G. Chikenji

RINAMI: Residue‐attributed interpretable neural network for predicting absolute folding free energy by merging structure and sequence information

The proposed RINAMI model is established as an accurate and interpretable framework for ΔG prediction and provide a practical computational tool for evaluating and prioritizing protein designs prior to experimental testing.