DeepTAP Web Server

1. Input example

File: demo1.csv
peptide KADDDKPGA PTAWRSEMN AEASAAAAY KKTSLEKRM AAASAAYAY RRFGDKLNF ALAKAGAAV AAASAAAAK ALAAAAAAQ

2. Prediction result

Classification task: predicte binding relationship between TAP and peptide.
Threshold: 0.5

File: demo1_DeepTAP_cla_predresult.csv
peptide pred_score pred_label KADDDKPGA 0.504 1 PTAWRSEMN 0.3162 0 AEASAAAAY 0.9864 1 KKTSLEKRM 0.329 0 AAASAAYAY 0.9924 1 RRFGDKLNF 0.4895 0 ALAKAGAAV 0.8988 1 AAASAAAAK 0.9881 1 ALAAAAAAQ 0.9797 1
File: demo1_DeepTAP_cla_predresult_rank.csv
peptide pred_score pred_label AAASAAYAY 0.9924 1 AAASAAAAK 0.9881 1 AEASAAAAY 0.9864 1 ALAAAAAAQ 0.9797 1 ALAKAGAAV 0.8988 1 KADDDKPGA 0.504 1 RRFGDKLNF 0.4895 0 KKTSLEKRM 0.329 0 PTAWRSEMN 0.3162 0

Regression task: predicte binding affinity between TAP and peptide.
Threshold: 10000(nm)

File: demo1_DeepTAP_reg_predresult.csv
peptide pred_score pred_affinity pred_label KADDDKPGA 0.2527 101416.8672 0 PTAWRSEMN 0.2123 189066.4219 0 AEASAAAAY 0.5676 788.6664 1 KKTSLEKRM 0.5236 1553.2487 1 AAASAAYAY 0.7454 50.7622 1 RRFGDKLNF 0.6571 198.0564 1 ALAKAGAAV 0.3499 22637.9922 0 AAASAAAAK 0.4874 2714.0042 1 ALAAAAAAQ 0.2914 55835.6641 0
File: demo1_DeepTAP_reg_predresult_rank.csv
peptide pred_score pred_affinity pred_label PTAWRSEMN 0.2123 189066.4219 0 KADDDKPGA 0.2527 101416.8672 0 ALAAAAAAQ 0.2914 55835.6641 0 ALAKAGAAV 0.3499 22637.9922 0 AAASAAAAK 0.4874 2714.0042 1 KKTSLEKRM 0.5236 1553.2487 1 AEASAAAAY 0.5676 788.6664 1 RRFGDKLNF 0.6571 198.0564 1 AAASAAYAY 0.7454 50.7622 1

1. Input example

2. Prediction result

3. Contact

E-mail: zhanzhou@zju.edu.cn

Address: College of Pharmaceutical Sciences, Zhejiang University, Hangzhou

1. Input example

2. Prediction result

3. Contact

E-mail: zhanzhou@zju.edu.cn Address: College of Pharmaceutical Sciences, Zhejiang University, Hangzhou

E-mail: zhanzhou@zju.edu.cn

Address: College of Pharmaceutical Sciences, Zhejiang University, Hangzhou