Computational models for identifying anti-diabetic peptides can accelerate the discovery of novel drug candidates for diabetes treatment. This study proposes a random forest (RF) based computational model for effectively predicting anti-diabetic peptides, called AntiDMPpred. As a freely available web service for discovering anti-diabetic peptides, you are welcome to use AntiDMPpred in your work.
If you use AntiDMPpred, please cite the following reference:
Xue Chen, Jian Huang, Bifang He. AntiDMPpred: a web service for identifying anti-diabetic peptides.