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
In a new Science study, cryo–electron tomography captures the in-cell architecture of the mitochondrial respiratory chain, illuminating how the coordinated action of molecular machines drives life’s fundamental energy conversion.
Learn more in this week's issue: scim.ag/3FA3Ygq
Learn more in this week's issue: scim.ag/3FA3Ygq
March 20, 2025 at 6:05 PM
In a new Science study, cryo–electron tomography captures the in-cell architecture of the mitochondrial respiratory chain, illuminating how the coordinated action of molecular machines drives life’s fundamental energy conversion.
Learn more in this week's issue: scim.ag/3FA3Ygq
Learn more in this week's issue: scim.ag/3FA3Ygq
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
Reposted by Pablo Chacón
Muchas gracias por la invitación! En este número explicamos distintas áreas de la Biología donde la #IA ha transformado o está transformando nuestro entendimiento de la Biología.
📝Ya está publicado el último número de nuestra revista SEBBM de este 2024, dedicado a la inteligencia artificial en biociencias.
🌐https://s.mtrbio.com/txthyotmrf
🌐https://s.mtrbio.com/txthyotmrf
December 21, 2024 at 6:16 PM
Muchas gracias por la invitación! En este número explicamos distintas áreas de la Biología donde la #IA ha transformado o está transformando nuestro entendimiento de la Biología.