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I'm looking forward to this. I can give you a bit of background. I've been studying biologic manufacturing and various companies, equipment providers, and manufacturers of biologics, including Danaher, Thermo Fisher, and Sartorius. I'm curious about AlphaFold. I've looked at AlphaFold briefly and I'm interested in how it's influencing the industry, how you are using it, and any potential impact it can have on innovation in the industry. Maybe you can tell me a bit about yourself, your background, and how you've ended up in this space.

AlphaFold reduces this workload by predicting protein structures computationally, sometimes eliminating the need for lab bench work. These predictions, based on AlphaFold's algorithm and transformer-based architecture, are quite accurate compared to real-life results.

This is a snippet of the transcript, sign up to read more.

I'm looking forward to this. I can give you a bit of background. I've been studying biologic manufacturing and various companies, equipment providers, and manufacturers of biologics, including Danaher, Thermo Fisher, and Sartorius. I'm curious about AlphaFold. I've looked at AlphaFold briefly and I'm interested in how it's influencing the industry, how you are using it, and any potential impact it can have on innovation in the industry. Maybe you can tell me a bit about yourself, your background, and how you've ended up in this space.

In academia, I typically use AlphaFold at the beginning of a project to predict potential structures based on available data from the PDB, where publicly available protein structures are stored. As AlphaFold has evolved, it can now predict multi-protein complexes, including protein-RNA and protein-DNA complexes, whereas it was initially limited to single monomers.

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