PD-L1 binding peptides are potential therapeutic agents for treating cancers. Computational models for identifying PD-L1 binding peptides can accelerate the discovery of these novel drug candidates. This study proposes the first support vector machine (SVM) based computational model for effectively predicting peptides targeting PD-L1, called PDL1Binder. As a freely available web service for discovering PD-L1 binding peptides, you are welcome to use PDL1Binder in your work.
If you use PDL1Binder, please cite the following reference:
Bifang He, Shanshan Yang, Jinjin Long, Xue Chen, Qianyue Zhang, Lin Ning, Heng Chen, Jian Huang. PDL1Binder: identifying PD-L1 binding peptides by incorporating next-generation phage display data and different peptide descriptors.
