Jan Zrimec @JanZrimec
Bio is my bio :) Joined June 2014-
Tweets32
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Followers81
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Following142
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Likes42
Our study modelling growth and defence metabolism in potato just got published in PNAS: lnkd.in/guu7kFKb, helping to understand the tradeoffs between healthy growth and low-growth defence states due to stress, and potentially improve plants to both grow and defend well.
Train a neural network to predict protein abundance from amino acid sequence and then use it to modify sequences to increase abundance in yeast. More abundant proteins last longer in the cell and are more stable! @Xiaozhi_Fu @AZelezniak biorxiv.org/content/10.110…
A short forum paper in Trends in Plant Sciences on current advances in using machine learning to decipher gene expression regulation doi.org/10.1016/j.tpla…
The first copies of Python for Data Analysis 3e are rolling off the presses! Hope everyone enjoys the updated content
The paper on generating de novo regulatory DNA using deep neural nets was just published! nature.com/articles/s4146…
Enhanced metabolism and negative regulation of ER stress support higher erythropoietin production in HEK293 cells cell.com/cell-reports/f…
Data mining of Saccharomyces cerevisiae mutants engineered for increased tolerance towards inhibitors in lignocellulosic hydrolysates doi.org/10.1016/j.biot…
Learning deep representations of enzyme thermal adaptation biorxiv.org/content/10.110…
What happens with plastic waste in the oceans and soils? In support of interesting recent studies (doi.org/10.1101/135582, doi.org/10.1101/2020.0…) we find that it might get degraded by the adaptable environmental microbiomes Read in mBio doi.org/10.1128/mBio.0…
Deep learning has obviously transformed protein structure prediction, but can it do the same for the rest of biology? In a perspective by @sorger_peter and myself out this week in @naturemethods, we begin to try to answer this question: rdcu.be/cyMvO
Very exciting to see the metaGEM pipeline published 💎 thread coming soon 🧵 academic.oup.com/nar/advance-ar… @kiran_r_patil @AZelezniak @spinnylepton
First we learned to 'read' regulatory DNA using deep neural networks, and now to 'write' it! 😅 Excited to share our new results on bioarxiv! biorxiv.org/content/10.110…
Working with gene regulation? we wrote a review on the progress of machine learning applied to uncover the regulatory code and rules of gene expression. doi.org/10.3389/fmolb.… Credit to @JanZrimec and the rest of the team, who did a tremendous work! #DeepLearning #Biology
Excited to share that our review is out for those interested to learn more about the regulatory code of gene expression and how its modelled! frontiersin.org/articles/10.33…
Happy to see that the Bayesian GEM study was chosen by the editor as a highlight in Nature Communications 🥳nature.com/articles/s4146…
Our DeepExpression paper (nature.com/articles/s4146…) made it into Nat. Comms Top 50 of 2020 collection (nature.com/ncomms/top50) in its respective field (Life and Biological Sciences Articles): We are at number 6!! 😆🥳
The paper on generating completely novel but functional enzyme sequences with deep learning is just out! nature.com/articles/s4225…
Just out: Modelling thermal effects on cell metabolism helps identify growth-limiting enzymes and develop thermotolerant strains nature.com/articles/s4146…

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