Update README.md

README.md

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 # Masked Discrete Diffusion Model for Protein Sequence Generation
 
-Here, we implement a masked discrete diffusion model for generating protein sequences. The model leverages the MDLM framework and ESM-2-650M for latent space representation and diffusion.
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+Masked Diffusion Language Models (MDLMs), introduced by Sahoo et al (arxiv.org/pdf/2406.07524), provide strong generative capabilities to BERT-style models. In this work, we pre-train and fine-tune ESM-2-150M on the MDLM objective to unconditionally generate realistic, high-quality membrane protein sequences.