Arcadia Science

Arcadia Science

@arcadiascience.com

Research and development company leveraging the biology of diverse organisms. Read about our science: http://research.arcadiascience.com

1.6K followers16 following74 posts

Rishi De-Kayne@rishidekayne.bsky.social

New pub! We analyzed protein structures across 36 Drosophila species and found something unexpected: tandem dimers and even trimers lurking in protein structure databases that likely aren't real proteins at all. 🧵 thestacks.org/publications... [1/9]

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6/6 As the field shifts toward MSA-based architectures, the quality of input alignments becomes paramount. MSA Pairformer encodes evolutionary signal well, but future architectures might benefit from learning when to trust that signal.

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4/6 But surprisingly, encoding phylogeny ≠ leveraging it. Comparing learned weights against uniform averaging for contact prediction, the aggregate improvement was marginal. Per-MSA, uniform averaging outperformed learned weights about half the time, sometimes by a large margin.

5/6 We traced this to layers 5-11, which integrate sequence weights blindly, regardless of whether they help or hurt. When they hurt prediction, we could progressively rescue performance by shuffling weights at earlier layers, saving the model from its own bad intuition.

2/6 Their key innovation is query-biased attention, where the model weights MSA sequences by relevance to the query. We tested whether "relevance" maps onto phylogenetic distance by correlating sequence weights with evolutionary distances across thousands of protein families.

3/6 The model consistently upweights evolutionarily close sequences and downweights distant ones, despite never being trained on this. There's also a division of labor across layers: layer 11 acts as a strong phylogenetic filter, while others contribute more modestly.

This resource is perfect for scientists who want to try Raman spectroscopy without committing to expensive commercial systems, or current OpenRAMAN users who want to add automation to their experiments. [7/8]

We demonstrated AutoOpenRaman's capabilities by automatically collecting 200 Raman spectra from Chlamydomonas reinhardtii colonies in 68 minutes across a 96-well plate format. The system successfully detected β-carotene signatures in the algae. [6/8]

Two Arcadia talks today! 11:15 am — Athena CD — George Sandler “The potential of machine learning for genomic prediction in a quantitative genetics framework” 11:45 am — Athena F — Ryan York “Evolution determines what machines can learn”

As #Evol2025 talks wrap up for the day, our mixer begins! Come upstairs at The Globe any time til 7:30 to learn about opportunities at Arcadia over charcuterie & drinks 🍷🧀 We’re looking for a Computational Evolutionary Biologist, Evolutionary Cell Biologist, and more…

We’re at ‪@evolmtg.bsky.social‬! Follow us for updates on talks as the conference unfolds. We’re also hosting a free careers mixer 🍺 at The Globe tomorrow @ 5:30 pm — join us! #Evol2025

Researchers often use a compound called 48/80 to activate mast cells for degranulation assays... But it's toxic ☠️ in the two cell lines we tested: HMC1.2 (human mast cells) and RBL-2H3 (rat basophils) This could confound many studies — please share! 🧪 research.arcadiascience.com/pub/result-4...

research.arcadiascience.comCompound 48/80 is toxic in HMC1.2 and RBL-2H3 cellsWe found that compound 48/80, an MRGPRX2 agonist and commonly used in vitro mast cell activator, is toxic in HMC1.2 (human mast cells) and RBL-2H3 (rat basophils). Researchers should use caution and i...