DeepFunPre webserver

Knowledge of protein functions plays an important role in biology and medicine. With the rapid development of highthroughput technologies, a huge number of proteins have been discovered. However, there are a great number of proteins without functional annotations. To reduce this huge gap, we proposed two methods: DeepFunc, DeepGOA.

Please follow the three steps below to make predictions:

1. Upload a file with protein sequences, or paste them into text area

Server accepts up to 50(FASTA formated) protein sequences at a time.

Choose a fileNo file chosen

2. Parameter setting

We provide two methods to predict protein function. The default option is DeepGOA.

DeepFunc DeepGOA

Please provide your email address to be notified when results are ready(optional).

3. Predict:

Click button to launch prediction.

Help

Server accepts up to 50 protein sequences at a time. The user should submit the protein sequence(s) in FASTA format.

The format of the input file is as follows (Here is an example of input file.)

Line1: >Entry
Line2: protein sequence (1-letter amino acid encoding)

Each protein requires two lines and multiple proteins should be placed in consecutive lines.

References

Zhang F, Song H, Zeng M, et al. A deep learning framework for gene ontology annotation with sequence-and network-based information [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020.
Zhang F, Song H, Zeng M, et al. DeepFunc: a deep learning framework for accurate prediction of protein functions from protein sequences and interactions [J]. Proteomics, 2019, 19(12): 1900019.

Contact

This webserver is developed on a stable and flexible framework, which is easy to extend. If you have any questions or suggestions feel free to contact us. We look forward to hearing from you!

Telephone: +86-0731-88879560
Email: limin@mail.csu.edu.cn