SMART is a user-friendly, AI-based dereplication and analysis tool that uses 2D NMR data to rapidly associate newly isolated NPs with their known analogues.
Dear Users, we apologize for the SMART website accessing issue recently. It seems Chrome users with certain web browser settings are denied access to the website. We are trying to solve this issue and bring back the website for everyone to use.
Radical SAM Oxygenase for the Ether Crosslinking in Darobactin #Biosynthesis by H. Nguyen, D. Kresna, N. Böhringer, J. Ruel, E. de la Mora, J.-C. Kramer, K. Lewis, Y. Nicolet, T. Schäberle, K. Yokoyama @Yokoyama_Lab@dukebiochem in @J_A_C_S https://t.co/9ObvqCBmjH
Looking for a new PhD student, who is passionate for natural products, their biosynthesis and ecology in a DFG-funded collaboration project on specialized metabolites in a plant-bacterium symbiosis with @AurelienCarlier! Please RT and pass on to anyone who might be interested!
Insights into the Metabolomic Capacity of Podaxis and Isolation of Podaxisterols A–D, Ergosterol Derivatives Carrying Nitrosyl Cyanide-Derived Modifications https://t.co/WDeTnZOK2o
Wondering about building block delivery functions of enzyme cofactors in natural product biosynthetic pathways? Check our Perspectives Article @JACS_Au just published today: https://t.co/l0ozVl3Otc
Our research group introduced "SMART-Miner", A convolutional neural network-based metabolite identification tool from 1H-13C HSQC spectra at the Magnetic Resonance in Chemistry journal! This tool is freely available on google Colab! #metabolomics#NMR
https://t.co/h9jZldTtbM
https://t.co/dtWTTZa9DS Please check out this latest publication on anti-SARS-CoV-2 activity of the gallinamide A compound. Quite inspiring discoveries!
https://t.co/uQGvId928X Please see the result of the Gerwick lab efforts to learn more about this COVID-19 pandemic and the role that natural products might play in developing a new therapeutic, beginning around the stay-at-home orders in Spring 2020.
2/2 we are now adapting CANOPUS to accommodate the new NPclassifier ontology https://t.co/Ak21rMwrXZ to make results intuitive to the natural product community. Thanks to the reviewers as well as the editors for providing terrific feedback and editing the final paper.
Currently we get on avg 5% (10-20%for human samples) annotation rates in untargeted #metabolomics. This wonderful collaboration with @boeckerlab provides a structural classification strategy leveraging classyfire ontology @WishartLab for MS/MS that do not have annotations. 1/2