
View on bioRxiv DOI

Thermotaxis behavior of Drosophila melanogaster: A quantitative analysis of sensory-motor integration and heat avoidance

bioRxiv Jan 1, 2025
Bridging the gap between sensory input and behavioral output remains a central challenge in neuroscience. In Drosophila, the seemingly simple behavior of heat avoidance reflects a surprisingly intricate interplay between sensory processing and rapid ...
View on bioRxiv DOI

A deep learning method for predicting interactions for intrinsically disordered regions of proteins

bioRxiv Jan 1, 2025
Intrinsically disordered proteins or regions (IDPs/IDRs) adopt diverse binding modes with different partners, from coupled-folding-and-binding, to fuzzy binding, to fully-disordered binding. Characterizing IDR interfaces is challenging experimentally...
View on bioRxiv DOI

Literature-derived, context-aware gene regulatory networks improve biological predictions and mathematical modeling

bioRxiv Jan 1, 2025
Complex gene regulatory networks (GRNs) underlie most disease processes, and understanding disease-specific network structures and dynamics is crucial for developing effective treatments. Yet, literature-based analyses of GRNs often treat gene regula...
View on bioRxiv DOI

Reinforcement Learning for Antibody Sequence Infilling

bioRxiv Jan 1, 2025
We introduce a flexible framework for antibody sequence design that combines an infilling language model with reinforcement learning to optimize functional properties. Our approach leverages a pretrained infilling language model to generate specific ...
View on bioRxiv DOI

AstraROLE2 & AstraSUIT2: Multi-Task Annotation Models for Functional Profiling of Proteins

bioRxiv Jan 1, 2025
Most in-silico protein characterisation tools focus on only one aspect of protein function, forcing researchers to use multiple models or to bypass computational checks. Here we introduce AstraROLE2 and AstraSUIT2, two transformer-based, multi-task a...
View on bioRxiv DOI
Popular Topics
Popular Journals