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---
license: cc-by-nc-nd-4.0
extra_gated_fields:
Name: text
Company: text
Country: country
Specific date: date_picker
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type: select
options:
- Research
- Education
- label: Other
value: other
I agree to share generated sequences and associated data with authors before publishing: checkbox
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base_model:
- facebook/esm2_t30_150M_UR50D
pipeline_tag: fill-mask
---
# MeMDLM: De Novo Membrane Protein Design with Masked Discrete Diffusion Language Models
![image/png](https://cdn-uploads.huggingface.co/production/uploads/65bbea9a26c639b000501321/QQoEGgvJddR2JfE7tzMSR.png)
[Masked Diffusion Language Models (MDLMs)](arxiv.org/pdf/2406.07524), introduced by Sahoo et al, provide strong generative capabilities to BERT-style models. In this work, we pre-train and fine-tune ESM-2-150M protein language model (pLM) on the MDLM objective to scaffold functional motifs and unconditionally generate realistic, high-quality membrane protein sequences.
## Repository Authors
[Shrey Goel](mailto:[email protected]), Undergraduate Student at Duke University <br>
[Vishrut Thoutam](mailto:[email protected]), Student at High Technology High School <br>
[Pranam Chatterjee](mailto:[email protected]), Assistant Professor at Duke University
Reach out to us with any questions! |