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Martin Garrido-Rodriguez

@martingarridorc.bsky.social
183 followers 130 following 18 posts

Postdoc Fellow at Saez-Rodriguez and Savitski labs (EMBL). Original from Córdoba, Spain.

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Reposted by Martin Garrido-Rodriguez
Milot Mirdita @milot.bsky.social · 16/09/2026
ColabFold 1.6.3 is out! 2.5x faster, pip-installable, ipSAE+pDockQ2 scores. Thanks Choonghwan Lee, Marielle Russo, Gyuri Kim 🐍pip install colabfold[alphafold] CF2 Sneak Peak with AF3/Boltz/Protenix/ESMFold2… 🐍pip install "colabfold[alphafold3]@git+https://github.com/sokrypton/ColabFold@af3-preview"
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 24/03/2026
¿Te interesa la biología computacional? #JABI2026 reunirá a grupos de investigación computacionales y no computacionales del sur de España y de otras regiones interesados en desarrollar aplicar herramientas bioinformáticas en su investigación. No te lo pierdas, ¡únete!
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EMBL @embl.org · 05/03/2026
Is the linear map of cell signaling a myth? New research suggests the reality of cellular networks is more complex. @savitski-lab.bsky.social & @saezlab.bsky.social combined experimental and computational expertise to test how we map kinase–substrate interactions. www.nature.com/articles/s41...
nature.com
Benchmarking EGF signaling pathway inference using phosphoproteomics and kinase-substrate interactions - Nature Communications
To what extent can large-scale approaches accurately reconstruct classic signaling pathways? Here, authors revisit the EGF pathway using phosphoproteomics and kinase-substrate interactions
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Saez-Rodriguez Group @saezlab.bsky.social · 02/03/2026
Interested in kinase-driven signaling interactions? Check out our (now peer-reviewed) paper together with @savitski-lab.bsky.social on reconstructing signaling networks from phosphoproteomics data and prior knowledge: ➡️ doi.org/10.1038/s414...
doi.org
Benchmarking EGF signaling pathway inference using phosphoproteomics and kinase-substrate interactions - Nature Communications
To what extent can large-scale approaches accurately reconstruct classic signaling pathways? Here, authors revisit the EGF pathway using phosphoproteomics and kinase-substrate interactions
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 02/03/2026
A comprehensive understanding of protein-driven signaling is not just conceptually satisfying. It is essential for better drugs, understanding resistance, and building “virtual cells”; a vision that will remain out-of-reach if we neglect protein-driven signaling.
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 02/03/2026
My take? Advancing our knowledge of signaling pathways will require scalable, unbiased, and reproducible perturbational phosphoproteomics, something that is slowly arriving but has not yet reached the scale of Perturb-seq transcriptomic atlases.
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 02/03/2026
Progress in our knowledge of signaling may require challenging core assumptions about how it works. Is phosphorylation-driven signaling a fine-tuned, precise engine? Or more of an explosion that searches for the activation or inhibition of transcriptional programs?
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 02/03/2026
These findings suggest kinase-driven signaling is far less mapped than we assume. Maybe not all phosphosites are equally informative, and many reported kinase–substrate interactions may be less robust than we think. Current maps likely mix missing edges with questionable ones.
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 02/03/2026
The result: ~90% of kinase–kinase interactions in the resulting networks are not part of any current ground truth set. Are they biologically real and relevant, or artifacts of incomplete knowledge and noise? We still don’t know, but the gap is hard to ignore.
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 02/03/2026
In this paper, we focused on EGF signaling and asked: how many kinase–kinase interactions, consistent with phosphoproteomics data and prior knowledge, belong to a bespoke “ground truth”? We benchmarked across datasets, resources, and “ground truth” definitions.
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 02/03/2026
One of the main stories of my postdoc is finally out! It builds on an intuition from my early days in omics data analysis: our signaling pathways are simply too small, underrepresenting cellular complexity after stimulation. Something obvious, yet surprisingly hard to quantify.
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Reposted by Martin Garrido-Rodriguez
Savitski Lab @savitski-lab.bsky.social · 24/02/2026
10 years and still standing strong @EMBL 🍾💪 Huge thanks to all members, alumni, supporters & colleagues who made it possible. Here’s to the next decade! 🙏
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Reposted by Martin Garrido-Rodriguez
Saez-Rodriguez Group @saezlab.bsky.social · 12/02/2026
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! 👇
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Reposted by Martin Garrido-Rodriguez
miraburtscher.bsky.social @miraburtscher.bsky.social · 11/02/2026
When I first learned about omics at university, I confidently stopped caring about single proteins. Fast-forward 4 years of a system’s biology PhD, I now have the most amazing favorite single protein which I can’t stop thinking about. Here is the story of how that happened 👀
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Reposted by Martin Garrido-Rodriguez
Savitski Lab @savitski-lab.bsky.social · 11/02/2026
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
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 27/01/2026
Gracias Victoria!
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 27/01/2026
Muy contento de estar de vuelta en casa para las #JABI2026. ¡Gracias por la invitación! ---- Happy to be back home for #JABI2026. Thanks for the invitation!
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Reposted by Martin Garrido-Rodriguez
EMBL Events @events.embl.org · 03/12/2025
Want to learn about the theoretical aspects of proteins/peptides analysis by mass spectrometry? Then join the #EMBLProteomics course where you will get hands-on experience in sample preparation and perform tandem mass tag labelling. Apply by 3 March:https://s.embl.org/sdp26-01-bl 🔬💻
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Kusterlab @kusterlab.bsky.social · 20/11/2025
New preprint 🚨 We systematically measured 17 million phospho-specific dose-response curves (133 kinase inhibitors × 5 cell lines) to decrypt the kinases that shape the human phosphoproteome. We show that drug perturbation potency (not effect size) links kinases to substrates while controlling FDR.
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Kejia Li @kejiali.bsky.social · 05/11/2025
Finally out! 🤩 Check out our HT- PELSA for high throughput screening!
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Reposted by Martin Garrido-Rodriguez
Savitski Lab @savitski-lab.bsky.social · 05/11/2025
Happy to see our HT-PELSA paper now published in @natsmb.nature.com 🎊 Big thanks for the constructive review process! 📖Read the manuscript here (www.nature.com/articles/s41...) & check the thread for additional information ⬇️
nature.com
High-throughput peptide-centric local stability assay extends protein–ligand identification to membrane proteins, tissues and bacteria - Nature Structural & Molecular Biology
Li et al. further develop a high-throughput peptide-centric local stability assay that speeds up sample preparation 100-fold and extends protein–ligand identification to membrane proteins, tissues and...
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Reposted by Martin Garrido-Rodriguez
Saez-Rodriguez Group @saezlab.bsky.social · 19/09/2025
🚨 New preprint We present an extended version of ScAPE, the method that won one of the prizes 🏆 in the @neuripsconf.bsky.social 2023 Single-Cell Perturbation Prediction challenge. 📄 preprint: doi.org/10.1101/2025... 🧬 code: github.com/scapeML/scape
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 19/09/2025
Our 2023 SCP model is now out as a manuscript! Curious about a lightweight baseline for your context generalization task? Check it out 👇
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bioRxivpreprint @biorxivpreprint.bsky.social · 09/09/2025
ScAPE: A lightweight multitask learning baseline method to predict transcriptomic responses to perturbations www.biorxiv.org/content/10.1101/202…
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Savitski Lab @savitski-lab.bsky.social · 20/08/2025
So grateful and honored to receive the MCP Lectureship Award at the #ASBMBProteomics meeting at the Broad Institute! Huge thanks to the wonderful organizers and to everyone—past and present—who’s been part of our lab.
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Constantin Ahlmann-Eltze @const-ae.bsky.social · 04/08/2025
Our paper benchmarking foundation models for perturbation effect prediction is finally published 🎉🥳🎉 www.nature.com/articles/s41... We show that none of the available* models outperform simple linear baselines. Since the original preprint, we added more methods, metrics, and prettier figures! 🧵
Beeswarm plot of the prediction error across different methods of double perturbations showing that all methods (scGPT, scFoundation, UCE, scBERT, Geneformer, GEARS, and CPA) perform worse than the additive baseline.Line plot of the true positive rate against the false discovery proportion showing that none of the methods is better at finding non additive interactions than simply predicting no change.
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 24/07/2025
This project has been in the making for quite some time. CORNETO not only integrates key concepts and methodologies in biological network inference, but also introduces a novel framework for multi-condition analysis. Congrats to the team, and especially to @pablormier.bsky.social for leading this.
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Reposted by Martin Garrido-Rodriguez
Saez-Rodriguez Group @saezlab.bsky.social · 22/07/2025
🎉 The revised version of CORNETO, our unified Python framework for knowledge-driven network inference from omics data, is published in peer reviewed form 🔗 Paper: www.nature.com/articles/s42... 📖 News & Views: www.nature.com/articles/s42... 💻 Code: corneto.org 🧵 Thread 👇
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Reposted by Martin Garrido-Rodriguez
EMBL-EBI @ebi.embl.org · 22/07/2025
How can we find out what’s really going on inside cells when we’re generating so much complex data? CORNETO is an open-source tool that uses machine learning to turn tangled omics datasets into clear maps of how genes, proteins, and signalling pathways interact. www.ebi.ac.uk/about/news/r... 🧪
ebi.ac.uk
CORNETO: machine learning to decode complex omics data
New tool combines biological knowledge with machine learning to help researchers extract meaningful insights from complex omics data.
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Reposted by Martin Garrido-Rodriguez
Julio Saez-Rodriguez @juliosaezrod.bsky.social · 23/06/2025
I wrote a short piece on how becoming an IgA Nephropathy patient has changed my perspective on biomedical research, developing an appreciation for the challenges in data interpretability & availability and the importance of patient engagement www.nature.com/articles/s41...
nature.com
Leveraging data as a patient–scientist: frustrations and opportunities - Nature Reviews Nephrology
The transition from data scientist to patient–scientist has given me new perspectives into clinical research and strengthened my commitment to open science. Although limitations on data availability h...
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Reposted by Martin Garrido-Rodriguez
Saez-Rodriguez Group @saezlab.bsky.social · 27/06/2025
The final version of our multi-omics study on kidney fibrosis is out now (tinyurl.com/kidneyfibMSB). Together w/ Pepperkok + Savitski labs @embl.org, we present a time-resolved #multiomics + computational network modeling approach in combination w/ phenotypic assays to study #kidneyfibrosis
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Reposted by Martin Garrido-Rodriguez
Nature Reviews Nephrology @natrevneph.nature.com · 19/06/2025
nature.com
Leveraging data as a patient–scientist: frustrations and opportunities
Nature Reviews Nephrology, Published online: 19 June 2025; doi:10.1038/s41581-025-00968-9The transition from data scientist to patient–scientist has given me new perspectives into clinical research and strengthened my commitment to open science. Although limitations on data availability have led to frustration, collaboration bodes well for a future in which patients will have access to more personalized information.
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Reposted by Martin Garrido-Rodriguez
Saez-Rodriguez Group @saezlab.bsky.social · 30/05/2025
In this Voices article, our @martingarridorc.bsky.social & @juliosaezrod.bsky.social discuss key strategies for building context-specific molecular networks: knowledge and data-driven methods, + future directions in the field bridging to structures and perturbations tinyurl.com/z8t6yych
cell.com
What is the current bottleneck in mapping molecular interaction networks?
Network biologists today have access to a rich assortment of interaction networks produced by assays such as affinity purification-mass spectrometry (AP-MS), yeast two-hybrid (Y2H) screening, co-fract...
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Reposted by Martin Garrido-Rodriguez
Sophia Müller-Dott @smuellerdott.bsky.social · 26/05/2025
Very excited that another chapter of my PhD is finally out! 🎉 We compared methods to infer kinase activities from #phosphoproteomics data so check it out if that sounds interesting to you. More details in the thread below 🧵👇🏼
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Reposted by Martin Garrido-Rodriguez
Saez-Rodriguez Group @saezlab.bsky.social · 23/05/2025
Ever wondered which method to use to infer kinase activities from phosphoproteomics data? 💻💭Our revised comprehensive evaluation of kinase activity inference tools, done in collaboration with the Zhang lab @bcmhouston.bsky.social, is now out @natcomms.nature.com 🔬 tinyurl.com/4twuc6z4
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 22/05/2025
We have shared some thoughts on the key challenges in mapping molecular interaction networks in this article. Check it out 👇! www.cell.com/cell-systems... Big thanks to @juliosaezrod.bsky.social and @cp-cellsystems.bsky.social for the opportunity to contribute!
cell.com
What is the current bottleneck in mapping molecular interaction networks?
Network biologists today have access to a rich assortment of interaction networks produced by assays such as affinity purification-mass spectrometry (AP-MS), yeast two-hybrid (Y2H) screening, co-fract...
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Reposted by Martin Garrido-Rodriguez
Pedro Beltrao @pedrobeltrao.bsky.social · 22/05/2025
@cp-cellsystems.bsky.social organized a set of short commentaries on: "What is the current bottleneck in mapping molecular interaction networks?" with contributions from many scientists working on these problems. www.cell.com/cell-systems...
cell.com
What is the current bottleneck in mapping molecular interaction networks?
Network biologists today have access to a rich assortment of interaction networks produced by assays such as affinity purification-mass spectrometry (AP-MS), yeast two-hybrid (Y2H) screening, co-fract...
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Martin Garrido-Rodriguez @martingarridorc.bsky.social · 12/05/2025
Heading back from Boston after attending the Future Developers meeting of the May Institute. Huge thanks to @olgavitek.bsky.social for organizing this meeting, and to all the participants for the great feedback and thoughtful discussions!
computationalproteomics.khoury.northeastern.edu
Future Developers Meeting – May Institute
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Reposted by Martin Garrido-Rodriguez
Trends in Biochemical Sciences @cp-trendsbiochem.bsky.social · 09/05/2025
Primary article: "Uncovering protein glycosylation dynamics and heterogeneity using deep quantitative glycoprofiling (DQGlyco)" from @savitski-lab.bsky.social et al - equal contribution from @miraburtscher.bsky.social, @martingarridorc.bsky.social, and Clement Potel. www.nature.com/articles/s41...
nature.com
Uncovering protein glycosylation dynamics and heterogeneity using deep quantitative glycoprofiling (DQGlyco) - Nature Structural & Molecular Biology
Here the authors present deep quantitative glycoprofiling (DQGlyco), a method that enables high-throughput analysis of protein glycosylation dynamics. Using DQGlyco, they link gut microbiome compositi...
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Reposted by Martin Garrido-Rodriguez
Trends in Biochemical Sciences @cp-trendsbiochem.bsky.social · 09/05/2025
Online now - the Spotlight "Accelerating the stride toward functional #glycoproteomics" from @timveth.bsky.social and @nmriley.bsky.social. #Glycoproteins #Glycoforms #Glycoprofiling #DQGlyco #Glycotime authors.elsevier.com/a/1l3k53S6Gf...
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Savitski Lab @savitski-lab.bsky.social · 29/04/2025
Want to know how the ligands interact with proteins beyond model cell lines, e.g., in tissues or bacteria? Interested in membrane targets? Check out our High-Throughput PELSA method which allows you do all these cool screenings for dozens of ligands within two hours! www.biorxiv.org/content/10.1...
biorxiv.org
High-throughput peptide-centric local stability assay extends protein-ligand identification to membrane proteins, tissues, and bacteria
Systematic mapping of protein-ligand interactions is essential for understanding biological processes and drug mechanisms. Peptide-centric local stability assay (PELSA) is a powerful tool for detectin...
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Reposted by Martin Garrido-Rodriguez
Jovan Tanevski @tanevski.bsky.social · 22/04/2025
🚨 New preprint: Topography Aware Optimal Transport for Alignment of Spatial Omics Data We present our new alignment framework TOAST www.biorxiv.org/content/10.1...
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Saez-Rodriguez Group @saezlab.bsky.social · 14/03/2025
📄 Update on our preprint about Gene Regulatory Net (GRN) benchmarking 📄 We have included the original and decoupled version of SCENIC+, added a new metric and two more databases. Dictys and SCENIC+ outperformed others, but still performed poorly in causal mechanistic tasks. doi.org/10.1101/2024... 👇
Performance of multimodal GRN inference methods. SCENIC+ and Dictys outperform others.
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Saez-Rodriguez Group @saezlab.bsky.social · 17/03/2025
Congrats to our @juliosaezrod.bsky.social and all other elected fellows of the International Society for Computational Biology (ISCB) as part of the 2025 Class
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Yasset Perez-Riverol @ypriverol.bsky.social · 11/03/2025
Relying on a ticket in our support: How do we know the number of RAW files for all the public datasets in @pride-ebi.bsky.social ? response: github.com/orgs/PRIDE-A... script: gist.github.com/ypriverol/f2...
github.com
How to know the number of RAW files for all the public datasets in PRIDE. · PRIDE-Archive · Discussion #57
Recently, someone asked PRIDE support how to get the number of RAW files from all PRIDE projects. Here, is the best solution: Before anything, you have to install pridepy: > pip install --upgrade p...
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Yasset Perez-Riverol @ypriverol.bsky.social · 11/03/2025
More important, if you have questions like this, other people can benefit from it. You don't need to send an email to pride support, just ask the question in our forum github.com/orgs/PRIDE-A...
github.com
Build software better, together
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
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Mann Lab @mannlab.bsky.social · 25/02/2025
Preprint just out: Our international team's perspective on proteomics and AI, led by Tiannan Guo. We outline key areas where global collaboration between AI and proteomics researchers can accelerate biological discoveries and medical applications. Check it out: arxiv.org/abs/2502.15867
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Victor Paton @vicpaton.bsky.social · 20/02/2025
Hot of the press!! Whether you feel your data can benefit from network biology, you’re a method developer, or you have some strategies to evaluate networks, check this out! NetworkCommons is actively looking for contributions :)
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Saez-Rodriguez Group @saezlab.bsky.social · 20/02/2025
The first version of NetworkCommons is now published in Bioinformatics. Next, we’ll focus on involving more of the network biology community. academic.oup.com/bioinformati... In parallel, we’ll continue expanding benchmarks and developing new applications. Interested in contributing? Reach out! ⬇️
academic.oup.com
NetworkCommons: bridging data, knowledge and methods to build and evaluate context-specific biological networks
AbstractSummary. We present NetworkCommons, a platform for integrating prior knowledge, omics data, and network inference methods, facilitating their usage
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