Emanuel Gonçalves

@emanuelvgo.bsky.social

Assistant Professor Instituto Superior Técnico (IST) and INESC-ID https://web.tecnico.ulisboa.pt/emanuel.v.goncalves/

I made a presentation to other faculty about recent progress in general AI, to facilitate the discussion around the impact for research and teaching in biology. It could be that the slides are useful for others trying to do that same. Feel free to re-use. docs.google.com/presentation...

generalAI_for research_intro.pptx

Recent AI developments and what they mean for us Quick primer on general AI models* State-of-the-art in AI agent capabilities AI agents in biology (examples) Discussion - what does this mean for our r...

docs.google.com

Our tool MetaProViz is now out in Molecular Systems Biology: doi.org/10.1038/s443... Since our preprint we: - advanced our feature processing workflow - added metabolite-sets to MetSigDB - added metabolite-set visualization to aid functional analysis

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Saez-Rodriguez Group@saezlab.bsky.social · last yr.

We present our MetaProViz #Rpackage for #metabolomics analysis & prior knowledge integration to generate mechanistic hypotheses on how metabolic changes affect metabolite classes, pathways & environment interaction 🔗 www.biorxiv.org/content/10.1... 📦 saezlab.github.io/MetaProViz/ 🧵 Thread ⬇️

Hot off the press in Nature! After 10 years, 2,780 patients and 300+ scientists, today we announce the Human Cancer Models Initiative (HCMI) release of 665 organoids and other next generation models! All models and data available to accelerate cancer drug discovery! @nature.com rdcu.be/fx3I3

A compendium of next-generation patient-derived models for diverse cancers

Nature - The international collaboration of the Human Cancer Models Initiative presents a comprehensive resource of next-generation cancer models from 2,780 donors with 25 cancer types and...

rdcu.be

The time to register for this is now! It's a great opportunity for biological / biomedical researchers who want to get better in analysing their own data.

Wolfgang Huber@wkhuber.bsky.social · 10mo ago

CSAMA 2026 - Biological Data Science Summer School Bressanone-Brixen, South Tyrol / Italy 24-29 May 2026 csama2026.bioconductor.eu Statistical & computational methods for single cell and spatial omics, with lectures and hands-on exercises in R/Bioconductor.

Screenshot of the course website

Happy to share new work led by @miraburtscher.bsky.social, together with colleagues from @savitski-lab.bsky.social, @saezlab.bsky.social (shout-out to @martingarridorc.bsky.social), @zimmermannlab.bsky.social and others. Original post + paper below! 👇

Savitski Lab@savitski-lab.bsky.social · 8mo ago

Rewiring of oncogenic signaling in #DrugResistance is a moving target. In our new study, we used biophysical phosphoproteomics to investigate #BRAF mutant cancer, linking phosphorylation changes to protein function and #MolecularMechanisms through #Multi-Omics integration. tinyurl.com/funsignaling

🚀 Announcing the Official @opentargets.org MCP! We've partnered with @anthropic.com to give AI seamless access to high-quality genetic and target-discovery data. Open for the entire community to accelerate therapeutic development. Read more at blog.opentargets.org/official-ope...

Introducing the official Open Targets Platform Model Context Protocol

We have released the first iteration of a dedicated MCP server to bring our systematic target discovery capabilities to Large Language Model (LLM)-based workflows.

blog.opentargets.org

Open Targets@opentargets.org · 9mo ago

Introducing the official Open Targets Platform Model Context Protocol 🧬🖥️ In partnership with @anthropic.com, we’ve created an MCP server making Open Targets Platform data accessible to AI-powered tools and agents Try it out and watch out for future releases: mcp.platform.opentargets.org/mcp

WRN inhibitors are being tested in patients with MSI cancers. How do tumours adapt to WRN inhibition, and can therapy stay ahead of resistance? Our latest preprint investigates how MSI tumours evolve under pressure from WRN inhibition. Highlights below.

Finally the scary example. The image of a western blot with a time course experiment, staining a protein of interest, showing the increase of protein over time and a second staining with a control antibody that does not change over time

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I tried the updated Gemini image generator on scientific related image prompts that have failed in the past and I am really impressed by the quality of the outputs. The first is drawing a diagram for a pocket prediction algorithm using Voronoi diagram, Delaunay triangulation and alpha shapes

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