Chris Mungall

@cmungall.bsky.social

Berkeley Lab, Environmental Genomics and Systems Biology division. #GeneOntology #MonarchInitiative #AllianceGenome #NationalMicrobiomeDataCollaborative #OBOFoundry.

The UK countryside is full of interdimensional portals. You just have to know where to look. I've decided to make a thread here of some of the best ones I've found on walks. 1. JRR Tolkien's Psychedelic Lime Kiln.

I can never resist getting inside an old lime kiln. This one was near Newton Abbott. The view up through the hole in the top of it to the overhanging trees on the ledge above is, I have to assume, even better than listening to the second Doors album on acid.

This is a very elegant bridge between classic prokaryotic pathway hole filling algorithms and logical ontology formalisms -- and is also very practical! Some comments on top of @leechuck.bsky.social's thread:🧵

Robert Hoehndorf@leechuck.bsky.social · last mo.

New in Briefings in Bioinformatics: we use the Gene Ontology @geneontology.bsky.social as a logical framework to ask whether genome-scale function annotations are biologically plausible, not only accurate protein by protein. #GeneOntology #Bioinformatics 1/6

What is it with "dossiers"? My Claude Code has become obsessed with using the word dossier to describe any kind of report or summary document. Curious if this is something that just leaked into my context and propagated, or if it got imprinted upstream at the RLHF stage. Anyone else see this?

Every Valentine’s Day I ponder the ontological, ontogenic, and phylogenetic basis of the metazoan primary pulsatile organ. Enjoy this old thread (originally posted on twitter many years ago, the import didn’t preserve the dates)

Chris Mungall@cmungall.bsky.social · 6y ago

Happy #ValentinesDay! The 🤎 has been associated with love since ancient Greece. While humans only have one kind of 🤎, there is a large diversity of pumping organs in animals. Our #ComparativeAnatomy ontology Uberon (@uberanat) has 12 different kinds of 🤎! Here are a few: 1/

Over the last few months I've been helping organize various tutorials and workshops on agentic AI, aimed mostly at biocurators, ontology developers, and PIs of knowledge bases / data resources. Some of this might be generally useful to folks who don't identify as a 'technical' or an 'AI' person.🧵

We developed and evaluated a method to learn python chemical structure classifiers using LLMs. These can give classifications+explanations at runtime. With @jannahastings.bsky.social @justaddcoffee.bsky.social Noel O'Boyle, Daniel Korn, Adnan Malik jcheminf.biomedcentral.com/articles/10....

Chemical classification program synthesis using generative artificial intelligence - Journal of Cheminformatics

Accurately classifying chemical structures is essential for cheminformatics and bioinformatics, including tasks such as identifying bioactive compounds of interest, screening molecules for toxicity to humans, finding non-organic compounds with desirable material properties, or organizing large chemical libraries for drug discovery or environmental monitoring. However, manual classification is labor-intensive and difficult to scale to large chemical databases. Existing automated approaches either rely on manually constructed classification rules, or are deep learning methods that lack explainability. This work presents an approach that uses generative artificial intelligence to automatically write chemical classifier programs for classes in the Chemical Entities of Biological Interest (ChEBI) database. These programs can be used for efficient deterministic run-time classification of SMILES structures, with natural language explanations. The programs themselves constitute an explainable computable ontological model of chemical class nomenclature, which we call the ChEBI Chemical Class Program Ontology (C3PO). We validated our approach against the ChEBI database, and compared our results against deep learning models and a naive SMARTS pattern based classifier. C3PO outperforms the naive classifier, but does not reach the performance of state of the art deep learning methods. However, C3PO has a number of strengths that complement deep learning methods, including explainability and reduced data dependence. C3PO can be used alongside deep learning classifiers to provide an explanation of the classification, where both methods agree. The programs can be used as part of the ontology development process, and iteratively refined by expert human curators.

jcheminf.biomedcentral.com

Very exciting to see the research from @cziscience.bsky.social on the rBio distilling a black box foundation model (in this case a "virtual cell" perturbation model) into a smaller reasoner LLM. And it uses ontologies as part of RL! chanzuckerberg.com/blog/rbio-re...

rBio: Reasoning Model Trained on Virtual Cell Simulations

Scientists can ask complex biological questions in plain language and get predictions about gene interactions.

chanzuckerberg.com

Exceptional Contributions to Biocuration - Lifetime Achievement Award winner: Ruth Lovering Ruth has contributed extensively to the curation of key resources such as HGNC, Gene Ontology (GO), and IMEx, and has been instrumental in developing curation standards. Ruth is a past chair of the ISB EC.

Congratulations to Ruth Lovering from the University College London, UK for winning the Exceptional Contributions to Biocuration, Lifetime Achievement Award 2025. A photo of Ruth is next to the text.

Exceptional Contributions to Biocuration - Advanced Career Award winner: Kimberly Van Auken Kimberly's career reflects expertise, sustained innovation, & dedicated service to community. She's contributed to many projects, including WormBase, the Gene Ontology, & the Alliance of Genome Resources.

Congratulations to Kimberly Van Auken from the California Institute of Technology, USA for winning the Exceptional Contributions to Biocuration, Advanced Career Award 2025. A photo of Kimberly is next to the text.

Exceptional Contributions to Biocuration - Early Career Award winner: Tiago Lubiano. Tiago's a passionate and motivated scientist interested in linked open data, ontologies, the semantic web, and their application in modeling cells and cell types. He is active in many curation projects & with ISB.

Congratulations to Tiago Lubiana from the University of Sao Paulo, Brazil for winning the Exceptional Contributions to Biocuration, Early Career Award 2025. A photo of Tiago is next to the text.

Looking forward to seeing many of you this week at ISMB, and talking to you about our work on agentic AI and knowledge bases! Doubly honored to be selected for this joint session, the open-bio community has been a huge influence on how I approach ontologies and knowledge base development.

Bioinformatics Open Source Conference (BOSC)@bosc.bsky.social · last yr.

On Day 2, kicking off the joint BOSC/BOKR session, Chris Mungall (@cmungall.bsky.social) will discuss "Open Knowledge Bases in the Age of Generative AI". @bokr.bsky.social More info: www.open-bio.org/events/bosc-... (2/2)

Wow, AlphaGenome is a huge deal, 1mb context windows, and prediction of a variety of features, with cell and tissue specificity! Read @anshulkundaje.bsky.social's excellent thread for the details. I want to additionally highlight one additional thing for my structured data nerd friends...

Anshul Kundaje@anshulkundaje.bsky.social · last yr.

This a really exciting leap forward for genomic sequence to activity gene regulation models. It is a genuine improvement over pretty much all SOTA models spanning a wide range of regulatory, transcriptional and post-transcriptional processes. 1/