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  ## Description
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- RFdiffusion is an open source method for structure generation, with or without conditional information (a motif, target etc). It can perform a whole range of protein design challenges as we have outlined in [the RFdiffusion paper](https://www.biorxiv.org/content/10.1101/2022.12.09.519842v1).
 
 
 
 
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  **Things Diffusion can do**
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  - Motif Scaffolding
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  ### Partial diffusion
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- Something we can do with diffusion is to partially noise and de-noise a structure, to get some diversity around a general fold. This can work really nicely (see [Vazquez-Torres et al., BioRxiv 2022](https://www.biorxiv.org/content/10.1101/2022.12.10.519862v4.abstract)).
 
 
 
 
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  This is specified by using the diffuser.parial_T input, and setting a timestep to 'noise' to.
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  <p align="center">
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  <img src="./img/partial.png" alt="alt text" width="800px" align="middle"/>
 
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  ## Description
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+ RFdiffusion is an open source method for structure generation, with or without conditional information (a motif, target etc). It can perform a whole range of protein design challenges as we have outlined in [the RFdiffusion paper](https://www.biorxiv.org/content/10.1101/2022.12.09.519842v1
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+ ).
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  **Things Diffusion can do**
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  - Motif Scaffolding
 
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  ---
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  ### Partial diffusion
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+ Something we can do with diffusion is to partially noise and de-noise a structure, to get some diversity around a general fold. This can work really nicely (see [Vazquez-Torres et al., BioRxiv 2022](https://www.biorxiv.org/content/10.1101/2022.12.10.519862v4.abstract
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+ )).
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  This is specified by using the diffuser.parial_T input, and setting a timestep to 'noise' to.
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  <p align="center">
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  <img src="./img/partial.png" alt="alt text" width="800px" align="middle"/>