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

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