This server is designed for the prediction of mammalian enzymatic proteins (EPs). It will generate an email message containing numeric score for each protein in your submission that quantifies putative propensity to process enzymatic function. Putative annotations (a given protein is predicted either as a EP or non-EP) displayed on the result page are based on the judgement threshold input in this page. All comments, suggestions or requests regarding our work are welcome. For more information please contact biocomputinglab@sina.com.
Please follow the four steps below to make a prediction
HELP
PEP can accept five protein sequences for a sigle prediction. You should input the protein sequence in standard FASTA format, which begins with a symbol ">". The format of the input protein sequence is as follows:
Line 1: > PDB ID or UniProtKB ID or any other annotation(s)
Line 2: protein sequence (1-letter amino acid encoding)
Line 3: > PDB ID or UniProtKB ID or any other annotation(s)
Line 4: protein sequence (1-letter amino acid encoding)
Line 5: ...
The judgement threshold that input in STEP THREE will be used to generate putative annotations. Proteins gaining numeric score higher the threshold will be regard as a putative EP.
We will send a message reporting the detailed prediction result to the email address you input once the current prediction is finished. For more information in respect to its content, please make a try and see the result.
Citation
Upon the usage the users are requested to use the following citation:
Haiting Chai, Jian Zhang, 2018, Identification of Mammalian Enzymatic Proteins Based on Sequence-derived Features and Species-specific Scheme, IEEE Access, DOI: https://doi.org/10.1109/ACCESS.2018.2798284. link
Acknowledgments
We acknowledge with thanks the following databases and software used as a part of this server: