Mul-SNO: A novel prediction tool for S-nitrosylation sites based on deep learning methods |Home| Server| TrainData| TestData||
Introduction

S-nitrosylation (SNO) is one of the most important post-translational modifications and is formed by the covalent modification of nitric oxide and cysteine residues. Extensive studies have shown that SNO plays a pivotal role in the plant immune response and treating various major human diseases. Mul-SNO, a s-nitrosylation site prediction tool, mainly ensembles bidirectional long short-term memory (BiLSTM) and bidirectional encoder representations from Transformers (BERT). Through resampling technology, Mul-SNO has a better performance than related prediction tools.

Framework