Ri on AI: Understanding AlphaFold – with Dame Janet Thornton
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Published 2023-12-18
Lisa Derry is joined by Dame Janet Thornton, an oracle of bioinformatics and former Director of the European Bioinformatics Institute, to discuss how AlphaFold has revolutionised its field, and what it could do in the future.
This is the full video version of our latest podcast episode - let us know what you think of the new video format!
Production: Lia Hale
Thank you to our Christmas Lectures supporters and our title partner, CGI.
Search the AlphaFold database: alphafold.ebi.ac.uk/
Find out more about the 2023 CHRISTMAS LECTURES: www.rigb.org/christmas-lectures/truth-about-ai
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All Comments (21)
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You might have heard the audio version of this podcast which we recently published to the channel by mistake - but this is the full, video version, we hope you enjoy!
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Wonderful to see behind the scenes of real AI applications. Most AI use seems hidden due to commercial interests or all over the place with images and prompts for very little other than entertainment purposes. Thank you for making this!
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Such an amazing interview on a topic that I couldn't have even imagined would ever be possible. It makes me want to study biology. Thanks to The RI, Lisa, and Janet for putting this together!
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Good afternoon RI and Dame Janet Thornton Super facts in science and AI application explained splendidly. Truly grateful for you and your work. 💜
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Thank you Royal Institution (RI), greetings from Bimac Research Group at universidad del Cauca, Colombia.
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I have enjoyed the podcasts in the past but the video improves them tremendously as I have in the audio only casts wished I could see the body language and enthusiasm your speakers have and in the case of this one the simple but very clarifying examples of the models. Please keep up the excellent output.
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Wonderful. Thanks for sharing this podcast on YouTube! 👍😎🇦🇺
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Thank you so much for another gift of knowledge
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such a lovely interview, This was wonderful
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Amazing, thank you!
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So excited for the podcast and love this video version! If I could make a suggestion though, I found the lighting to be quite distracting due to the bright colors. If it could be subdued in future, it'd be perfect for me! Great work!!
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Really interesting podcast thank you Ri 👏🏼
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That just tickled my brain a little. I didnt really understand it. Encouraging to see great humans using great tools to help the world.
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Thank you. This was so interesting - even for a non-scientific golden oldie like me
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Fascinating
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A prediction: Alphafold and the people behind it will be the first AI team to win a Nobel prize for chemistry (with the proviso of the three people issue )...
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Are there ways to check the predicted protein structure is correct without having to use the techniques (e.g. x-ray crystallography) standardly employed to determine structure? Does the AI always get it right?
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Nice 👍
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12:18 Interviewer forgot to bring Thornton back to the 2nd problem originally mentioned at the beginning of that explanation. I suspect Thornton forgot she had listed two problems: the first being "folding" and the second being...?
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❤❤❤❤❤
