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Example: Example:
CPP sequence FSLHRYMAWFCPWTGAWLMLD is predicted to **BIND** to the membrane. CPP sequence FSLHRYMAWFCPWTGAWLMLD is predicted to **BIND** to the membrane.
<img src="https://github.com/acid-design-lab/DataCon24/assets/82499756/b43c427b-c504-471d-97f8-fee6988ffd22" alt="drawing" width="500"/>
### Membrane permeability prediction Non-CPP sequence GSRVQIRCRFRNSTR is predicted **NOT TO BIND** to the membrane.
For so-called stapled peptides consisting of both natural and modified amino acids you can predict membrane permeability using [STAPEP package](https://github.com/dahuilangda/stapep_package) offering the full pipeline from data preprocessing to ML model development and use on novel samples.
<img src="https://github.com/acid-design-lab/DataCon24/assets/82499756/b43c427b-c504-471d-97f8-fee6988ffd22" alt="drawing" width="500"/> <img src="https://github.com/acid-design-lab/DataCon24/assets/82499756/22cd60b9-0d0f-4021-a61e-8b0865c8b583" alt="drawing" width="500"/>
Non-CPP sequence is predicted **NOT TO BIND** to the membrane. ### Membrane permeability prediction
<img src="https://github.com/acid-design-lab/DataCon24/assets/82499756/2b559f32-b117-49a0-a3a2-a3298dabcd6c" alt="drawing" width="500"/> For so-called stapled peptides consisting of both natural and modified amino acids you can predict membrane permeability using [STAPEP package](https://github.com/dahuilangda/stapep_package) offering the full pipeline from data preprocessing to ML model development and use on novel samples.

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