AIMC Journal:
bioRxiv

Showing 3021 to 3030 of 4993 articles

An improved deep learning model for immunogenic B epitope prediction

bioRxiv Jan 1, 2025
The recognition of B epitopes by B cells of the immune system initiates an immune response that leads to the production of antibodies to combat bacterial and viral infections. Computational methods for predicting the epitopes on antigens have shown p...
View on bioRxiv DOI

A machine-learning-guided hydrogen-bonded organic framework for long-term, ultrasound-triggered pain therapy

bioRxiv Jan 1, 2025
Effective treatment of chronic pain remains hindered by the lack of drug delivery systems that simultaneously achieve long-term stability, high spatial precision, and non-invasiveness1,2,3. Here, we utilize a programmable, ultrasound-responsive drug ...
View on bioRxiv DOI

Online supervised learning of temporal patterns in biological neural networks under feedback control

bioRxiv Jan 1, 2025
In vitro biological neural networks (BNNs) provide a well-defined model system to constructively investigate how living cells interact with their environment to shape high-dimensional dynamics that could be used to generate a coherent temporal output...
View on bioRxiv DOI

ESMDynamic: Fast and Accurate Prediction of Protein Dynamic Contact Maps from Single Sequences

bioRxiv Jan 1, 2025
Understanding conformational dynamics is essential for elucidating protein function, yet most deep learning models in structural biology predict only static structures. Here, we introduce ESMDynamic, a deep learning model that predicts dynamic residu...
View on bioRxiv DOI

Microdroplet screening rapidly profiles a biocatalyst to enable its AI-assisted engineering

bioRxiv Jan 1, 2025
Engineering enzymes for increased efficiency is key to enabling sustainable, ‘green’ biocatalytic production processes in the chemical and pharmaceutical industries. This challenge can be tackled from two angles: by directed evolution, based on labou...
View on bioRxiv DOI

Early antifungal resistance prediction based on MALDI-TOF mass spectrometry and machine learning

bioRxiv Jan 1, 2025
Antimicrobial resistance (AMR) is a significant global health threat. Recent studies have shown that combining MALDI-TOF mass spectrometry with machine learning (ML) algorithms can accelerate AMR determination. However, these efforts have predominant...
View on bioRxiv DOI

AOP Net: An AI-Enhanced Software Platform for the Visualization and Analysis of Complex Toxicological Pathways

bioRxiv Jan 1, 2025
The Adverse Outcome Pathway (AOP) framework is a cornerstone of 21st-century toxicology, providing a structured method for organizing mechanistic knowledge to support risk assessment. However, the inherent complexity of biological systems, characteri...
View on bioRxiv DOI

Selective changes in cortical cholinergic signaling during learning

bioRxiv Jan 1, 2025
Cognition relies on the function of local and long-range neural circuits in the neocortex, which are dynamically regulated by neuromodulatory signals including acetylcholine (ACh). Recent work suggests that the role of acetylcholine varies across cor...
View on bioRxiv DOI

Functional Connectivity in Self-limited Epilepsy with Centrotemporal Spikes (SeLECTS) Increases with Epilepsy Duration and Interictal Spike Exposure

bioRxiv Jan 1, 2025
To determine the impact of epilepsy duration and interictal spikes on functional connectivity in children with Self-Limited Epilepsy with Centrotemporal Spikes (SeLECTS). Connectivity was calculated from electroencephalograms (EEGs) of 68 children wi...
View on bioRxiv DOI

Neuronal Decoding of Decisions in Multidimensional Feature Space Using a Gated Recurrent Variational Autoencoder

bioRxiv Jan 1, 2025
Recent advances in neuroscience enable recording neuronal signals across hundreds of channels while subjects perform complex tasks involving multiple stimulus dimensions. In this study, we developed a novel encode-decode-classify framework employing ...
View on bioRxiv DOI
Popular Topics
Popular Journals