※ Computational resources of protein propionylaion:
<1> Lysine propionylation Resource
<2> Propionylation Prediction Tools
<1> Lysine propionylation Resource
(1). CPLM 4.0: A comprehensive database for experimentally identified protein lysine modifications (Zhang, et al., 2022).
(2). dbPTM: An integrated database for more than 70 PTM types with annotations (Li, et al., 2022).
(3). UniProt: The universal protein knowledgebase contains lots of protein modification information including PTMs (UniProt Consortium, 2021).
<2> Propionylation Prediction Tools
(1). Li et al: A transfer learning-based approach for lysine propionylation prediction (Li, et al., 2021).
(2). ProPred: A predictor for protein propionylation sites based on SVM algorithm (Ju, et al., 2017).
(3). PropSeek: A method to identify potential prokaryotic lysine-propionylated sites with various features (Wang, et al., 2017).