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--- |
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license: mit |
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language: |
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- en |
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metrics: |
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- r_squared |
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- mse |
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- mae |
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- pearsonr |
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pipeline_tag: tabular-regression |
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library_name: transformers |
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tags: |
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- biology |
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- proteomics |
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- thermostability |
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- PLM |
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--- |
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# PPTStab |
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[](https://huggingface.co/PurvaTijare/PPTStab) |
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PPTStab: Prediction and Designing of thermostable proteins with a desired melting temperature |
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PPTStab is an ANN+MLP based ensemble regressor model developed to predict the melting temperature of long protein sequences and also design thermostable proteins. |
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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. |
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It is designed for seamless usage, available via a webserver at https://webs.iiitd.edu.in/raghava/pptstab. |
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Please read/ cite the content about the PPTStab for complete information including working methodology and algorithm behind the approach. |
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- Paper: [Link](https://www.biorxiv.org/content/10.1101/2024.09.21.614294v1) |
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- Repository: [GitHub](https://github.com/raghavagps/pptstab) |
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## Citation |
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If you use this method in your research, please cite: |
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```bibtex |
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@article |
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{Tijare2024.09.21.614294, |
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author = {Tijare, Purva and Kumar, Nishant and Raghava, Gajendra P. S.}, |
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title = {Designing of thermostable proteins with a desired melting temperature}, |
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year = {2024}, |
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doi = {10.1101/2024.09.21.614294}, |
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eprint = {https://www.biorxiv.org/content/early/2024/09/24/2024.09.21.614294.full.pdf}, |
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journal = {bioRxiv} |
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} |
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``` |
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## Contact |
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For questions, do not hesitate to reach out and open an issue on here or on our **[GitHub](https://github.com/raghavagps/pptstab)**. |
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