Barcelona Collaboratorium

@barcelonacollaboratorium.com

The Barcelona Collaboratorium for Modelling & Predictive Biology is a joint initiative by @crg.eu & @embl.org, exploring biology's frontiers with computational and theoretical modeling to make systems predictable & controllable.

Out now in PLOS Computational Biology 🧬 We have an established theoretical framework for genotype–phenotype (GP) maps, describing their structural features and how those features shape evolution. But much of this assumes one discrete phenotype per genotype - which is often not true.

🔬 Our next Seminar at the Collaboratorium: 30 Apr, 09:00 (PRBB, Barcelona) Leon Peshkin (Harvard) on reverse-engineering aging via pharmaco-biology & model organisms. Hosted by Jeremy Gunawardena (Collab-UPF). Access by registration only for non members of the PRBB. 🧪

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Kye Hunter and @n-martin.bsky.social from the Collaboratorium have some results to share! Access this preprint: "Using a simplified Rough Mount Fuji model to disentangle how multi-peaked fitness landscapes can be highly navigable"

Nora Martin@n-martin.bsky.social · 5mo ago

🧵 New preprint: doi.org/10.64898/202... In 2023, Papkou et al. reported an empirical fitness landscape with a striking property: >500 local optima ("peaks"), spanning both high and low fitness. Despite this ruggedness, >75% of simulated adaptive walks reached the top ~14% of peaks.