---
license: mit
language:
- en
metrics:
- r_squared
- mse
- mae
- pearsonr
pipeline_tag: tabular-regression
library_name: transformers
tags:
- biology
- proteomics
- thermostability
- PLM
---
# PPTStab

[![Hugging Face Model Card](https://img.shields.io/badge/Hugging%20Face-Model%20Card-blue)](https://huggingface.co/PurvaTijare/PPTStab)

PPTStab: Prediction and Designing of thermostable proteins with a desired melting temperature

PPTStab is an ANN+MLP based ensemble regressor model developed to predict the melting temperature of long protein sequences and also design thermostable proteins.
It integrates state-of-the-art LLMs like ProtBert, ProtT5-XL-UniRef50, Ankh, ProtGPT2, ProstT5 based embeddings into the architecture to advance the predictive modeling capabilities.
It is designed for seamless usage, available via a webserver at https://webs.iiitd.edu.in/raghava/pptstab.

Please read/ cite the content about the PPTStab for complete information including working methodology and algorithm behind the approach.

- Paper: [Link](https://www.biorxiv.org/content/10.1101/2024.09.21.614294v1)
- Repository: [GitHub](https://github.com/raghavagps/pptstab)

## Citation

If you use this method in your research, please cite:

```bibtex
@article
 {Tijare2024.09.21.614294,
author = {Tijare, Purva and Kumar, Nishant and Raghava, Gajendra P. S.},
title = {Designing of thermostable proteins with a desired melting temperature},
year = {2024},
doi = {10.1101/2024.09.21.614294},
eprint = {https://www.biorxiv.org/content/early/2024/09/24/2024.09.21.614294.full.pdf},
journal = {bioRxiv}
}
```

## Contact

For questions, do not hesitate to reach out and open an issue on here or on our **[GitHub](https://github.com/raghavagps/pptstab)**.

---