Pablo Chacón
@chaconlab.bsky.social
Pablo Chacón is a biochemist and computational biologist at the Institute of Physical Chemistry (IQFR-CSIC) in Madrid, Spain, where he is the head of research of the Structural Bioinformatics Group.
Reposted by Pablo Chacón
Generative flow matching model for highly designable proteins:
Simon Wagner & Leif Seute et al., Generating Highly Designable Proteins with Geometric Algebra Flow Matching, Neurips 2024
arxiv.org/abs/2411.05238
Simon Wagner & Leif Seute et al., Generating Highly Designable Proteins with Geometric Algebra Flow Matching, Neurips 2024
arxiv.org/abs/2411.05238
Generating Highly Designable Proteins with Geometric Algebra Flow Matching
We introduce a generative model for protein backbone design utilizing geometric products and higher order message passing. In particular, we propose Clifford Frame Attention (CFA), an extension of the...
arxiv.org
January 5, 2025 at 4:28 PM
Generative flow matching model for highly designable proteins:
Simon Wagner & Leif Seute et al., Generating Highly Designable Proteins with Geometric Algebra Flow Matching, Neurips 2024
arxiv.org/abs/2411.05238
Simon Wagner & Leif Seute et al., Generating Highly Designable Proteins with Geometric Algebra Flow Matching, Neurips 2024
arxiv.org/abs/2411.05238