Odysseas Vavourakis
@odyv.bsky.social
Generative Antibody Design at Oxford | ovavourakis.github.io | 🇬🇧🇩🇪🇬🇷(🇪🇸) he/him
Reposted by Odysseas Vavourakis
Predicting protein conformational flexibility remains a major challenge in structural biology. While we can now accurately model static protein structures, understanding their dynamics is still difficult, largely due to a lack of suitable training data.
March 20, 2025 at 6:50 PM
Predicting protein conformational flexibility remains a major challenge in structural biology. While we can now accurately model static protein structures, understanding their dynamics is still difficult, largely due to a lack of suitable training data.
It’s an exciting time in protein design! 🧬✨ But much of the therapeutic potential—especially for antibodies—remains untapped. Why? 🤔
Antibodies seem like ideal candidates for design! 💉
Here’s a quick thread summarising our new review paper on the state of antibody structure prediction. 👇
1/
Antibodies seem like ideal candidates for design! 💉
Here’s a quick thread summarising our new review paper on the state of antibody structure prediction. 👇
1/
Challenges and compromises: Predicting unbound antibody structures with deep learning
Therapeutic antibodies are manufactured, stored and administered in the free state; this makes understanding the unbound form key to designing and imp…
www.sciencedirect.com
January 27, 2025 at 1:29 AM
It’s an exciting time in protein design! 🧬✨ But much of the therapeutic potential—especially for antibodies—remains untapped. Why? 🤔
Antibodies seem like ideal candidates for design! 💉
Here’s a quick thread summarising our new review paper on the state of antibody structure prediction. 👇
1/
Antibodies seem like ideal candidates for design! 💉
Here’s a quick thread summarising our new review paper on the state of antibody structure prediction. 👇
1/