How to Run Claude Code with a Local LLM on Apple Silicon
Configure Claude Code to use a local model served by LM Studio on Apple Silicon, with a practical setup based on LM Studio's Anthropic-compatible API.
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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.
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