NbFold enables accurate and rapid nanobody structure prediction through data-centric deep learning approach

NbFold is a deep learning framework for accurate and rapid nanobody structure prediction. This repository contains the trained model weights, benchmark datasets, prediction outputs, and evaluation results used in the accompanying paper. Contents:- Pretrained NbFold model weights- Benchmark nanobody datasets- Predicted structures- RMSD evaluation CSV files The model utilizes protein language model embeddings and structural refinement techniques for improved nanobody Fv prediction accuracy. These resources are provided to support reproducibility and further research in antibody and nanobody structure prediction.