📢 New today! @PopowiczLab, @t7morgen7, @FilipeMMenezes and colleagues introduce MISATO, a database for structure-based drug discovery. @helmholtz_ai, @Sattler_lab, @HelmholtzMunich nature.com/articles/s43588-0…
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An accompanying News & Views manuscript by @ForliLab for this paper is now available! nature.com/articles/s43588-0… 👉rdcu.be/dHU69
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Very excited that MISATO is now published in Nature Computational Science. Check out the dataset to train the next generation of ML models for structure based drug discovery. All data and baseline models are freely available. nature.com/articles/s43588-0…
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Time flew by with Radek and Ola in the lab. It was wonderful having you guys with us!
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Next Thursday (22.06) me and @t7morgen7 will give a talk on the MISATO DB. Don't miss! Where: videoconf-colibri.zoom.us/j/… When: 11:30 a.m. CET Thank Computational Biochemistry Group from Univ. Porto
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With our new Energy Decomposition Analysis, we created a quantum mechanical binding selectivity model for the difficult to target PEX14-PEX5 interface! Quantum mechanical calculations for improved drug discovery applications. biorxiv.org/content/10.1101/…
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Artificial Intelligence is in urgent need of more refined datasets for drug discovery applications! Here is our contribution, the MISATO dataset: biorxiv.org/content/10.1101/…
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Fresh out of the publication oven: the first application of our own energy decomposition analysis. pubs.acs.org/doi/pdf/10.1021…
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Structure-based design, synthesis and evaluation of a novel family of ... sciencedirect.com/science/ar… Congrats to the whole team
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nature.com/articles/s41598-0… Congrats on this publication on small molecule inhibitors to PEX5
Filipe and Till representing the group at EuChemS22. No better way to start than by a plenary talk by Dame Carol Robinson on Structural Biology
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