Yo Akiyama
@yoakiyama.bsky.social
📤 723
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MIT EECS PhD student in solab.org Building ML methods to understand and engineer biology
reposted by
Yo Akiyama
Martin Steinegger 🇺🇦
4 days ago
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 📄
www.nature.com/articles/s41...
💿
mmseqs.com
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GPU-accelerated homology search with MMseqs2 - Nature Methods
Graphics processing unit-accelerated MMseqs2 offers tremendous speedups for homology retrieval from metagenomic databases, query-centered multiple sequence alignment generation for structure predictio...
https://www.nature.com/articles/s41592-025-02819-8
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reposted by
Yo Akiyama
Martin Steinegger 🇺🇦
about 2 months ago
MMseqs2 v18 is out - SIMD FW/BW alignment (preprint soon!) - Sub. Mat. λ calculator by Eric Dawson - Faster ARM SW by Alexander Nesterovskiy - MSA-Pairformer’s proximity-based pairing for multimer prediction (
www.biorxiv.org/content/10.1...
; avail. in ColabFold API) 💾
github.com/soedinglab/M...
& 🐍
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reposted by
Yo Akiyama
Sergey Ovchinnikov
about 2 months ago
Side story: While working on the Google Colab notebook for MSA pairformer. We encountered a problem: The MMseqs2 ColabFold MSA did not show any contacts at protein interfaces, while our old HHblits alignments showed clear contacts 🫥... (2/4)
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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🧵
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Scaling down protein language modeling with MSA Pairformer
Recent efforts in protein language modeling have focused on scaling single-sequence models and their training data, requiring vast compute resources that limit accessibility. Although models that use ...
https://biorxiv.org/content/10.1101/2025.08.02.668173v1
about 2 months ago
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