
Sign up to save your podcasts
Or
Proteins, with their unique structures, have evolved over billions of years to perform a host of different functions essential to the processes that keep us alive. Using the same principles as artificial intelligence chatbots, scientists at Salesforce developed an AI language model called ProGen. Using large protein databases, ProGen was trained on the biological syntax of amino acid sequences, allowing it to design functional 3D protein structures. These proteins have useful properties that may be leveraged in healthcare and biosciences. In this episode, we talk with Dr. Nikhil Naik, Director of AI Research at Salesforce, leading the team of scientists behind ProGen. We discuss the inspiration for ProGen, the implications of AI-generated proteins, and the future of protein engineering in light of ever-evolving biotechnologies. Music credits: “Summer Lofi” and “Summer Winds” by Rukudzo.
4.9
4545 ratings
Proteins, with their unique structures, have evolved over billions of years to perform a host of different functions essential to the processes that keep us alive. Using the same principles as artificial intelligence chatbots, scientists at Salesforce developed an AI language model called ProGen. Using large protein databases, ProGen was trained on the biological syntax of amino acid sequences, allowing it to design functional 3D protein structures. These proteins have useful properties that may be leveraged in healthcare and biosciences. In this episode, we talk with Dr. Nikhil Naik, Director of AI Research at Salesforce, leading the team of scientists behind ProGen. We discuss the inspiration for ProGen, the implications of AI-generated proteins, and the future of protein engineering in light of ever-evolving biotechnologies. Music credits: “Summer Lofi” and “Summer Winds” by Rukudzo.
758 Listeners
2,049 Listeners
854 Listeners
317 Listeners
765 Listeners
651 Listeners
1,453 Listeners
56 Listeners
3,328 Listeners
393 Listeners
117 Listeners
1,656 Listeners
135 Listeners
86 Listeners
48 Listeners