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  ![MemDLM diagram](./memdlm_schematic.png)
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- **arXiv preprint:** [link TBD]
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  Reparameterized diffusion models (RDMs) have recently matched autoregressive methods in protein generation, motivating their use for challenging tasks such as designing membrane proteins, which possess interleaved soluble and transmembrane (TM) regions.
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  ![MemDLM diagram](./memdlm_schematic.png)
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+ This is the repository for [Token-Level Guided Discrete Diffusion for Membrane Protein Design](https://arxiv.org/abs/2410.16735) published as an oral at the NeurIPS 2025 AI4Science Workshop. It is partially built on the [EvoFlow repo](https://huggingface.co/fredzzp/EvoFlow-650M-context-3070) (Peng 2025).
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  Reparameterized diffusion models (RDMs) have recently matched autoregressive methods in protein generation, motivating their use for challenging tasks such as designing membrane proteins, which possess interleaved soluble and transmembrane (TM) regions.
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