AI
Posts tagged “AI”.
Exploring RNA Biology with Deep Learning Algorithms
An RNA Biology article collection on deep learning methods in transcriptomics, RNA structure prediction, and molecular design.
From structure to function in Musashi-RNA complexes
This review article surveys how computational modeling, molecular dynamics, and AI-derived structures help explain Musashi-RNA recognition in both cellular regulation and viral pathogenesis.
Bayesian approximation of RNA folding times
This workshop paper introduces the core KinPFN idea: approximating RNA first-passage-time distributions with a prior-data fitted network trained on synthetic folding-time priors.
KinPFN for RNA folding kinetics
KinPFN uses prior-data fitted networks to approximate first-passage-time distributions for RNA folding kinetics orders of magnitude faster than direct simulation.
RNA-protein complex refinement using AI modeling and docking
This article explains a workflow for refining protein-RNA complexes by combining AI-based structural models with flexible docking and enhanced sampling.