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We present some progress on using ML to improve the most common bioinformatics task: searching for related sequences. Some new work with Kyunghyun Cho Tymor Hamamsy Jamie Morton and a few gRED and Prescient people. biorxiv.org/content/10.110…

Protein remote homology detection and structural alignment using deep learning go.nature.com/3LfNutP

CDS PhD student Tymor Hamamsy (Tymor Hamamsy) & team (including Kyunghyun Cho) take #bioinformatics to new heights with structure-aware sequence search and LLMs. Potential game-changer for drug discovery & more! #datascience #machinelearning nyudatascience.medium.com/from-sequence-…

How can we make healthcare systems more financially resilient? Enter Phare Health - an AI-native financial OS. We're thrilled to lead its seed & welcome Martin Seneviratne, Lee, Tymor Hamamsy, & team to the GC family! By Chris Bischoff & Alexandre Momeni ↓ generalcatalyst.com/perspectives/o…

Learning sequence, structure, and function representations of proteins with language models biorxiv.org/cgi/content/sh… #biorxiv_bioinfo

very thrilled about this work, and even more thrilled because i think we can do even better!

Use contrastive learning to finetune protein language model embeddings for structural and functional information, then combine into one database for fast search and annotation. biorxiv.org/content/10.110… Tymor Hamamsy Meet Barot Jamie Morton @thesteinegger Richard Bonneau Kyunghyun Cho