Attended the Workshop on Computational Modeling of Proteins for Infectious Disease Researchers at Seattle Children’s Research Institute. This hands-on training introduced tools like AlphaFold, ChimeraX, & Rosetta for target discovery and therapeutics. Thanks to @niaidnews.bsky.social for sponsoring!
Presented today at #GLBIO2025 @iscb.bsky.social on ML + genome data for antimicrobial resistance prediction.
Really grateful for the great questions & conversations!
#bioinformatics #genomics #AMR
Our Big Fantastic Virus Database (BFVD) is now published NAR! It contains protein structure predictions of major viral clades, enhanced by petabase-scale homology search and it's explorable on the web.
🌐 bfvd.foldseek.com
💾 bfvd.steineggerlab.workers.dev
📄 academic.oup.com/nar/advance-...
Abhirupa Ghosh
First conference of Spring 2025, ASM Rocky Mountain ! Presented a poster on an ongoing project "Unveiling antimicrobial resistance mechanisms in ESKAPE through machine learning" @asm.org #coloradostate
Abhirupa Ghosh
A year ago today, I crossed the bridge and earned the title of PhD.
Grateful for the challenges, growth, and new beginnings. Here’s to the journey ahead!
#OneYearAsPhD #LifeAfterPhD
Thrilled to share our new Forum article in @cp-trendsmicrobiol.bsky.social
We (@charmievang.bsky.social @evanbrenner.bsky.social @jananiravi.bsky.social) explore how #MultiOmics + #MachineLearning/#DeepLearning can transform AMR prediction—spotlighting emerging opportunities and challenges!
The postdocs (me and @evanbrenner.bsky.social ) enjoying the Holiday Selfie Station on day 1 of Byte Into Sweets, Holiday Edition at @cubiomedinfo.bsky.social | @cuanschutz.bsky.social
Abhirupa Ghosh
Abhirupa Ghosh
Martin Steinegger 🇺🇦
Abhirupa Ghosh
Abhirupa Ghosh
Unlocking antimicrobial resistance with multiomics and machine learning
The global antimicrobial resistance (AMR) emergency is driven by complex and evolving molecular mechanisms. Cutting-edge machine learning methods and multiomics technologies can help to combat this crisis by predicting novel AMR biomarkers and outcomes with unprecedented precision and speed, offering critical insights into the molecular underpinnings of AMR.
