Which RNA-seq-supported sequences appear in your proteomics data? Generate a custom FASTA in Tesorai, including novel splice-junction sequences, then use it to search your MS files for peptide evidence. Available on request. Create an account and contact us: www.tesorai.com

"Single-cell proteomics with Tesorai Search: 29% more unique peptides in NanoPOTS* 37% higher MS2 ID rate in DISCO Vs. FragPipe, one-cell conditions, 1% FDR, MBR off. *Pooled across 10 runs. Our new application note covers the benchmarks and browser workflow. www.tesorai.com/resources/si...

A thoughtful analysis starts before the volcano plot. Tesorai Chat’s built-in templates guide researchers through data quality, missing measurements, and preparation before comparing groups and interpreting results. www.tesorai.com/solutions/te...

Which RNA edits make it into proteins? UCSF researchers combined deep proteomics with Tesorai Search to detect 7,997 recoding sites across 2,091 proteins. Congrats to @dlswaney.bsky.social and the team at @ucsanfrancisco.bsky.social! Now in Cell: www.tesorai.com/resources/ce...

From raw proteomics data to biological context. Watch Tesorai Search, Chat, and Trove work together to process data, explore protein changes using natural language, and compare findings across published studies. www.tesorai.com

In a 17-gene knockout panel, nDIA + Tesorai Search no longer detected target proteins in nearly all corresponding KO lines. www.tesorai.com/resources/na... Thanks to our collaborators @mdanderson.bsky.social and @cityofhope.bsky.social

What else could published proteomics data reveal? Tesorai Trove has 1,300+ curated datasets with protein measurements and sample metadata. Find relevant studies, analyze with natural language, and compare findings across datasets. www.tesorai.com/solutions/te...

That’s a wrap on #HUPO2026 🇸🇬 Thanks to everyone who stopped by Innovation Row, checked out our posters, and talked proteomics with @cckim47.bsky.social and Yelena. You can find our posters + other HUPO resources here: www.tesorai.com/hupo

What does it take for an AI agent to actually help with proteomics analysis? Today at #HUPO2026, we’re presenting our work developing + benchmarking agentic LLM frameworks for faster, more accessible proteomics analysis. 📌 PS01.003 🗓️ Mon · 1:15–3 PM 📍 Exhibit Hall

We’re at #HUPO2026! 🇸🇬 Come find us at Innovation Row to see Tesorai Search, Chat + Trove in action. Bring us a dataset, give us a hard biological question, or just come talk proteomics. 📍 Suntec Singapore 📅 Sep 27–Oct 1

Start with the question, not the dataset. Ask Tesorai Chat a biological question and let it help identify relevant public proteomics studies. Question → Discover → Analyze See it at HUPO 2026 next week. Come give us a hard biological question at Innovation Row. 🇸🇬 www.tesorai.com/hupo #HUPO2026

"We’re heading to #HUPO2026 in Singapore! 🇸🇬 Find us at Innovation Row to see Tesorai Search, Chat + Trove in action. We’ll also be presenting new work on agentic AI for proteomics and Alzheimer’s disease across public brain proteomics cohorts. 📍 Suntec Singapore 📅 Sep 27–Oct 1"

Deep proteome coverage with rigorous FDR control. New work with @mdanderson.bsky.social + @cityofhope.bsky.social benchmarked 12 acquisition + analysis workflows. nDIA + Tesorai Search: • 10,766 protein groups • Deepest coverage evaluated • ≤1% FDP www.tesorai.com/resources/na...

Where is AI accelerating drug discovery, and where is the promise still ahead of reality? Tomorrow, Tesorai CSO @cckim47.bsky.social joins the Life Science and Bio panel at The Next Endeavor to discuss AI in drug discovery. 📅 Sept 15, 4 PM 📍 Google Bay View

Not reported doesn’t mean not measured. p-tau217 wasn’t in the published protein summaries of 5 public brain proteomics cohorts. We reprocessed the raw spectra with Tesorai Search. p-tau217 was recovered in 4 of 5 cohorts. Old data can answer new questions. www.tesorai.com/resources/al...

An Alzheimer’s study was published Aug 10. Using Trove, we tested its protein signature across 5 brain proteomics cohorts. With Search, we re-mined raw spectra for p-tau217. 25 days later, we posted a new preprint. The next study may already be in the public data. www.tesorai.com/resources/al...

More peptide IDs shouldn’t mean a looser threshold. Tesorai Search separates model training from FDR estimation, reserving decoys for FDR estimation. Across 7 independent datasets, it identified up to 68% more peptides at 1% FDR vs. four widely used search engines. www.tesorai.com/resources/ho...

Proteomics analysis starts with a scientific question, not an analysis pipeline. With Tesorai Chat, ask the question in plain language and work through the data checks, preparation, statistics, and results in the same conversation.

Finding a relevant public dataset is only the beginning. With Trove, you can compare studies, check whether they’re actually compatible, and look for signals shared across datasets. Public proteomics data, put back to work.

What if better data matters as much as a bigger model? Our new preprint: a 70M-parameter model trained with proteomics matched or exceeded RNA-only models up to 50× larger. 48,843 samples · 440 studies. Why we’re building Trove: put existing proteomics data back to work. tinyurl.com/yubucze5

Personalized cancer vaccines are advancing. So is the need to identify the tumor antigens that matter. See how Tesorai Search supports immunopeptidomics with greater sensitivity and at scale. bit.ly/4gp3kRF

Public proteomics data is abundant. Reusing it is another story. In our analysis of 439 datasets, 84% had essential metadata outside the data file. With Trove, we’re working to make public proteomics data easier to find, understand, and reuse. #Proteomics

What biological signals hold up across independent studies? Tesorai Trove helps researchers evaluate and compare public proteomics datasets through a conversational workflow—making it easier to find results reproduced across studies. Here’s what that looks like in 23 seconds.

Good data can outlive the question that generated it. Public proteomics datasets can be revisited with new hypotheses, new analyses, and new comparisons. That’s the idea behind Tesorai Trove: making the evidence behind published research easier to explore and reuse.

Describe the visualization you need. Tesorai builds it from your proteomics data. Here, a natural language request becomes a custom, interactive plot of protein CV distributions, with options to download the figure or inspect the code. What would you visualize?

We're proud to share our latest peer-reviewed research, now published in the Journal of Molecular Biology. Thanks to our collaborators, especially @mpibiochem.bsky.social and @jmolbiol.bsky.social. 📄 www.sciencedirect.com/science/arti...

Differential expression tells you which proteins changed. Protein interaction networks help explain how those proteins work together, revealing the biological processes behind the results. What's your favorite follow-up analysis after differential expression?

Better hit identification creates more opportunities for successful drug discovery. In a recent biotech collaboration, Tesorai Search identified 11 additional candidate hits, resulting in >30% more new hits than the existing workflow. Reference customer available for qualified prospective partners

Volcano plots are great at identifying what's different between samples. They're not designed to explain why those differences exist. Biology starts after differential expression.

Same public Parkinson's disease dataset. Same statistical threshold. Different search pipeline. Original analysis: 2 statistically significant proteins. Tesorai Search reanalysis: 9. What datasets deserve another look?