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Gonzalo Parra

@gonzaparra.bsky.social

RamΓ³n y Cajal Junior Group Leader @BSC_CNS πŸ‡¦πŸ‡·πŸ‡ͺπŸ‡ΈπŸ³οΈβ€πŸŒˆ ENFJ | Bioinformatics | 3DSIG Co-Chair | @fi_uner, @exactas_uba, @mpi_bpc, @embl, @dkfz alumnus | @iscb BoD | Opinions my own

743 Followers  |  262 Following  |  117 Posts  |  Joined: 21.11.2023  |  2.2489

Latest posts by gonzaparra.bsky.social on Bluesky

πŸš€ As first official act, we are hiring! πŸŽ“
We’re looking for a PhD student to work at the interface of computational biophysics, machine learning & human mutations. πŸ“Œ FPI fellowship, 4 years fully funded!

More information here:
www.bsc.es/join-us/job-...

02.10.2025 08:12 β€” πŸ‘ 15    πŸ” 9    πŸ’¬ 2    πŸ“Œ 0

Thanks! πŸ™Œ

03.10.2025 09:18 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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After months of buildup, it’s finally real! πŸŽ‰ The Evolutionary Systems Biophysics Group (ESBG) is officially alive at @bsc-cns.bsky.social . Proud to start this new adventure as a Ramon y Cajal Junior Group Leader🧬
Thanks to all who have been part of this process!
tinyurl.com/4r9vf4zx

02.10.2025 08:06 β€” πŸ‘ 10    πŸ” 3    πŸ’¬ 0    πŸ“Œ 1

Gracias! 😱

02.10.2025 08:13 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

πŸš€ As first official act, we are hiring! πŸŽ“
We’re looking for a PhD student to work at the interface of computational biophysics, machine learning & human mutations. πŸ“Œ FPI fellowship, 4 years fully funded!

More information here:
www.bsc.es/join-us/job-...

02.10.2025 08:12 β€” πŸ‘ 15    πŸ” 9    πŸ’¬ 2    πŸ“Œ 0
Post image

After months of buildup, it’s finally real! πŸŽ‰ The Evolutionary Systems Biophysics Group (ESBG) is officially alive at @bsc-cns.bsky.social . Proud to start this new adventure as a Ramon y Cajal Junior Group Leader🧬
Thanks to all who have been part of this process!
tinyurl.com/4r9vf4zx

02.10.2025 08:06 β€” πŸ‘ 10    πŸ” 3    πŸ’¬ 0    πŸ“Œ 1
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Arousal as a universal embedding for spatiotemporal brain dynamics - Nature Reframing of arousal as a latent dynamical system can reconstruct multidimensional measurements of large-scale spatiotemporal brain dynamics on the timescale of seconds in mice.

Whole brain dynamics in the ~10s regime shows synchronized propagation of topographically organized rotating waves, driving behavior, calcium fluxes, band-limited power, metabolism, blood flow, etc. All can be predicted from time-lagged embedding of pupil size alone! www.nature.com/articles/s41...

25.09.2025 20:16 β€” πŸ‘ 4    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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Delighted to see our paper studying the evolution of plasmids over the last 100 years, now out! Years of work by Adrian Cazares, also Nick Thomson @sangerinstitute.bsky.social - this version much improved over the preprint. Final version should be open access, apols.
Thread 1/n

25.09.2025 21:28 β€” πŸ‘ 298    πŸ” 153    πŸ’¬ 14    πŸ“Œ 8

LinkedIn just notified about my 4th year annyversary working at the @bsc-cns.bsky.social, time flies!!! It's been a great chapter so far in my scientific journey!! A lot of projects on the list! #ILoveScience

22.09.2025 09:25 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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πŸ₯ Check out our new preprint on OmniPath, the prior knowledge resource for #SystemsBiology, and its brand-new OmniPath Explorer web app! πŸ₯³

πŸ“– Preprint: www.biorxiv.org/content/10.1...
πŸ” Explorer: explore.omnipathdb.org

OmniPath integrates 160+ resources for multi-omics analysis & modeling.

πŸ§Άβ¬‡οΈ

17.09.2025 13:09 β€” πŸ‘ 33    πŸ” 18    πŸ’¬ 1    πŸ“Œ 0
Figure 3 from the paper with the caption: "Role of machine learning in de novo design of IDRs. (A) Machine-learning models can be trained on diverse data sources, from molecular dynamics simulations to annotations of cellular localization and protein structures from the Protein Data Bank. (B) Often implemented as neural networks using sequence-encoded features as input, these models can initially be trained on a limited region of sequence space as surrogate models. Through active learning, additional simulations are performed during the design campaign to generate new data, and the surrogate model is retrained on the expanded dataset to progressively improve its accuracy. (C) Machine-learning models have been developed to predict biophysical observables, biological annotations, and protein structures. When combined, machine-learning models can be used to identify a set of sequences that strike a trade-off between multiple design objectives, defining a Pareto front."

Figure 3 from the paper with the caption: "Role of machine learning in de novo design of IDRs. (A) Machine-learning models can be trained on diverse data sources, from molecular dynamics simulations to annotations of cellular localization and protein structures from the Protein Data Bank. (B) Often implemented as neural networks using sequence-encoded features as input, these models can initially be trained on a limited region of sequence space as surrogate models. Through active learning, additional simulations are performed during the design campaign to generate new data, and the surrogate model is retrained on the expanded dataset to progressively improve its accuracy. (C) Machine-learning models have been developed to predict biophysical observables, biological annotations, and protein structures. When combined, machine-learning models can be used to identify a set of sequences that strike a trade-off between multiple design objectives, defining a Pareto front."

New review on computational design of intrinsically disordered proteins πŸ–₯️🍝 by @giuliotesei.bsky.social @fpesce.bsky.social & πŸ‘΄

doi.org/10.48550/arX...

17.09.2025 16:17 β€” πŸ‘ 48    πŸ” 16    πŸ’¬ 0    πŸ“Œ 1
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10 Rules for a Structural Bioinformatic Analysis The Protein Data Bank (PDB) is one of the richest open‑source repositories in biology, housing over 277,000 macromolecular structural models alongside much of the experimental data that underpins thes...

Structural bioinformatics is incredibly powerful on its own or when paired with theory or experiment. One of the PDB's superpowers isn’t from one structure, but comparing many to uncover folds, binding sites, and subtle conformational shifts. chemrxiv.org/engage/chemr...

11.09.2025 14:28 β€” πŸ‘ 52    πŸ” 15    πŸ’¬ 1    πŸ“Œ 2
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It was lovely to speak at the CATH 30 symposium, celebrating 30 years of the @cathgene3d.bsky.social protein structure classification database. I was presenting recent work on our new generative protein-family language model: preprint coming soon.

18.09.2025 10:32 β€” πŸ‘ 11    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0
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Mapping early human blood cell differentiation using single-cell proteomics and transcriptomics Single-cell transcriptomics (scRNA-seq) has facilitated the characterization of cell state heterogeneity and recapitulation of differentiation trajectories. However, the exclusive use of mRNA measurem...

www.science.org/doi/10.1126/...

18.09.2025 05:38 β€” πŸ‘ 11    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0

That is great!!! It is for sure super useful! Thanks a lot!

17.09.2025 18:13 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Naiavirus: an enveloped giant virus with a pleomorphic, flexible tail - Nature Communications Rodrigues and Queiroz et al. report the discovery of Naiavirus, the largest enveloped virus, isolated from a Brazil biome. With an oval capsid and flexible tail, its giant genome holds many novel gene...

Naiavirus: an enveloped giant virus with a pleomorphic, flexible tail
nature.com/articles/s41467-025-63463-6

17.09.2025 15:36 β€” πŸ‘ 48    πŸ” 28    πŸ’¬ 0    πŸ“Œ 3

Dear Colleagues. We are in need of a molecular dynamics trajectory of a "folding upon binding event" where a protein with an IDR folds into its partner. Do you know of any published and available trajectory that we could use?? Thanksss a lot!

17.09.2025 17:40 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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De novo discovery of conserved gene clusters in microbial genomes with Spacedust - Nature Methods This work presents Spacedust, a tool for de novo identification of conserved gene clusters from metagenomic data.

Spacedust: a tool for de novo identification of conserved gene clusters from metagenomic data.
@ruoshiz.bsky.social @milot.bsky.social

www.nature.com/articles/s41...

16.09.2025 13:25 β€” πŸ‘ 44    πŸ” 24    πŸ’¬ 0    πŸ“Œ 1

Rob Finn on MGnify, everything bacteria and functions in different environments

16.09.2025 13:55 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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Now Maria MartΓ­n from UniProt is telling us how AI-based tools are shaping the future of one of the key resources for protein sequences and function.

16.09.2025 13:34 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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From structures to sequences, now Alex Bateman and the quest to annotate and classify all proteins!

16.09.2025 13:07 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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Starting our afternoon session with a talk by Sameer Velankar, of PDBe and AFDB fame among other endeavours!

16.09.2025 12:46 β€” πŸ‘ 4    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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And now @gonzaparra.bsky.social on his first talk on protein frustration as a PI! Well done!

16.09.2025 11:32 β€” πŸ‘ 6    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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David Jones, on novel folds in AFDB and CATH’s founding being celebrated at a now-closed Pizza place in Euston Station

16.09.2025 11:09 β€” πŸ‘ 4    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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From CATH to Computational Enzymology, Dame Janet Thornton on the birth of CATH and beyond!

16.09.2025 10:44 β€” πŸ‘ 4    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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First Keynote by Burkhard Rost, on the impact of protein language models on the field of structural biology

16.09.2025 10:19 β€” πŸ‘ 4    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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Kickstarting our symposium β€œProtein Annotations in the age of AI” at UCL!

16.09.2025 10:19 β€” πŸ‘ 7    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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Stephen Jay Gould was born OTD in 1941.

β€œOrganisms are not billiard balls, propelled by simple and measurable external forces to predictable new positions on life's pool table.... Organisms have a history that constrains their future in myriad, subtle ways.”

πŸ¦«πŸ¦‹πŸ‹πŸŒ±πŸ§ πŸ—ƒοΈπŸ§ͺ#HistSTM #PhilSci #EvoBio

10.09.2025 16:41 β€” πŸ‘ 158    πŸ” 44    πŸ’¬ 8    πŸ“Œ 8
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Global effort to sequence all life on Earth ramps up The Earth BioGenome Project is accelerating its efforts tenfold to sequence all life on Earth by 2035.

In the face of climate change, the race to understand life on Earth is on.

@ebpgenome.bsky.social is scaling up tenfold to sequence all known species by 2035.

At EMBL-EBI, we annotate these genomes, making them openly available for the global research community.

www.ebi.ac.uk/about/news/a...

09.09.2025 14:13 β€” πŸ‘ 21    πŸ” 6    πŸ’¬ 0    πŸ“Œ 1
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🚨 New in PNAS!
🧬 64% of disease co-occurrences can be explained by transcriptomic similarities.

Comorbidities aren’t randomβ€”they have a molecular basis.

Here’s how we found it πŸ‘‡ (1/n)

πŸ”— doi.org/10.1073/pnas.2421060122

@alfonsovalencia.bsky.social

02.09.2025 11:41 β€” πŸ‘ 27    πŸ” 14    πŸ’¬ 1    πŸ“Œ 4

@gonzaparra is following 20 prominent accounts