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S8kPred Consensus is a unified secondary structure prediction portal. By selecting multiple state-of-the-art tools, you can generate a consensus prediction that leverages evolutionary information and conformational preferences across different algorithms to achieve higher structural accuracy.

Consensus Secondary Structure Prediction

Pick at least two tools for a meaningful consensus.

Citations

If you use any of these tools, please cite the relevant publications:

S8kPred v1.0

Kumar, Mayank & Rathore, R. S. (2026). S8Kpred: a Novel Approach to Protein Secondary Structure Prediction Using 8,000 Tripeptide Propensities.

Website

PSIPRED v4.0

Buchan, D. W. A., Moffat, L., Lau, A., Kandathil, S. M., & Jones, D. T. (2024). Deep learning for the PSIPRED Protein Analysis Workbench. Nucleic acids research, 52(W1), W287–W293.

DOI: 10.1093/nar/gkae328 | License: Academic | GitHub

Porter 5 v5.0.334

Torrisi, M., Kaleel, M., & Pollastri, G. (2018). Porter 5: fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes. bioRxiv.

DOI: 10.1101/289033 | License: CC BY-NC-SA 4.0 | GitHub

S4Pred v1.2.4

Moffat, L., & Jones, D. T. (2021). Increasing the accuracy of single sequence prediction methods using a deep semi-supervised learning framework. Bioinformatics, 37(21), 3744–3751.

DOI: 10.1093/bioinformatics/btab491 | License: GPL 3.0 | GitHub