※ 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).