Di Meng

The paper introduces a classification framework for disordered flexible linkers and creates a comprehensive dataset of 1640 domain linkers, annotated with structural and sequence features.

LINKER-Pred provides deep learning tools to predict disordered flexible linkers in proteins using sequence data, achieving state-of-the-art performance on benchmarks.

PUNCH2 is a novel IDR predictor that improves accuracy using sequence embeddings and convolutional layers, outperforming existing methods on the CAID2 dataset.