Yunha Hwang

@microyunha.bsky.social

Building genomic intelligence @ Tatta Bio

We just launched a new UI for SeqHub so things might look a little different next time you log in 👀 With your feedback, we rebuilt navigation across the platform, with most tools now accessible from one location.

With pre-calculated FlashPPI2 interactions in SeqHub, you can immediately discover predicted physical interaction partners in the native genomic context AND examine how conserved these patterns are across diverse organisms. Give your favorite protein a try, and let us know what you find!🪄

Tatta Bio@tattabio.bsky.social · last mo.

In SeqHub, you can now search a protein to find FlashPPI2-predicted interaction partners across all 400 million proteins and 132K microbial genomes in our database (OpenGenome). You can still upload full genomes to find interactions within and between genomes.

Two weeks ago, our FlashPPI paper was published in @pnas.org. Today, we introduce our updated model, FlashPPI2. Fine-tuned on new AlphaFold structures, this new model achieves a 17% improvement over FlashPPI on the E. coli protein interaction benchmark. seqhub.org/blog/flashppi2

FlashPPI2: Enhanced Model, Scaled Across 130,000+ Genomes - SeqHub

FlashPPI2 drives up PPI prediction performance (AUPRC) by 17% while maintaining inference speed at minutes per genome — now deployed across SeqHub's database of over 130,000 microbial genomes.

seqhub.org

"SeqHub has become an integral part of our workflow...[it's] typically the first place we go to begin understanding what a gene might be doing and to identify its genomic neighbors across bacterial genomes." - Jeremy Rock, Rockefeller University seqhub.org/blog/rock-la...

How the Rock Lab Uses SeqHub to Accelerate Discovery in Mtb and Mabs - SeqHub

The Rock Lab at Rockefeller University studies Mycobacterium tuberculosis and M. abscessus — two pathogens with large stretches of unannotated genome. SeqHub has become an integral part of their workf...

seqhub.org

We’re incredibly grateful to have Alex Bateman on our advisory board. Biology today would look very different without UniProt. Scientific data infrastructure is the bedrock of innovation, and we’re excited to learn from Alex’s experience helping building such a foundational resource.

Tatta Bio@tattabio.bsky.social · 4mo ago

We're thrilled to welcome @alexbateman1.bsky.social to the SeqHub Advisory Board! Alex has played a central role in building core global resources for protein science, including UniProt. He has been a longtime leader in developing standards and infrastructure that underpin modern protein analysis.

Most protein-protein interaction tools work on protein pairs. FlashPPI runs at proteome scale and now across two proteomes at once. Upload any two datasets (full genomes, partial genomes, or custom protein sets) and get back a predicted interaction network spanning both.

Bild

Predicting protein-protein interactions (PPIs) at proteome scale can take months with co-folding models due to the massive all-vs-all comparisons required. We are excited to announce FlashPPI, a contrastive learning framework that predicts proteome wide physical interfaces in minutes. 1/🧵

Protein–protein interactions (PPIs) are key to discovering and interpreting new biological functions. We’re excited to introduce 𝑭𝒍𝒂𝒔𝒉𝑷𝑷𝑰: a new application of gLM2 that uses genomic language modeling to predict proteome-wide PPIs in microbial genomes in minutes.

We’d love to join your lab meeting! We’ve been meeting with research groups to share how scientists are using SeqHub for sequence and genome analysis, and the conversations have been highly interactive and grounded in real workflows. Booking info below.

We’re excited to welcome Daniela Bourges-Waldegg to the SeqHub Advisory Board! Daniela is EVP + Chief Digital & Technology Officer at @addgene.bsky.social. She will help shape our approach to building researcher-centered digital infrastructure with an eye toward long-term scientific impact.

Bild

Released today from Tatta Bio: SeqHub! A place to explore, annotate, and share sequence data with functional insights.  Over 1,000 scientists worldwide have already used SeqHub to annotate more than 550,000 proteins, uncovering new insights and accelerating discovery.

We're thrilled to announce SeqHub, an AI-enabled platform for biological sequence analysis. SeqHub brings together sequence search, genome annotation, and data sharing in one place.

At Tatta Bio, we have been thinking deeply about the sequence-to-function problem. We believe that before AI can power functional prediction, we first need to rethink how we curate, manage, and share sequence data. Here, we share our initial ideas on what we are building next:

Today's sequence data infrastructure is set up for failure in the age of AI.

Building an open and collaborative sequence platform for both Human and AI scientists.

tattabio.substack.com

It’s official! 🎉 I’m thrilled to announce that I will be joining MIT as an assistant professor in a shared appointment between Biology, EECS and Schwarzman College of Computing this fall.

Bild

Can LLM agents discover novel protein functions? Introducing Gaia Agent 🌎 🤖: an AI biologist capable of reasoning across genomic contexts to predict functions of proteins! Gaia Agent is now integrated with Gaia Search at gaia.tatta.bio

Bild