Seyone Chithrananda
@seyonec.bsky.social
trying to learn bio and computation at Berkeley
Post-preprint, we’ve added guidance on how to check for exchangeability (i.e.: does a given similarity threshold’s guarantee hold on your test proteins of interest?) prior to calibration, refined code usability and notation.
It was awesome working on this with Ron, Anastasios, & crew! (3/3)
It was awesome working on this with Ron, Anastasios, & crew! (3/3)
January 6, 2025 at 12:39 AM
Post-preprint, we’ve added guidance on how to check for exchangeability (i.e.: does a given similarity threshold’s guarantee hold on your test proteins of interest?) prior to calibration, refined code usability and notation.
It was awesome working on this with Ron, Anastasios, & crew! (3/3)
It was awesome working on this with Ron, Anastasios, & crew! (3/3)
Our work provides steps for how to do calibrated annotation for domains of unknown function, enzyme search, and to conduct proteome-scale structural searches in a fraction of the time through pre-filtering.
Think of it as a “model-free pLDDT”-style confidence for embedding-based search! (2/3)
Think of it as a “model-free pLDDT”-style confidence for embedding-based search! (2/3)
January 6, 2025 at 12:33 AM
Our work provides steps for how to do calibrated annotation for domains of unknown function, enzyme search, and to conduct proteome-scale structural searches in a fraction of the time through pre-filtering.
Think of it as a “model-free pLDDT”-style confidence for embedding-based search! (2/3)
Think of it as a “model-free pLDDT”-style confidence for embedding-based search! (2/3)