Review Maps AI’s Role in Modern Drug Discovery
A comprehensive review in the Future Journal of Pharmaceutical Sciences details how artificial intelligence and machine learning are transforming drug ...
Tag: computational biology
Machine Learning Consensus Tool Identifies Reproducible Biomarkers Across Heterogeneous Transcriptomic Cohorts
Researchers developed TENTACLES, an open-source consensus machine learning framework that extracted reproducible gene signatures across 689 intestinal biopsy samples from ...
Fish Species Gained Schooling Sixty Times and Lost It Hundreds of Times
A large-scale computational study reveals that fish species independently gained collective schooling behavior roughly 60 times and lost it some ...
Clustered Mutations in Knowledge Graphs Improve Cold-Start Drug-Target Interaction Predictions
Researchers incorporated clustered somatic mutations into a knowledge graph embedding framework to enhance the computational prediction of drug-target interactions for ...
Single-Cell Gene Network Models Identify Disease Mechanisms Across Specific Cell Types
Junha Cha and Insuk Lee review computational frameworks that construct reference-based and de novo cell-type-specific gene networks from single-cell RNA ...
Computational Strategies Advance Allosteric Transcription Factor Biosensors for Environmental Pollutant Monitoring
A scientific review details how integrating molecular dynamics, free energy perturbation, and machine learning accelerates the rational design of allosteric ...
Review Analyzes Single-Cell RNA Sequencing Protocols, Computational Tools, and Research Applications
A comprehensive scientific review evaluates experimental protocols, computational processing pipelines, curated databases, and biomedical applications in single-cell RNA sequencing.
AI Expands Understudied Protein Structural Modeling but Encounters Critical Dynamic Hurdles
A comprehensive review evaluates how modern artificial intelligence architectures model understudied proteins and molecular interactions while detailing critical limitations in ...
Guidelines Outline How Graph Theory Can Accurately Model Complex Biological Networks
Researchers have outlined nine foundational guidelines to help computational biologists accurately apply graph theory and avoid analytical pitfalls in systems ...
Context-Aware Graph Diffusion Decouples Cellular Density From Spatially Variable Gene Detection
A node-attributed graph diffusion model named SpatioCAD decouples true spatial gene expression patterns from cellular density variations in heterogeneous tumor ...
Direction-Selective Retinal Cells Encode Motion Uniformly Despite Cardinal Preferences
Small populations of direction-selective retinal ganglion cells maintain uniform sensitivity across all motion directions by prioritizing the avoidance of sensitivity ...
Computational Model Identifies TPI1 as Ovarian Cancer Target
A new computational workflow identifies TPI1 as a metabolic target in ovarian cancer, with experimental validation confirming its role in ...
Computational Study Shows Proteomes Can Preserve Folds Without Glutamine
A computational investigation reveals that glutamine can be systematically removed from thousands of proteins while broadly preserving their native structural ...
Automated Workflow Extracts Dental Pulp Stem Cells
A new computational workflow automatically extracts mesenchymal stromal cells from human dental pulp single-cell RNA-sequencing data, revealing distinct transcriptomic profiles ...
DNA Bending Mechanics and Regulatory Factors Guide Nucleosome Organization in Fission Yeast
Computational modeling and genomic mapping reveal how DNA mechanical properties and regulatory proteins jointly coordinate nucleosome positioning and co-transcriptional splicing ...
CurvEdgeNet Predicts CircRNA-Disease Links Using Network Geometry
A new computational framework called CurvEdgeNet uses Ollivier-Ricci curvature to predict circRNA-disease associations with high accuracy on three benchmark datasets.
New PedXylo Platform Unifies Autosomal and Sex-Linked Pedigree Analysis at Scale
PedXylo delivers an open-source platform that integrates sex-linked and ancestral inbreeding analysis with structural pedigree diagnostics while scaling efficiently across ...
TriTower-m6Am Deep Learning Architecture Improves RNA Modification Site Prediction
Researchers have introduced TriTower-m6Am, a heterogeneous deep learning architecture that integrates semantic, sequential, and structural views of RNA to improve ...
Deep Learning Architecture Accelerates Disease Resistance Gene Discovery in Forest Trees
Researchers have developed MGS-HCT, a specialized deep learning framework that compresses massive, repeat-rich forest tree genomes to computationally design and ...
Mathematical Model Reveals How Membrane Tension Regulates Confined Cell Migration
A biophysical model demonstrates how membrane tension and cell-nucleus mechanical coupling regulate confined cell migration through narrow constrictions.
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