AIMC Journal:
bioRxiv

Showing 601 to 610 of 4938 articles

MetaAMI: A Novel Meta-Learning Approach for Predicting In-Hospital Mortality in Acute Myocardial Infarction

bioRxiv
Acute myocardial infarction (AMI) is one of the leading cardiovascular diseases worldwide and remains a major cause of mortality. Early risk prediction can help clinicians identify high risk patients shortly after admission and support timely monitor...

SPINDLE: Unlocking protein dynamics from single-field NMR relaxation data using a deep learning ensemble.

bioRxiv
A protein's function is derived from its three-dimensional structure and the motions of the atoms about that structure. The detailed characterization of both macromolecular structure and dynamics provides an opportunity for understanding enzyme catal...

Metabolic brain networks switch between a sparsely connected baseline and highly integrated states to support cognition

bioRxiv
The human brain achieves cognitive flexibility by rapidly switching between large-scale functional network states. While network state switching is assumed to be an energetically demanding process, the direct metabolic and neurochemical foundation un...

Systematic modeling of phenotypic drug response profiles inpatient-derived organoids

bioRxiv
Patient-derived tumor organoids provide a physiologically relevant 3D disease model for preclinical drug discovery, surpassing the limitations of conventional 2D cell lines. To better capture the dynamic nature of organoid drug responses, we develope...

Striatal acetylcholine enables latent-state creation during reversal learning

bioRxiv
Like dopamine, acetylcholine is modulated in the striatum by reward-predicting cues and outcomes, yet its computational role remains unclear. Here, we manipulated dorsomedial striatal acetylcholine in mice performing a reversal learning task using ge...

Exploratory Network Analysis of Oral Bacteria Taste Signaling Autophagy Crosstalk in Oral Squamous Cell Carcinoma and Multi-Target Ligand Design for the MAPK1 STAT3 mTOR Axis

bioRxiv
G protein-coupled receptor (GPCR) signaling represents a critical interface between oral bacteria and host cellular regulation in oral squamous cell carcinoma (OSCC). Here, we integrated systems biology, exploratory machine learning, and structure-ba...

ATP-Free Fatty Aldehyde Biosynthesis Enables an Autonomous Lux-Based Bioluminescence System

bioRxiv
Autonomous bioluminescence systems enable continuous light emission in engineered organisms by genetically encoding both luciferase enzymes and their substrate biosynthetic pathways, offering a powerful platform for non-invasive and long-term monitor...

A curated human lactylome and protein language model framework enable accurate prediction and reveal local determinants of lysine lactylation

bioRxiv
Lysine lactylation is a dynamic post-translational modification that can alter protein function and has been implicated in diverse physiological and pathological processes. Accurate identification of lactylation sites is therefore important for defin...

CENO: A Genome-Scale World Model for Evolutionary Sequence Interpretation and Programmable Regulatory Design

bioRxiv
DNA encodes biological function across a continuum of sequence scales, from single-nucleotide and motif-level grammar to regulatory neighborhoods, chromatin-scale organization and evolutionary constraint. A useful model of genomes should therefore do...

LLM-powered Functional Gene Set Summarization with genesetGPT

bioRxiv
Transcriptomics datasets generated using next-generation sequencing techniques such as single cell RNA-sequencing (scRNA-seq) and spatially-resolved transcriptomics (SRT) allow researchers to study patterns in gene expression across celltypes, tempor...