Kyle Tretina
@allthingsapx.bsky.social
Product Marketing Lead @NVIDIA
| PhD @UMBaltimore | omics, immuno/micro, AI/ML | 🇺🇸🇸🇰 |
Posts are my own views, not those of my employer.
| PhD @UMBaltimore | omics, immuno/micro, AI/ML | 🇺🇸🇸🇰 |
Posts are my own views, not those of my employer.
Preprint:
Highly efficient protein structure prediction on NVIDIA RTX Blackwell and Grace-Hopper
nvda.ws/4n4xzz9
Visit the NVIDIA Digital Biology Labs website to find more information like this:
t.co/R9ufEZrGEA
Highly efficient protein structure prediction on NVIDIA RTX Blackwell and Grace-Hopper
nvda.ws/4n4xzz9
Visit the NVIDIA Digital Biology Labs website to find more information like this:
t.co/R9ufEZrGEA
nvda.ws
September 16, 2025 at 1:59 PM
Preprint:
Highly efficient protein structure prediction on NVIDIA RTX Blackwell and Grace-Hopper
nvda.ws/4n4xzz9
Visit the NVIDIA Digital Biology Labs website to find more information like this:
t.co/R9ufEZrGEA
Highly efficient protein structure prediction on NVIDIA RTX Blackwell and Grace-Hopper
nvda.ws/4n4xzz9
Visit the NVIDIA Digital Biology Labs website to find more information like this:
t.co/R9ufEZrGEA
It looks like each per‑residue latent captures almost exclusively local information
When the authors perturb the latent of a single residue, only that residue’s reconstruction quality changes, while others stay intact
When the authors perturb the latent of a single residue, only that residue’s reconstruction quality changes, while others stay intact
July 15, 2025 at 6:26 PM
It looks like each per‑residue latent captures almost exclusively local information
When the authors perturb the latent of a single residue, only that residue’s reconstruction quality changes, while others stay intact
When the authors perturb the latent of a single residue, only that residue’s reconstruction quality changes, while others stay intact
La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching
arxiv.org
July 15, 2025 at 6:26 PM
To learn more about the impact of MMseqs2-GPU and test it out (for free), here's a blog I wrote:
developer.nvidia.com/blog/acceler...
developer.nvidia.com/blog/acceler...
Accelerated Sequence Alignment for Protein Science with MMseqs2-GPU and NVIDIA NIM | NVIDIA Technical Blog
Protein sequence alignment—comparing protein sequences for similarities—is fundamental to modern biology and medicine. It illuminates gene functions by reconstructing evolutionary relationships…
developer.nvidia.com
June 13, 2025 at 2:04 PM
To learn more about the impact of MMseqs2-GPU and test it out (for free), here's a blog I wrote:
developer.nvidia.com/blog/acceler...
developer.nvidia.com/blog/acceler...
Please add me to this starter pack. I'd appreciate it!
December 3, 2024 at 2:13 PM
Please add me to this starter pack. I'd appreciate it!
Please add me to this starter pack. I'd appreciate it.
December 3, 2024 at 2:07 PM
Please add me to this starter pack. I'd appreciate it.
Please add me to this starter pack. I'd appreciate it.
December 3, 2024 at 2:07 PM
Please add me to this starter pack. I'd appreciate it.
Please add me to this starter pack. I'd appreciate it.
December 3, 2024 at 2:06 PM
Please add me to this starter pack. I'd appreciate it.