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| info_text = (""" | |
| <div style="text-align: justify"> | |
| This application enables to inspect mutational effects on a | |
| predefined protein sequence.<br> | |
| <br> | |
| </div> | |
| <div style="text-align: justify"> | |
| It is built on the Prot-xLSTM backbone model, an xLSTM model specifically | |
| trained on protein sequences. Prot-xLSTM was trained using the | |
| Fill-In-the-Middle (FIM) objective, which allows it to perform sequence | |
| inpainting. Additionally, the model can be provided with a potentially | |
| large set of homologous sequences to enhance its predictions.<br> | |
| <br> | |
| </div> | |
| <div style="text-align: justify"> | |
| For further information please refer, to: <a href="https://openreview.net/forum?id=IjbXZdugdj" target="_blank">https://openreview.net/forum?id=IjbXZdugdj</a>. <br> | |
| <br> | |
| This Hugging Face application is based on the following GitHub repository: | |
| <a href="https://github.com/ml-jku/Prot-xLSTM?tab=readme-ov-file" target="_blank">https://github.com/ml-jku/Prot-xLSTM?tab=readme-ov-file</a>. <br> | |
| The streamlit application was developed by Elias Bürger. | |
| </div> | |
| <div style="text-align: justify"> | |
| Please cite us as follows: <br> | |
| </div> | |
| """) | |
| citation_text = """ | |
| @misc{ | |
| schmidinger2024bioxlstmgenerativemodelingrepresentation, | |
| title={Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences}, | |
| author={Niklas Schmidinger and Lisa Schneckenreiter and Philipp Seidl and Johannes Schimunek and Pieter-Jan Hoedt and Johannes Brandstetter and Andreas Mayr and Sohvi Luukkonen and Sepp Hochreiter and Günter Klambauer}, | |
| year={2024}, | |
| eprint={2411.04165}, | |
| archivePrefix={arXiv}, | |
| primaryClass={q-bio.BM}, | |
| url={https://arxiv.org/abs/2411.04165}, | |
| } | |
| """ |