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Very happy to have made a small contribution to this great review on AI/ML methods for natural products discovery Nature Reviews Drug Discovery, led by Marnix Medema, Serina Robinson, Roger Linington, Anna Hirsch, and Gerard JP van Westen nature.com/articles/s4157…

Discover our latest study, published in Science Magazine , which reveals a groundbreaking approach to regenerating axons through complete spinal cord injury, reversing paralysis. Read the full article here: science.org/doi/full/10.11…

Assessing the limits of zero-shot foundation models in single-cell biology biorxiv.org/cgi/content/sh… #bioRxiv

For developing an #AI-based approach to identify new designer drugs wreaking havoc in an ever-greater number of global communities, Michael A. Skinnider is the winner of the 2023 NOMIS & Science Young Explorer Award. 🎉 Read more: scim.ag/4LE

Here are the winners of this year’s #Science Awards: Congrats to Claudia Höbartner for being awarded with the Hansen Family Award and Gal Ofir, Dr. Erin Stache, Michael Skinnider and Dr. Vivi Maketa for winning the Early Excellence in Science Award. bayer-foundation.com/and-bayer-foun…

New process for screening old urine samples reveals previously undetected ‘designer drugs.' The approach can potentially save lives and guide timely clinical responses to drug-related emergencies. Read more: bit.ly/3QGZB4S @UBCmedicine BC Centre on Substance Use

Excited to share our new work on detecting ‘designer drugs’ with (computational) mass spectrometry. We developed a platform to help toxicological labs make data-driven decisions about what clinical tests to develop next: pubs.acs.org/doi/10.1021/ac…

Using transfer learning to develop a NPS-specific MS/MS prediction model. If you're interested, check out the OA publication and head to nps-ms.ca to try it for yourself. pubs.acs.org/doi/10.1021/ac…

Very happy to share our latest work on harmonizing raw mass spectrometry data from >21,000 proteomic experiments to enable meta-analyses of protein interactions and phosphorylation at the largest scale yet: nature.com/articles/s4146… Leonard Foster

I am so excited that the paper led by Wout Bittremieux (@[email protected]) on the creation of an open resource with nearest neighbor molecular network ms/ms library is out. rdcu.be/dt7ci when one does not get a match against existing libraries-this may help.

Spectrum of the past nature.com/articles/s4157… An old News & Views article by Michael Skinnider from Princeton University on a neural network called MSnet created by Curry and Rumelhart and published in Tetrahedron Comput. Methodol. 34 year ago.

We are advertising two postdoc positions at Princeton: one in computational mass spectrometry broadly defined, the second more specifically in AI/ML for illicit drug identification. Please feel free to reach out with any questions: puwebp.princeton.edu/AcadHire/apply… puwebp.princeton.edu/AcadHire/apply…

Work from the Long Lab Long Lab and our lab working with @DavidFinlayTCD on links between metformin, and eating (especially solid food) on Lac-Phe levels and appetite suppression Nature Metabolism

Very happy to share this work testing a widespread assumption in chemical AI and showing that invalid SMILES are a feature, not a bug: nature.com/articles/s4225…

new lab preprint - using proteomics and protein co-variation to infer protein association networks across 11 human tissues to study what determines tissue differences and to prioritize disease genes in GWAS linked genes through tissue specific networks biorxiv.org/content/10.110…

Excited to share our approach to the biological interpretation of comparative spatial transcriptomics experiments - Vespucci Jordan Squair G Courtine biorxiv.org/content/10.110…

Very happy to see our work on mapping the 4D molecular pathobiology of spinal cord injury now in print:

Ludwig Princeton University seeks applications for an assistant, associate or full professor to contribute to a major new initiative at the interface of cancer, immunity and metabolism. bit.ly/4dz933Y

Thrilled to share our approach for language model-guided discovery of unknown mammalian metabolites: DeepMet. We’ve now used this approach to discover ~50 new human and mouse metabolites! biorxiv.org/content/10.110…

Well, it took a little longer than expected, but we're happy to share our lab's first paper. Thanks to the reviewers and editors at JACS for sticking with us through a surprisingly weird story 😅. Science never changes. pubs.acs.org/doi/10.1021/ja…