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README.md
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# RF*diffusion*
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<!--
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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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---
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RFdiffusion builds directly on the architecture and trained parameters of RoseTTAFold. We therefore thank Frank DiMaio and Minkyung Baek, who developed RoseTTAFold.
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RFdiffusion is released under an open source BSD License (see LICENSE file). It is free for both non-profit and for-profit use.
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---
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license: apache-2.0
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datasets:
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- nvidia/PhysicalAI-Autonomous-Vehicles
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language:
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- en
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metrics:
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- accuracy
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base_model:
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- facebook/sam3
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new_version: facebook/sam3
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pipeline_tag: feature-extraction
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library_name: diffusers
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tags:
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- biology
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---
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# RF*diffusion*
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<!--
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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"/>
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---
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RFdiffusion builds directly on the architecture and trained parameters of RoseTTAFold. We therefore thank Frank DiMaio and Minkyung Baek, who developed RoseTTAFold.
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RFdiffusion is released under an open source BSD License (see LICENSE file). It is free for both non-profit and for-profit use.
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