Thanks for the video. Could you also please add the session you had with Professor Buehler in October to your channel?

Great talk by Brian. Would be interested to see if using multiple structures output from alphafold as the targets, try select for binders common across all, would it give some degree of dynamic binding.

Great content very helpful !

Very interesting❤

How do you run it to evaluate two different proteins interacting with each other?

cool

good sharing, thx~

epic

Does the iterative design workflow of filtering with AF2 then redesigning with ProteinMPNN multiple times increase the likelihood of a single conformation for the final sequence (after you've loop through ProteinMPNN-->AF2 multiple times)? see 9:40 timestamp for example. Seriously good content btw. Thank you for this.

really nice presentation!!!

Thank you Sergey! I was looking forward to hearing your take on AF3 and how to make the best out of it :)

we love sergey

good stuff

Thank you, Sergey! It was a very nice presentation :)

Thank you sir

Really happy to watch your video, learnt a lot things. Thanks

So cool 😎

is there any tutorial of combs method？

Kushelev: The nanotechnological level. of representation of the protein structure in the form of spirals does not give an idea of the mechanism of protein functioning. Another thing is "wheel on wheel, wheel on rail"

This was brilliant. Thank you!

Thank you for explaining how DiffDock works. How does DiffDock deal with non standard molecules in pdb? Do we need to remove them before docking?

An impressive speech

14:30 🎁 22:00 sequence for optimized function not structure

Very useful. Thank you so much.

nice work

9:45 the one & only area

2:20

wonderful idea

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Great talk

39:28 - Homo-oligomeric predictions

Don't know why youtube recommended this to me, not even biology student. But love it, super interesting.

Prof. Chris Snow from CSU brought me here! Go Rams!

very helpful

absolutely beautiful

Thank you very much for making both this resource and the video publicly available, as a complete structural biology novice, it was very helpful!

4:30 8:40 blood brain 🚧

Thank you so much for sharing this with us on KZbin ❤️‍🔥 from Tel Aviv

Why is this recomended to me lol

Thank you so much for sharing this with us

I am really not sure how I got this recommended, but I was pleasantly surprised.

Roughly what portion of tumors over express the necessary proteases? What is the next step? Are there animal studies underway? Thanks for sharing, this is very interesting!

❤

I love when science is public and collaborative. Thank you so much for this beautiful class and tutorial!

Can you have closed Colab while it is running a task and when it gets done, it will save it?

💗

That's a great presentation and tutorial! Thank you. I have one question: are the results of the predictions saved on google servers or after download they are deleted?

Great presentation! That really helped me with finding my way through the notebook!

Appreciated!

hi guys, thank you for this great lecture, I wanna ask about the prerequisites needed to do this kind of research, the math, biochemistry, and so on