WebServer Description

Welcome to the SERT-StructNet Protein Secondary Structure Prediction Platform!

Our platform is meticulously designed to offer convenient and efficient tools, enabling users to perform accurate predictions of protein secondary structures. Explore the following key functionalities to harness the full potential of our platform:

Main Features:

• Protein sequence prediction:
  • Achieve protein secondary structure predictions by either manually inputting the protein sequence or uploading a fasta file.
  • Internally generated PSSM information is automatically fused with protein property features to enhance prediction accuracy.
• Results Overview:
  • Detailed presentation of input sequence information.
  • Prediction of generated protein secondary structure tags (H: α-helix, E: β-fold, C: coil).
• File Download:
  • Easily access and download the DSSP file containing the prediction results.

Usage Profile:

• Home:
  • Visit the homepage to gain insights into the platform's functionalities.
  • Explore the overall framework and graphical flow utilized in our research, presented on the right side.
• Predict:
  • You can click "Predict" in the upper right corner to enter the prediction interface, manually input sequence information or upload fasta file.
  • The system automatically generates internal PSSM information, incorporating nature features for predictions using our hybrid deep model.
• Result:
  • Display input information alongside predicted protein secondary structure labels.
  • Provide a convenient download button for the DSSP file.

Feature Highlights:

• User-Friendly Interface:Simple and intuitive operation for seamless predictions.
• High Accuracy:Elevate predictive model accuracy through the fusion of diverse features and advanced deep learning techniques.
• Visualized Results:Present predictions in a visually comprehensible manner
• Flexibility:Support manual input or fasta file uploads. Option to download DSSP files at the conclusion of predictions to cater to diverse needs.

Thank you for choosing to use our platform!
We hope that it will serve as a robust asset for your research and studies. Should you have any questions or suggestions, please don't hesitate to contact us.