README.md

metadata

license: cc-by-nc-nd-4.0
extra_gated_fields:
  Name: text
  Company: text
  Country: country
  Specific date: date_picker
  I want to use this model for:
    type: select
    options:
      - Research
      - Education
      - label: Other
        value: other
  I agree to share generated sequences and associated data with authors before publishing: checkbox
  I agree not to file patents on any sequences generated by this model: checkbox
  I agree to use this model for non-commercial use ONLY: checkbox
base_model:
  - facebook/esm2_t30_150M_UR50D
pipeline_tag: fill-mask

MeMDLM: De Novo Membrane Protein Design with Masked Discrete Diffusion Language Models

Masked Diffusion Language Models (MDLMs), 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, Undergraduate Student at Duke University
Vishrut Thoutam, Student at High Technology High School
Pranam Chatterjee, Assistant Professor at Duke University

Reach out to us with any questions!