The new AlphaFold paper is here: www.nature.com/articles/s4158... Previous AlphaFold video: • How AlphaFold solves p... The research I referenced that OpenAI did on multimodal models is here: openai.com/index/clip/
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@videotimebaby9014 күн бұрын
Your last videos got me curious and started looking at Alphafold and am now seriously considering making it my goal to work in that field. Thank you 🎉
@LookingGlassUniverse14 күн бұрын
That's awesome! I'd love to hear more if you do go down that path! My email is on my "about" page
@aniksamiurrahman636514 күн бұрын
AI or Biology?
@shadowskullG13 күн бұрын
@@aniksamiurrahman6365 for me it's ai, I've been working my way for the past 2 years, gained a lot of knowledge and theory , now I want to get a degree
@Phillyosopher11 күн бұрын
I wouldn't if I were you, there will be no jobs thanks to alphafold itself.
@aniksamiurrahman636511 күн бұрын
@@Phillyosopher Its exactly the other way. More things are possible for Biotech industries now, and thus more opportunity.
@igNights7714 күн бұрын
Good stuff Mithuna keep it coming!
@ItAintNecessarilySo14 күн бұрын
Thank you so much for sharing your insights into this! You have a real gift for seeing and explaining things
@TedToal_TedToal14 күн бұрын
Another great video on alpha fold. Thanks!
@insidejazzguitar811214 күн бұрын
Fascinating. I really learned something, which says something about your ability to teach, because this is not my wheelhouse
@codeawareness14 күн бұрын
We live in some very interesting times, indeed. Thank you for this video! Just a few notes, and maybe you can address them in a next video. Apparently it's not capable of working with any ligands, just a subset provided by the AI vendor. Also, it seems a ligand with many rotary bonds might be overwhelming for pair representation matrix. Still, many people think this new version will most likely help make important leaps for the drug design industry.
@CosmicCells9 күн бұрын
Great video, you have a great way of explaining complicated concepts!
@Pradowpradow14 күн бұрын
Not related to the video but I really love your handwriting
@tafazziReadChannelDescription14 күн бұрын
Yeah I can see how once you do away with the "triangles" or any other modeling of the relatedness of neighboring amino acids, the data about the evolutionary history of the molecule would not be as important as it was before. It's crazy that you can get atom-by-atom predictions in molecules as big as protein complexes in reasonable computational time. If I had to guess, a goal for the next decade in protein structure algorhythms would be to turn an input that's like "I want a protein that catalyzes this reaction under these conditions" and it spits out a hybrid protein sequence that does that, predicting the speed of the reaction.
@rachel_rexxx14 күн бұрын
Concise and understandable. Thanks!
@tcaDNAp13 күн бұрын
I guess this channel will always be my favorite! I just learned about pair representations on NanoRooms and now I know an application and a prediction about the future of AI tools 🤯
@tcaDNAp13 күн бұрын
Maybe it can fold proteins, but AI can never predict the connections that Mithuna will come up with next!
@f.andersen382414 күн бұрын
I just read a Book of Manfred Spitzer about AI. AlphaFold was also mentioned but not fully explained in detail. He mentioned those triangels forming the proteins backbone. But not how they are arranged and that there be so many. 😅
@VirtuousSaint13 күн бұрын
that chair looks really comfortable
@sanemmanueljames294712 күн бұрын
You are so awesome. Well explained
@Micro-bit13 күн бұрын
Great stuff - Im so excited about AF3. I think new ML techincs will boost whole science and inventions.
@dking798514 күн бұрын
awesome explanation!
@SzTz10014 күн бұрын
You got me interested in this subject, although I don't know why.
@tanchienhao10 күн бұрын
what a time to be alive!
@LookingGlassUniverse10 күн бұрын
Two Minute Papers? Love that channel
@tanchienhao9 күн бұрын
@@LookingGlassUniverse yesss!!!
@hitoshiyamauchi13 күн бұрын
Thanks a lot! 😀
@ThePowerLover13 күн бұрын
The simplicity is expected, GPT-4o seems to be simpler than other GPT-4 variants, (less disintegrated) more integrated.
@dogslife483113 күн бұрын
Alpha Fold 3 looking good
@joehopfield13 күн бұрын
Perfect overview - just the right level of background and detail. I suspect that non-drug protein / molecule design will have a much bigger impact than novel drugs only for the wealthiest few % of all humans. (Drugs aren't going to fix rapacious capitalism and inequality)
@tafazziReadChannelDescription13 күн бұрын
Drugs fix illnesses, not politics
@tomholroyd751913 күн бұрын
"merely" astonishing
@finalfan32113 күн бұрын
i loved this!
@ApprendreSansNecessite14 күн бұрын
I feel very uncomfortable regarding AI, especially generative AI but your recent videos have changed my feelings somewhat.
@aniksamiurrahman636514 күн бұрын
The only discomfort I feel is, due to these AIs, we might never discover the underlying physics. Researchers might just stop working on them.
@ashishpatel35014 күн бұрын
Going to be fun times in the future. At least for drug companies
@BooleanDisorder14 күн бұрын
Bah! I am waiting for SigmaFold 😎 /s
@DistortedV1214 күн бұрын
Since when does she cover AI content, what happened to the physics from her Ph.D?
@miskee1114 күн бұрын
Physics has been stuck for a hundred years. AI and crypto are what actually matter now.
@aniksamiurrahman636514 күн бұрын
@@miskee11Crypto? It went nowhere at least 5 yrs ago. Soon might lose it's usefulness in speculation as well.
@MedusaSkirt13 күн бұрын
@@miskee11 you may be interested in a video by physicist Angela Collier titled "a physicist responds: physics has done very little for like 70 years"
@tafazziReadChannelDescription13 күн бұрын
@@miskee11 But sir le graphene! Le superconductors at room temperstures! Le heckin nuclear fusion?! We need more billions of units of currency to make those things real (for real this time, promise)
@miskee1113 күн бұрын
@@tafazziReadChannelDescription The Industrial Revolution and its consequences have been a disaster for the human race.