Introduction:
The web server pSuc-FFSEA is used to predict the lysine succinylation site in the protein. In this study, we developed a new predictor named pSuc-FFSEA, which predicts succinylation sites in protein sequences by multiple feature fusion and improved Stacking ensemble algorithm. Specifically, the sequence information and physicochemical information features are first extracted using an encoding scheme based on grouping weights, One-Hot, CBOW, chaos game representation, and discrete wavelet transform-based amino acid factor features.
Intput sequence:
The user can submit the sequence of the protein (example)). According to the sequence entered by the user, the model can predict whether the sequence contains a lysine succinylation site and return the result to the web interface.
Intput file:
Users can submit a multi-sequence file (in FASTA format) by clicking a button. pSuc-FFSEA Server will send the predicted results to the mailbox submitted by the user.
Program name:
User's naming of forecast project.
Email:
The email address used by the user to receive the prediction result.