Gabriel Rocklin
@grocklin.bsky.social
1.4K followers
380 following
130 posts
Digests proteins. High-throughput protein biophysics and design, Northwestern University. www.rocklinlab.org
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Reposted by Gabriel Rocklin
Reposted by Gabriel Rocklin
Gabriel Rocklin
@grocklin.bsky.social
· Jul 31
Gabriel Rocklin
@grocklin.bsky.social
· Jul 31
Gabriel Rocklin
@grocklin.bsky.social
· Jul 31
Gabriel Rocklin
@grocklin.bsky.social
· Jul 31
Gabriel Rocklin
@grocklin.bsky.social
· Jul 31
Gabriel Rocklin
@grocklin.bsky.social
· Jul 31
Reposted by Gabriel Rocklin
Colette Delawalla
@cdelawalla.bsky.social
· Jul 30
Reposted by Gabriel Rocklin
Gen Wojcik
@genandgenes.bsky.social
· Jul 30
Reposted by Gabriel Rocklin
Roel Verhaak
@roelverhaak.bsky.social
· Jul 23
Gabriel Rocklin
@grocklin.bsky.social
· Jul 19
Large-scale discovery, analysis, and design of protein energy landscapes
All folded proteins continuously fluctuate between their low-energy native structures and higher energy conformations that can be partially or fully unfolded. These rare states influence protein funct...
www.biorxiv.org
Reposted by Gabriel Rocklin
Gabriel Rocklin
@grocklin.bsky.social
· Jul 9
Reposted by Gabriel Rocklin
Reposted by Gabriel Rocklin
Daniel Arango
@danyarango.bsky.social
· Jun 18
Reposted by Gabriel Rocklin
Ben Orr
@benorr.bsky.social
· Jun 10
An improved model for prediction of de novo designed proteins with diverse geometries
Nature uses structural variations on protein folds to fine-tune the geometries of proteins for diverse functions, yet deep learning-based de novo protein design methods generate highly regular, ideali...
www.biorxiv.org
Reposted by Gabriel Rocklin
Reposted by Gabriel Rocklin
Reposted by Gabriel Rocklin