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README.md

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@@ -21,9 +21,35 @@ RFdiffusion is an open source method for structure generation, with or without c
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- Binder design
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- Design diversification ("partial diffusion", sampling around a design)
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## Getting started / installation
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# Table of contents
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- [RF*diffusion*](#rfdiffusion)
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- [Description](#description)
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- [Table of contents](#table-of-contents)
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- [Getting started / installation](#getting-started--installation)
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- [Conda Install SE3-Transformer](#conda-install-se3-transformer)
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- [Get PPI Scaffold Examples](#get-ppi-scaffold-examples)
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- [Usage](#usage)
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- [Running the diffusion script](#running-the-diffusion-script)
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- [Basic execution - an unconditional monomer](#basic-execution---an-unconditional-monomer)
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- [Motif Scaffolding](#motif-scaffolding)
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- [The "active site" model holds very small motifs in place](#the-active-site-model-holds-very-small-motifs-in-place)
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- [The `inpaint_seq` flag](#the-inpaint_seq-flag)
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- [A note on `diffuser.T`](#a-note-on-diffusert)
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- [Partial diffusion](#partial-diffusion)
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- [Binder Design](#binder-design)
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- [Fold Conditioning](#fold-conditioning)
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- [Generation of Symmetric Oligomers](#generation-of-symmetric-oligomers)
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- [Using Auxiliary Potentials](#using-auxiliary-potentials)
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- [Symmetric Motif Scaffolding.](#symmetric-motif-scaffolding)
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- [A Note on Model Weights](#a-note-on-model-weights)
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- [Things you might want to play with at inference time](#things-you-might-want-to-play-with-at-inference-time)
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- [Understanding the output files](#understanding-the-output-files)
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- [Conclusion](#conclusion)
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# Getting started / installation
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Thanks to Sergey Ovchinnikov, RFdiffusion is available as a [Google Colab Notebook](https://colab.research.google.com/github/sokrypton/ColabDesign/blob/v1.1.1/rf/examples/diffusion.ipynb) if you would like to run it there!
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