Burstein lab
@BursteinLab
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Having fun with microbial genomic and machine learning @TelAvivUni
Israel
Joined September 2022
Fellow microbial immunity, mobile elements, and plasmid enthusiasts: the paper of our wonderful @BruriaSamuel on anti-defense genes in plasmids is now published in @Nature!!!. Check out her thread below for highlights of our new results. 1/2.
Meet The Shielded Plasmid🛡️🧬. Our new @Nature paper reveals how plasmids outsmart bacterial defenses during conjugation. It's all about being in the right place at the right time! The positioning of anti-defense genes boosts transfer efficiency🧵(1/7)
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RT @SternbergLab: New pre-print(s) from the Sternberg Lab in collaboration with @LeifuChangLab! We uncover an unprecedented molecular mecha….
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6/6 🔮 What's next for NLP in biology? We discuss future directions as well. Join us in exploring the future of this exciting field!
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5/6 💡 Discover how NLP is being applied to:.• Protein structure prediction 🏗️.• Taxonomic classification 🌳.• Mutational effect prediction 🔀.• Gene expression prediction 📈.And much more!
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4/6 🧩 Tokenization challenges? We've got that covered too! Explore different approaches to breaking down biological sequences and their impact on model performance.
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3/6 📚 We break down the evolution of NLP models in biology, from classic word2vec to cutting-edge transformers and hyena operators. Understand their strengths, limitations, and exciting applications!
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2/6 🔬 We dive deep into how NLP techniques are revolutionizing the analysis of biological 'languages':.• DNA 🧬.• RNA 🧬.• Proteins 💪.• Entire genomes 🔍.Learn how these methods are unlocking new insights in genomics!
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1/6 🧬📊 Curious about the buzz around NLP in biology? Feeling overwhelmed by the rapid developments? We've got you covered! Our review on NLP applications in genomics, by the wonderful @EllaRannon, is now out as a pre-print! #NLP #Bioinformatics
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RT @SternbergLab: Our latest story is now online @Nature! We discovered a phage defense system that deploys kilobase-long DNA homopolymers….
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RT @Artem_Isaev_: We performed a dedicated search of anti-CRISPR proteins targeting the model E. coli Type IE CRISPR-Cas system and reveale….
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RT @d_sabonis: Excited to share our latest on the Type II Thoeris system! In collaboration with the Sorek and Kranzusch labs, we identify H….
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RT @IsbergRalph: Congratulations to Rotem Sorek (@SorekLab) on your election to the US National Academy of Sciences as an International Mem….
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RT @rafapinilla92: Excited to share our last collab paper, now out in print @ScienceMagazine!🎉. We reveal how dITP synthesis activates a SI….
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RT @EllaRannon: Hello Seoul!.Excited to be at #RECOMB2025!.If you're curious about alternative protein tokenization methods for protein lan….
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RT @alexjmeeske: Check out our new paper describing rAcrVIA1: an RNA anti-CRISPR that mimics guide RNAs to inhibit Cas13. Very fun project….
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RT @bioRxiv_synbio: Harnessing Diversity Generating Retroelements for in vivo targeted hyper-mutagenesis #biorxiv_s….
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⚠️DRAMMA’s capability to identify novel ARGs in diverse environments can facilitate early resistance detection, influencing antibiotic selection for patients, contributing to better treatments, and combating the rise of antibiotic resistance. 6/6.
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🦠Our ARG HMM database was also used to detect a novel resistance gene in Nocardia wallacei, which was experimentally validated to confer broad spectrum aminoglycoside resistance. 5/6.
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📊 DRAMMA demonstrates robust performance in both cross-validation and external validation, enabling rapid and precise ARG identification in large-scale genetic and metagenomic samples. 4/6.
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🔬DRAMMA leverages diverse biological features to predict ARGs: genomic context, evolutionary patterns, and protein properties such as amino acid composition, chemical properties and secondary structure. 3/6.
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💪Why so dramatic? DRAMMA detects antimicrobial resistance genes (ARGs) without relying on sequence similarity to known genes! 2/6
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