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Nathanael Rollins proslijedio/la je Tweet
An unexpectedly large number of non-oncology drugs can kill cancer cells, according to a new study in
@NatureCancer.@broadinstitute@DanaFarber http://ow.ly/stXt50y32Az pic.twitter.com/hprNxXghVz
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Nathanael Rollins proslijedio/la je Tweet
I present Love Thy Nearest Neighbor: a Markov chain generator trained on the King James Bible and Kevin Murphy’s Machine Learning: A Probabilistic Perspective. Behold...
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Nathanael Rollins proslijedio/la je Tweet
We propose that that an epigenome has evolved through a process analogous to Darwinian evolution: random loss and gain of methylation together with natural selection.
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Nathanael Rollins proslijedio/la je Tweet
Is key ingredient in
#alphafold evolutionary couplings ? As in first successful 3D folding http://bit.ly/EVfoldHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nathanael Rollins proslijedio/la je Tweet
Disappointed that
#AlphaFold didn’t get references quite right- first washttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0028766 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nathanael Rollins proslijedio/la je Tweet
Evolution experiments as a way to generate statistical information to determine protein structure:https://www.sciencedirect.com/science/article/pii/S2405471219304284 …
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Nathanael Rollins proslijedio/la je Tweet
Come speak to Nathan Rollins and me about our work in progress discovering diverse sequences that maximize any given protein function predictor at LMRL!
#NeurIPS2019#LMRLpic.twitter.com/IHScDckhLB
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Nathanael Rollins proslijedio/la je Tweet
Classifiers are secretly energy-based models! Every softmax giving p(c|x) has an unused degree of freedom, which we use to compute the input density p(x). This makes classifiers into generative models without changing the architecture. https://arxiv.org/abs/1912.03263 pic.twitter.com/IzMPxiNxFQ
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Nathanael Rollins proslijedio/la je Tweet
Congrats to Generate Bio
@gibsmk, @YangKevinK,@AndrewLBeam, the next breakthrough in#proteinengineerinng.https://twitter.com/gibsmk/status/1205895418036441088 …
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Nathanael Rollins proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Nathanael Rollins proslijedio/la je Tweet
Super excited about our latest, Visual Cell Sorting! Pooled optical screens and much more! Congrats and thanks to all involved, and hat tip to
@srikosuri who inspired us at a@cshlbanbury meeting years ago!https://biorxiv.org/cgi/content/short/856476v1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nathanael Rollins proslijedio/la je Tweet
Our new paper is out today. We used CRISPR to uncover some really striking findings with several drugs and drug targets in clinical trials. Also, we accidentally found the first-ever inhibitor of the cyclin-dependent kinase CDK11.https://stm.sciencemag.org/content/11/509/eaaw8412 …
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Nathanael Rollins proslijedio/la je Tweet
Great work by members of my group - nanobody design toohttps://twitter.com/Jonnygfrazer/status/1170074098392715264 …
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Nathanael Rollins proslijedio/la je Tweet
Preprint of great work by my former colleagues Adam, June, and Aaron in
@deboramarks lab! They build an autoregressive model (read: input seq's need not be aligned) of protein families, then predict mutation effects & design new proteins from their modelhttp://biorxiv.org/cgi/content/short/757252v1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
awesome synopsis and outlooks
@melchiasson and@dougfowler42 !https://twitter.com/NatureGenet/status/1144697118365536257 …
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Nathanael Rollins proslijedio/la je Tweet
Mutant genes could supercharge efforts to decipher protein structures https://www.sciencemag.org/news/2019/06/mutant-genes-could-supercharge-efforts-decipher-protein-structures …
@deboramarks@BenLehner@dougfowler42Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nathanael Rollins proslijedio/la je Tweet
Using extensive protein mutagenesis and the resulting epistasis networks to infer three-dimensional protein structures:https://www.nature.com/articles/s41588-019-0432-9 …
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Nathanael Rollins proslijedio/la je Tweet
Out of the millions of proteins thought to exist, only the structures of about 150,000 have been unraveled. New research is looking at ways to untangle the painstaking process.https://fcld.ly/fwaaehl
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Nathanael Rollins proslijedio/la je Tweet
Want to join us (postdoc or student) to apply this to your favourite problem? To develop general experimental methods for in vivo structure determination? To understand prions, aggregation and disordered proteins? Genotype-phenotype maps and regulatory networks? Email! Pls RThttps://twitter.com/BenLehner/status/1140604616670887937 …
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Nathanael Rollins proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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