🚨🚨🚨Our latest work @SastraUniv got featured in.@NatureInd!!!🚨🚨🚨.@s_shricharan @SankarMaheshR @SubachandranJK.The work was funded by @ugc_india.

RT @PrinSciAdvOff: As part of the series of ongoing efforts to improve “Ease of Doing Science” in the country, yet another key milestone ch….

RT @KamounLab: Kudos Madhu @JMadhuprakash, Mau @mpcontreras4 and the whole team for this beautiful structure and study! 😍 #EffectorWisdom #….

Explore 3-D models in your browser, download PDB files. Dive in now: 🔗 #Proteomics #Metallomics #OpenData

🔬 New insight: our Deinococcus indicus DR1 atlas uncovers >100 previously uncharted proteins that may bind or move As, Cr, Co, Cu, Fe, Mn, Mo, Ni & Zn—hinting at a far-ranging metallome beyond the classic ars operon. ⚙️🧪 #Metallomics 4/5

Brief Stats: .📊 4128 proteins modelled with #AlphaFold.🔸 2145 structures at pLDDT ≥ 90.🔸 CATH / InterPro domains assigned to 2 735 sequences. 3/5.

This work is a long standing collaboration between Yennamalli Lab and Dr. Richa Priyadarshini’s group at Shiv Nadar University (@ShivNadarUniv). 2/5.

🚨🚨🚨.Yennamalli Lab is proud to announce a newly launched website: — a browsable, downloadable atlas of Deinococcus indicus DR1, the bacterium that shrugs off radiation ☢️ and arsenic 🧪. 1/5

RT @TheRealBuzz: Officially starting the countdown to the anniversary of #Apollo11 today. You may recall that a few months ago, India’s Spa….

RT @Pavan_KumarGV: In 2 minutes, I try to explain what is scientific thinking. ft. Carl Sagan.

RT @theoneamit: A every scientist/researcher/clinician should read this #book

RT @khnh80044: This is brilliant 😂

What a find today morning!. He Painted Bugs Like Jewels — And Changed Science Forever via @YouTube.

RT @nitkal: Here's the online version of my talk at the BDBio symposium 2025 at IISc on "Decoding chromatin biology using Learning algorith….

Call it the way this algorithm works, so far my TL has many saying good things about @ANRFIndia and their proposal submission system this time. This could be a good time to revisit this written by @_KarishmaK @poonam_thakur6 @MeghnaSrishti and myself.

RT @hmunshel_2013:

This was an undergraduate research work by Aathi Manikandan!.

The preprint is here 👉 If you’re working in enzyme discovery, biofuels, or structural ML, we’d love to hear your thoughts. Thanks for reading!.#LPMO #AlphaFold #Bioinformatics #MachineLearning #Biotech.

This project started as a question:.Can few structural features alone tell us something useful about function?.Ofc—it can. And this approach might generalize to other enzyme families too. 9/10.

What does this mean for biologists?.— You can functionally annotate LPMOs even with novel or borderline sequences.— You can use structure to discover or repurpose enzymes.— You get a clearer idea of why an LPMO behaves the way it does 8/10.

With these features, we trained several ML models. 🥇 Best performer? SVM with an RBF kernel — 98% accuracy.🥈 MLP (tanh + adam) also did well — 97% accuracy.These models can classify LPMOs just from structural fingerprints! 7/10.