Rishi De-Kayne

Rishi De-Kayne

@rishidekayne.bsky.social

Scientist at Arcadia Science Website || https://rishidekayne.github.io/

454 followers506 following31 posts

Rishi De-Kayne reposted

We're hiring a genetics lab manager position at NOAA in Juneau, Alaska! The successful candidate will oversee day-to-day laboratory operations and contribute to the development of new molecular methods. Salary is $75-145k/yr. Email wes.larson@noaa.gov with questions www.usajobs.gov/GetJob/ViewD...

usajobs.govBiologist (Omics)This position is located in the National Oceanic and Atmospheric Administration (NOAA), National Marine Fisheries Service (NMFS). Vacancies may be available in each listed location. Additional duty lo...

🚨 #Evol2026 attendees - our team at @arcadiascience.com is hiring! We're looking to hire a computational evolutionary biologist interested in asking how and why protein sequences/structures/functions differ across the tree of life 🧬 jobs.lever.co/arcadiascien... Please share widely!

jobs.lever.coArcadia Science - Platform Scientist: Comparative Protein EvolutionA Bit About Us: We're Arcadia Science, an evolutionary biology company founded and led by scientists. Our mission is to turn natural innovations into real-world solutions by developing systematic and ...

🚨 We're hiring computational evolutionary biologists! 🚨 Boosting this - industry evolutionary biology jobs don't come along often, so if you're excited to apply your computational evolutionary biology skills to cutting-edge problems, let's talk! πŸ§ͺπŸ§¬πŸ’»

Rishi De-Kayne@rishidekayne.bsky.social

Our team at @arcadiascience.com is hiring! We're looking to hire a computational evolutionary biologist interested in asking how and why protein sequences/structures/functions differ across the tree of life 🧬 jobs.lever.co/arcadiascien... Please share widely!

If you use PyMOL in your work, but find its command-driven workflow a bottleneck to getting from an idea to cool analyses, check out Evan's pub: thestacks.org/publications... - Agentic PyMOL is an MCP server that allows you to carry out PyMOL analyses quickly and intuitively using natural language!

thestacks.orgAgentic PyMOL: Structural analysis in PyMOL through natural languageAgentic PyMOL is an MCP server that gives language-model agents discoverable, two-way access to a user's live PyMOL session, letting agents both manipulate molecular visualizations and read structured...

Rishi De-Kayne reposted

Looking forward to kicking off the seminar series of our special topic network on structural variants #SV in evolutionary biology. @eseb.bsky.social Join us in listening to Pr. Rieseberg on April 29

STRIVE@strivestn.bsky.social

🌻 Next STRiVE seminar: Loren Rieseberg (UBC) explores SVs, adaptation & speciationβ€”from wild sunflowers to 1000+ species! πŸ—“οΈ Apr 29 | 9am PDT / 6pm CEST βœ‰οΈ Zoom link via mailing list: groupes.renater.fr/sympa/subscr... ℹ️ Info: structuralvariantsstn.github.io/about/

This matters because protein structure prediction is increasingly being run on sequences from non-model organisms where we have little prior knowledge. Erroneous sequences from genome misassembly can silently percolate through prediction models into structure databases. [8/9]

Most tandem dimers turned out to comprise two different genes, Jhbp7 and takeout, which sit next to each other in the genome. The domain order in every dimer matched the gene order in the D. melanogaster genome, strongly suggesting misassembly or misannotation rather than real biology. [6/9]

Our phylogenetic analysis shows this clearly: split domains from tandem proteins land in the same clusters as their separately annotated counterparts, not together as you'd expect if they shared a single evolutionary origin. [7/9]

To figure out what was going on, we built a pipeline to split tandem-domain proteins into their constituent parts using HMM profiles, then used phylogenetics and BLASTp to identify what each domain actually was. [5/9]

Digging in, we found these long sequences were tandem dimers and trimers of the conserved domain. These structures had been inferred from what appear to be erroneous input sequences. [3/9]

We have an opportunity to join our team at @arcadiascience.com jobs.lever.co/arcadiascien... We're looking for an evolutionary biologist who thinks a lot about protein evolution. If you have experience investigating genomic and amino acid sequence evolution and protein structural evolution, apply!

jobs.lever.coArcadia Science - Platform Scientist: Protein EvolutionA Bit About Us: We're Arcadia Science, an evolutionary biology company founded and led by scientists. Our mission is to turn natural innovations into real-world solutions by developing systematic and ...

This framework could help us move from serendipitous discovery toward predictive identification of bio-utility across the tree of life. Read the full perspective for the details. [8/8]

The key? Identifying indicators of bio-utility from protein variation itself: β€’ Proteins with extreme properties (like extremophile polymerases) β€’ Proteins with discrete novel functions (like different proteases) β€’ Proteins showing conserved or convergent functions (like antifreeze proteins) [5/8]

But protein data alone isn't enough. Integrating evolutionary relationships between species with this protein information helps us understand where useful functions evolved, distinguish conservation from convergence, and spot breakthrough novelty in constrained protein families. [6/8]

In silico bioprospecting tries to fix this by mining existing databases. But those databases are taxonomically biased (see another one of our pubs dropping today: thestacks.org/publications...), and the methods often require knowing what you're looking for upfront. [3/8]

thestacks.orgBiology needs to become prospectiveSince biological data are often non-independent, more data doesn't always mean more insight. We argue that a prospective approach is needed to uncover the deepest principles of life.

We propose an evolution-integrated framework that combines the best of both worlds: expanding sampling breadth while more deeply interrogating existing data through an evolutionary lens. [4/8]

Bioprospecting has given us incredible discoveries, from life-saving drugs to agricultural innovations. But traditional approaches rely heavily on serendipity and are hard to scale. [2/8]

Interested in whether protein language models can learn about evolution and leverage this to predict protein structures? Check out the pub!

Arcadia Science@arcadiascience.com

1/6 What does MSA Pairformer learns about evolutionary relationships? @yoakiyama.bsky.social et al achieved impressive contact & variant-fitness predictions w a fraction of ESM2's parameters; we wanted to better understand the mechanism arcadia-science.github.io/2025-phyloge... πŸ§ͺ🧬 πŸ–₯️

Rishi De-Kayne reposted

I am recruiting PhD students to join my lab at MSU starting Fall 2026! Please spread the word and reach out if you are interested and/or want to learn more!

Rishi De-Kayne reposted

Rishi De-Kayne reposted

Rishi De-Kayne reposted

Thrilled to share a new lab pre-print from graduate student Tris Dodge! Tris & co elegantly uncover the genetic underpinnings and fitness consequences of a sexual mimicry polymorphism in Xiphophorus birchmanni: www.biorxiv.org/content/10.1...

biorxiv.orgComplex structural variation and behavioral interactions underpin a balanced sexual mimicry polymorphismbioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution

Hi everyone! It's about time I introduced myself - I'm Rishi and I'm doing a Postdoc at UC Santa Cruz working on adaptation genomics in Poeciliid fishes and Danaus butterflies. I'm particularly the role(s) of structural variation in evolution! 🧬 πŸ§ͺ

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