Michael Skinnider retweeted
Job Posting: Princeton U seeks applications for asst, assoc, or full professor to contribute to initiative at interface amid cancer, immunity, and metabolism (@Ludwig_Cancer Princeton). Welcome candidates using bio, chem, phy, eng and/or comp approaches. apply.interfolio.com/191852
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Michael Skinnider retweeted
Princeton University seeks applications for an assistant, associate or full professor for the initiative at the interface between cancer, immunity, and metabolism at the Ludwig Princeton Branch. Application for Assistant, Associate, or Full Professor, Ludwig Princeton Branch
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We have updated our preprint with a benchmark of 17 methods for structural annotation of MS/MS spectra: biorxiv.org/content/10.648…
We have identified what we believe to be a critical issue in the way that computational methods for structural annotation of small molecule MS/MS spectra have historically been evaluated. Fortunately, there is a solution: biorxiv.org/content/10.648…
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We have identified what we believe to be a critical issue in the way that computational methods for structural annotation of small molecule MS/MS spectra have historically been evaluated. Fortunately, there is a solution: biorxiv.org/content/10.648…
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Very happy to share our latest efforts to map the mammalian metabolome, in which we combine large-scale in vivo isotope tracing with biochemical AI to discover several structurally unprecedented and biologically fascinating metabolites: biorxiv.org/content/10.648…
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Michael Skinnider retweeted
Great Opportunity: Application for Assistant, Associate, or Full Professor, Ludwig Princeton Branch to contribute to a major initiative at the interface between cancer, immunity, and metabolism. @Princeton @LudwigCancer @RutgersCancer
puwebp.princeton.edu/AcadHire/apply…
puwebp.princeton.edu/AcadHire/apply…
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Michael Skinnider retweeted
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…
pubs.acs.org/doi/10.1021/ja…
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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…
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Michael Skinnider retweeted
Ludwig @Princeton 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
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Very happy to see our work on mapping the 4D molecular pathobiology of spinal cord injury now in print:
Nature research paper: Single-cell and spatial atlases of spinal cord injury in the Tabulae Paralytica go.nature.com/3VOLvSQ
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Excited to share our approach to the biological interpretation of comparative spatial transcriptomics experiments - Vespucci @j_squair @gcourtine biorxiv.org/content/10.110…
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Michael Skinnider retweeted
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…
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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…
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Michael Skinnider retweeted
Work from the Long Lab @longlabstanford and our lab working with @DavidFinlayTCD on links between metformin, and eating (especially solid food) on Lac-Phe levels and appetite suppression @NatMetabolism
Back-to-back papers in @NatMetabolism today: a surprising connection between the appetite-suppressing metabolite Lac-Phe and metformin-associated weight loss. From @lynchielydia and @skxiao_nju @Stanford_ChEMH
nature.com/articles/s4225…
nature.com/articles/s4225…
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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…
puwebp.princeton.edu/AcadHire/apply…
puwebp.princeton.edu/AcadHire/apply…
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Michael Skinnider retweeted
Spectrum of the past
nature.com/articles/s4157…
An old News & Views article by @skinniderlab from @Princeton on a neural network called MSnet created by Curry and Rumelhart and published in Tetrahedron Comput. Methodol. 34 year ago.
nature.com/articles/s4157…
An old News & Views article by @skinniderlab from @Princeton on a neural network called MSnet created by Curry and Rumelhart and published in Tetrahedron Comput. Methodol. 34 year ago.
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Michael Skinnider retweeted
I am so excited that the paper led by @bittremieux 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.
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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… @lenjf
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Michael Skinnider retweeted
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…
pubs.acs.org/doi/10.1021/ac…
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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…
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