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Greg Koytiger proslijedio/la je Tweet
Here is the promised blogpost: https://protocolsmethods.springernature.com/users/346093-mohammed-alquraishi/posts/58576-imbuing-machine-learning-with-a-hint-of-biophysics … on the motivation behind our modeling / ML approach for protein-peptide interactions. We'll likely have another post soon focused more on the (structural) biology.
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Greg Koytiger proslijedio/la je Tweet
Glad to see
@DeepMindAI’s AlphaFold paper finally out. I had the pleasure of being one of the reviewers and getting to write the accompanying@NatureNV article. The future of protein structure prediction is looking very bright!https://twitter.com/mvicaracal/status/1217553842272907266 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Greg Koytiger proslijedio/la je Tweet
Researchers developed a bespoke machine-learning approach, hierarchical statistical mechanical modelling, for the accurate prediction of protein–peptide interactions across multiple protein families.
@MoAlQuraishi@GregKoytiger@naturemethodshttps://www.nature.com/articles/s41592-019-0687-1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
For me, the most important take away is Figure 5 - that current machine learning approaches are of higher fidelity than high throughput experiments! For another example, see Figure 2b from the Nature Methods paper yesterdayhttps://www.nature.com/articles/s41592-019-0687-1 …
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Dream Kinase prediction challenge paper is now on Biorxiv! (Unofficial) top performing model by yours truly
@DR_E_A_Mhttps://www.biorxiv.org/content/10.1101/2019.12.31.891812v2.supplementary-material …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Greg Koytiger proslijedio/la je Tweet
Our field isn't quite "artificial intelligence" -- it's "cognitive automation": the encoding and operationalization of human-generated abstractions / behaviors / skills. The "intelligence" label is a category error
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Greg Koytiger proslijedio/la je Tweet
I’m late to my own party but excited to share our new work on predicting SLiM-mediated protein-protein interactions, out today in
@naturemethods with Joe Cunningham,@GregKoytiger, and@sorger_peter! A blogpost is forthcoming but for now a tweetstorm (1/8)https://www.nature.com/articles/s41592-019-0687-1 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Greg Koytiger proslijedio/la je Tweet
Joseph Cunningham
@GregKoytiger Peter Sorger and@MoAlQuraishi use energy-based ML to predict protein-peptide interactions. Their model is interpretable, naturally incorporates physical "priors", and outperforms high-throughput experiments! https://www.nature.com/articles/s41592-019-0687-1 …pic.twitter.com/BhXCDQSYCJ
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Greg Koytiger proslijedio/la je Tweet
The path of a maturing thinker. In order to get to Grown-Up Mountain and start real learning, you have to brave the cold winds of Insecure Canyon. If you're not willing to say "I don't know" for a while, you might spend your whole life on Child’s Hill.pic.twitter.com/8YT6emJcB3
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Greg Koytiger proslijedio/la je Tweet
A piece of holiday-time reflection: one thing I’m grateful about in science is the existence of a real field-wide community, made more visible by Twitter. I suspect this is less true in other professions and is a genuinely positive feature.
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Greg Koytiger proslijedio/la je Tweet
Happy holidays from the Cascade team (minus a few)! It's been an amazing year with these incredible people, here's to an even better 2020!pic.twitter.com/S5Owwwq1N5
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Greg Koytiger proslijedio/la je Tweet
Reminder: student evaluations of teaching tend to show stark racial and gender biases, and don't actually measure teaching effectiveness. A statement endorsed by 22 scholarly associations calls for limiting the role of student ratings in faculty review: https://www.asanet.org/sites/default/files/asa_statement_on_student_evaluations_of_teaching_sept52019.pdf …
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Greg Koytiger proslijedio/la je Tweet
How To Deliver Christmas Presents https://xkcd.com/2234/ https://m.xkcd.com/2234/ pic.twitter.com/MkqjzmFPh3
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Greg Koytiger proslijedio/la je Tweet
Cool paper on combining meta- and active learning to efficiently learn protein function from protein sequence, from Rainier Barrett and
@andrewwhite01 https://arxiv.org/abs/1911.09103 pic.twitter.com/olB7VS9AO6
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Greg Koytiger proslijedio/la je Tweet
Great work using inter-residue orientations to exceed AlphaFold’s performance on protein structure prediction by Jianyi Yang, Ivan Anishchenko, and others from the Baker lab: https://www.biorxiv.org/content/10.1101/846279v1 …. First heard about this at RosettaCon and I’m very glad to finally see it out!
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Greg Koytiger proslijedio/la je Tweet
This is how octopuses use camouflage in the wildpic.twitter.com/csAIOcSBix
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Greg Koytiger proslijedio/la je Tweet
And the oscar for best figure goes to ... https://twitter.com/biorxiv_evobio/status/1191427084712861698 …pic.twitter.com/YGoyJqLCi2
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Greg Koytiger proslijedio/la je Tweet
Your annual reminder of arguably the greatest thread of science Twitter poetry of all time. To all scientists this Halloween eve: may the sparrow of doubt hover close enough to guide you to rigor, but not so close that you are paralyzed into inaction.
https://twitter.com/dallandrummond/status/1057748860225888259 …
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Greg Koytiger proslijedio/la je Tweet
Engineering orthogonal signalling pathways reveals the sparse occupancy of sequence space. https://www.nature.com/articles/s41586-019-1639-8 … Congrats on the great paper
@michael_laub8@conor_mccluneHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Greg Koytiger proslijedio/la je Tweet
Scouring through openreview for ICLR submissions, noticed that there are a lot of interesting GNN and chemistry submissions. Here is a short list of some that caught my attention for now (and that I managed to pick the main idea).
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