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Engineering Plastic-Degrading Enzymes and PCSK9 Binders with Protein AI Tools

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In the past year, a new class of machine learning tools for protein engineering promise to change how we develop drugs and enzymes. However, in these early days, the industry is still trying to understand how to use these tools to do concrete things. After working with cutting-edge academic labs and computational biotech teams on real problems in research and industry, we’ve assembled a curated toolbox of graphically accessible protein engineering tools and demonstrate how to string them together for useful molecular design tasks. Thanks for reading LatchBio! Subscribe for free to receive new posts and support my work. Here we build two different proteins - plastic-degrading enzymes and blood cholesterol drugs - each with distinct scientific goals to show the flexibility of the toolkit and breadth of utility. To build enzymes we: 1. Finetune ProtGPT2 on enzyme sequences 2. Use finetuned ProtGPT2 to generate a library of novel enzymes 3. Create 3D protein structures with OmegaFold 4.

Engineering Plastic-Degrading Enzymes and PCSK9 Binders with Protein AI Tools A protein engineering toolkit for molecular design // Engineering enzymes to break down plastic with ProtGPT2, OmegaFold, TemStaPro // Designing drugs with RFDiffusion, ProteinMPNN, ColabFold Tahir D'Mello , Brontë Kolar , and Kenny Workman Oct 18, 2024 18 1 Share In the past year, a new class of machine learning tools for protein engineering promise to change how we develop drugs and enzymes. However, in these early days, the industry is still trying to understand how to use these tools to do concrete things. After

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