So happy to see our work finally published in @pnas.org! 馃コ
This project was a deep dive into convergent evolution, HGT, and gene fission. It shows how messy and beautiful evolution can be.
Huge thanks to the amazing team involved!
Read the full paper here:
馃敆 www.pnas.org/doi/10.1073/...
Wrapping up an incredible final day at the APSPM meeting! Huge thanks to the organizers @cpuentelelievre.bsky.social @proteinmechanic.bsky.social Jordan Douglas and all the speakers for the brilliant talks and rich discussions. Beautiful Brisbane!
#StrPhy #StrPhy26 #StructuralPhylogenetics
鉁∣ur preprint about the evolution and origins of the aerobic plasmalogen biosynthesis pathway is now published in @pnas.org !
馃ЙOur beloved myxobacteria share more than we think with eukaryotes
Great collaboration with @multicellgenome.bsky.social and @jtrinidad13.bsky.social
It was a pleasure working with such a group of people lead by Montse with @jtrinidad13.bsky.social @irenedelrey.bsky.social @konsmitsi.bsky.social @sebasn1.bsky.social and others!
Indeed! Very nice collaboration with @irenedelrey.bsky.social @sebasn1.bsky.social @konsmitsi.bsky.social @jtrinidad13.bsky.social Montse Elias, Padhu & others to decipher the origin of the #plasmalogen biosynthesis pathway. @ibe-barcelona.bsky.social @icreacommunity.bsky.social @csic.es
Juan Manuel Trinidad Barnech
Juan Manuel Trinidad Barnech
Juan Manuel Trinidad Barnech
FANTASIA's paper is finally out! Check it out if you're interested in alternative methods to homology for functional annotation in nonmodel organisms 馃馃悪馃馃К馃悵馃
@gemmaeling.bsky.social @amrojasm.bsky.social @ibe-barcelona.bsky.social @cabd-upo-csic.bsky.social
@csic.es www.nature.com/articles/s42...
Irene del Rey Naval贸n
I帽aki Ruiz-Trillo
I帽aki Ruiz-Trillo
Excited to share work with
Zhidian Zhang, @milot.bsky.social, @martinsteinegger.bsky.social, and @sokrypton.org
biorxiv.org/content/10.1...
TLDR: We introduce MSA Pairformer, a 111M parameter protein language model that challenges the scaling paradigm in self-supervised protein language modeling馃У
MMseqs2-GPU sets new standards in single query search speed, allows near instant search of big databases, scales to multiple GPUs and is fast beyond VRAM. It enables ColabFold MSA generation in seconds and sub-second Foldseek search against AFDB50. 1/n
馃搫 www.nature.com/articles/s41...
馃捒 mmseqs.com
