ARC for the paper DeepSTABp: A deep learning approach for the prediction of thermal protein stability. deepSTABp an protein melting temperature predictor and was developt to overcome the limitations of classical experimental apporches, which are expensive, labor-intensive, and have limited proteome and species coverarge.
ARC for the paper DeepSTABp: A deep learning approach for the prediction of thermal protein stability. deepSTABp is an protein melting temperature predictor and was developt to overcome the limitations of classical experimental apporches, which are expensive, labor-intensive, and have limited proteome and species coverarge.
DeepSTABp uses a transformer-based Protein Language model for sequence embedding and state-of-the-art feature extraction in combination with other deep learning techniques for end-to-end protein Tm prediction.
DeepSTABp uses a transformer-based Protein Language model for sequence embedding and state-of-the-art feature extraction in combination with other deep learning techniques for end-to-end protein Tm prediction.
## Usage
## Usage
deepSTAPp can either used directly at:
deepSTAPp can either used directly at:[deepSTABp](https://csb-deepstabp.bio.rptu.de/)
An alternative is to clone this ARC and to run it locally.
An alternative tu using the Web interface is to clone this ARC and to run it locally.
### Setup environment
### Setup environment
You can create a conda enviroment directly from the yml file located in /workflows
You can create a conda enviroment directly from the yml file located in /workflows
