ProteoPeptides:利用机器学习/深度学习预测肽段鉴定效率及酶切概率的分析平台
发布时间: 2023-06-05 10:41:43
【平台简介】
Here, we present a web server named ProteoPeptides for proteotypic peptide prediction for eight commonly-used proteases, including trypsin, ArgC, chymotrypsin, GluC, LysC, AspN, LysN, and LysargiNase. Based on our previous work (Analytical Chemistry, 93:6094-6103, 2021), we implemented four deep learning (DL) models, including not only the digestibility and detectability models (referred to as DL_Dig and DL_Det), but also two models for peptide retention time (DL_RT) and charge state (DL_Chg), which are two essential features for in silico library construction in DIA data analysis. ProteoPeptides only needs protein sequences as input. The results are graphically visualized and are downloadable.
【平台链接】
https://proteopeptides.ncpsb.org.cn/
【文献索引】
Gao, Z., Chang, C., Yang, J., Zhu, Y., and Fu, Y. (2019). AP3: An Advanced Proteotypic Peptide Predictor for Targeted Proteomics by Incorporating Peptide Digestibility. Anal Chem 91, 8705-8711.
Yang, J., Gao, Z., Ren, X., Sheng, J., Xu, P., Chang, C., and Fu, Y. (2021). DeepDigest: Prediction of Protein Proteolytic Digestion with Deep Learning. Anal Chem 93, 6094-6103.
【首页示例】
【平台简介】
Here, we present a web server named ProteoPeptides for proteotypic peptide prediction for eight commonly-used proteases, including trypsin, ArgC, chymotrypsin, GluC, LysC, AspN, LysN, and LysargiNase. Based on our previous work (Analytical Chemistry, 93:6094-6103, 2021), we implemented four deep learning (DL) models, including not only the digestibility and detectability models (referred to as DL_Dig and DL_Det), but also two models for peptide retention time (DL_RT) and charge state (DL_Chg), which are two essential features for in silico library construction in DIA data analysis. ProteoPeptides only needs protein sequences as input. The results are graphically visualized and are downloadable.
【平台链接】
https://proteopeptides.ncpsb.org.cn/
【文献索引】
Gao, Z., Chang, C., Yang, J., Zhu, Y., and Fu, Y. (2019). AP3: An Advanced Proteotypic Peptide Predictor for Targeted Proteomics by Incorporating Peptide Digestibility. Anal Chem 91, 8705-8711.
Yang, J., Gao, Z., Ren, X., Sheng, J., Xu, P., Chang, C., and Fu, Y. (2021). DeepDigest: Prediction of Protein Proteolytic Digestion with Deep Learning. Anal Chem 93, 6094-6103.
【首页示例】
