Shashi, M.S.
@shashi_lab
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Ph.D. Student @RutgersU | Alumni @UOGTriton | Metabolomics of Bacteria, Plant, Human | All views & posts are my own.
Joined January 2025
“Times are changing but order matters: Transferable prediction of small molecule liquid chromatography retention times” https://t.co/kzPuofRhgp
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First @MetabolomicsSoc 2025 conference and not the last. Great experience seeing the applications, translational research, and developments in the field. Crazy to meet and see many of the pioneers. Great vibes all around!! Dr. Wu and I presenting a small piece of my
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✨✨Meet Us at the 21st Annual International #Conference of the Metabolomics Society (#Metabolomics2025)! 🎉 📅 Date: 22–26 June 2025 📍 Location: Prague, Czech Republic 🏷️ #MetabolitesMDPI #MetabolomicsResearch 🔗 For More Info: https://t.co/wH32N8PPqy
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🚀 Headed to #Metabolomics2025? Visit us June 22 - 26 in Prague!📍 Booth #G1 | Discover the new MxP® Quant 1000 kit | 🧩 Join the online jigsaw puzzle #challenge | 🎤 Join our vendor talk & #posterpresentations | More info on our Metabolomics 2025 page 👉 https://t.co/z3bv7dmLvz
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🧪 Is the dark metabolome just noise? In Part 1 of our 5-part series, El Abiead & Dorrestein push back on claims that most LC-MS/MS features are fragments — and explain why this matters for science & careers. 🔗 Read: https://t.co/JbUiCpQ6MK
#Metabolomics #MassSpec
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🚀 Ever tried training multiple ML models in one line of code? With fastml, you can: fastml(data = df, label = "target") 🎯 Auto preprocessing 📊 Compare models instantly 🧠 SHAP, ROC, accuracy & more Perfect for fast prototyping in R! 💻⚡️ #rstats #MachineLearning
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🌟 Editor's Choice Paper 📖 #Bridging #Ethnobotanical Knowledge and Multi-Omics Approaches for #Plant-Derived #Natural #Product Discovery 🧑🏻🔬By Prof. Justin J.J. van der Hooft, Dr. Fidele Tugizimana, et al. 🔗 https://t.co/oUATZtpQLv
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Delighted to announce the release of Boltz-2, which demonstrates unprecedented accuracy in predicting structure and binding affinity! Congrats to @GabriCorso and @jeremyWohlwend on this breakthrough achievement! 📄Paper: https://t.co/UFInT5vDf0 💻Code: https://t.co/4J6ldsgNgM
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If anyone is attending the @MetabolomicsSoc conference in Prague, let me know I would love to connect!!
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I was also 1/2 recipients to receive the Steve Berger travel award from @Agilent. Amazing hospitality from the team and had the opportunity to demo pre-product MassHunter Explorer 2.0!
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My first #ASMS2025 was an incredible experience where I presented “Restoration of Antibiotic-Impacted Microbiome in Human Babies: Pilot Metabolomic Study on the Efficacy of Autologous Fecal Microbiota Transplantation” Huge thanks to Dr. Maria Gloria Dominguez Bello, Dr. James
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Major update for untargeted workflows using Agilent’s MassHunter Explorer.. annotation by MS/MS, custom libraries, and integrating SIRIUS for unknowns #ASMS2025
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An AI BioSync rendition of METLIN 960K as a dot matrix. Celebrating the creation of METLIN with 960,000 molecular standards, and going live in its original classic form - reengineered. 🔗 Sign in for access: https://t.co/mXamURkHde 📖 Read more: DOI: 10.1002/ansa.70012
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DIA-NN 2.2.0 is released! In this update we have focused on analysis speed, which is becoming increasingly critical given the rapid transition to high-throughput proteomics. The new DIA-NN 2.2.0 Enterprise achieves up to ~1.6x median speedup on 64-cores under Windows (please see
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I think this will change many things. adds a new dimension for a metabolomist. Surprised (but not surprised cause of age of the field) this has only just been done.. Mass spec data is ultimately continuous data. Accelerate
Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS https://t.co/G1RMCWVA50
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Me in a cage 🤣🤣You know me better than that @houmanhemmati. The advantage I have is I am a clinician seeing the microbiome in action and he is not. To understand the microbiome, one needs to reach a cure. To reach a cure one needs to practice the art of medicine. Case of
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Cholesterol binds to orthosteric binding pocket in hTAS2R14 due to hydrophobic interactions, now lets take a look at other bitter-related compounds... cc: @masha_niv, might be of your interest!
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Bitter taste receptor activation by cholesterol and an intracellular tastant https://t.co/9x2E3bZ3XM
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Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS https://t.co/G1RMCWVA50
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