Joined August 2017
2 Photos and videos
Happy to see our XSMILES visualizations being picked up by others more and more.
VenomPred 2.0: A Novel In Silico Platform for an Extended and Human Interpretable Toxicological Profiling of Small Molecules #machinelearning #compchem pubs.acs.org/doi/abs/10.1021…
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Sebastian Schmidt retweeted
Come join us! We are looking for a Postdoctoral Researcher in Mass Spectrometry Workflows for Unknown Chemicals to join the Environmental Cheminformatics group at @lcsb_uni_lu @uni_lu #TeamMassSpec #cheminformatics #OpenScience Interested? Apply here⬇️ emea3.mrted.ly/3h2lg
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I'm presenting our work on explainable deep learning for bioaccumulation at #SETACDublin next Monday. Session 1.02.T-02, Mon 1 May 13:55 @SETAC_EU @Bayer4Crops #TeamBayer
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Sebastian Schmidt retweeted
Announcing two positions to make @enviPath THE ORD resource on contaminant biotransformation, to be filled ASAP, at @UZH & @EawagResearch. Research assistant in chemical data science: tinyurl.com/mbbuaxn7 Postdoc in Computational Metabolomics: tinyurl.com/5h8k9w5c
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Sebastian Schmidt retweeted
Two positions on exciting biotransformation work with Kathrin Fenner @kafenne at @UZH_en and @EawagResearch - to be filled ASAP starting April/May Research Assistant in Chemical Data Science jobs.uzh.ch/offene-stellen/r… Postdoc in Computational #metabolomics jobs.uzh.ch/offene-stellen/p…

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Our work on predicting #bioaccumulation (BCF) with explainable deep learning is now published in @AILSCI. doi.org/10.1016/j.ailsci.202… Thanks to everyone at @Bayer who supported us! #XAI #deeplearning #QSAR #environmentalsafety
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Sebastian Schmidt retweeted
"Modeling Bioconcentration Factors in Fish with Explainable Deep Learning" Available on @AILSCI! 🔗Find out more here: doi.org/10.1016/j.ailsci.202… #openaccess #AI #QSAR #Bioaccumulation #BioconcentrationFactor #compchem
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Sebastian Schmidt retweeted
1 Jun 2022
EAWAG-SLUDGE, our latest addition to the enviPath database, is now available at envipath.org/package/4a3cd0f…. It features biodegradation pathways and kinetic information for 91 micropollutants commonly detected in wastewater treatment plants.

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We are hiring! Join our Early Environmental Safety team to drive the development of the next generation of sustainable, environmental-friendly plant protection products. Interesting work, freedom to innovate, and a fun and supportive team! #hiring #Teamlnkd.in/e7y2bNfd

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our newest paper: Block‐wise exploration of molecular descriptors with Multi‐block Orthogonal Component Analysis (MOCA) onlinelibrary.wiley.com/doi/… #molecular #descriptors #QSAR

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This thread nicely demonstrates some benefits from linking multiple data sources and FAIR data assets. In the context of chemical structures and transformation pathways. (in Dutch)
Our paper on the holistic evaluation of predicted biodegradation/metabolism pathways with our partners @enviPath @MLAucklandUni appeared in @jcheminf. Dealing with problems like transient intermediates that are missing in the experimental reference data, or multi-step reactions.
new: "Holistic evaluation of biodegradation pathway prediction: assessing multi-step reactions and intermediate products" jcheminf.biomedcentral.com/a…
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Preparing for #QSAR2021. I will present a poster on fish chronic toxicity prediction on Monday, poster session track 2. Tune in or get in touch if you are interested. #QSAR #FishToxicity
Cool! A virtual library of ligands for homogeneous catalysis. This tempts me to dig out my PhD thesis and screen some new catalysts ;-)
Release the Kraken! Kraken is an open-access tool for chemists to save time and money. It's a collaboration between #UofU's @Sigman_Lab, @UofT, @IBMResearch & @AstraZeneca “The world has no time for science as usual. Nor for science done in a silo.” 📰 chemistry.utoronto.ca/news/m…