Michele Invernizzi
@invemichele.bsky.social
Computational physicist at https://peptone.io
PhD @GroupParrinello, PostDoc @franknoe.bsky.social
Disordered Proteins, AI for Science, Molecular Dynamics, Enhanced Sampling
🔗 https://scholar.google.com/citations?user=fnJktPAAAAAJ
PhD @GroupParrinello, PostDoc @franknoe.bsky.social
Disordered Proteins, AI for Science, Molecular Dynamics, Enhanced Sampling
🔗 https://scholar.google.com/citations?user=fnJktPAAAAAJ
Thanks for sharing!
April 29, 2025 at 7:17 AM
Thanks for sharing!
Reposted by Michele Invernizzi
As a peek toward where we're headed:
Right now, CADD scientists are forced to use the same model week after week, even if new experimental data says the model is inaccurate.
If we can fine- models, we can exploit that data to systematically improve our predictions week by week!
Right now, CADD scientists are forced to use the same model week after week, even if new experimental data says the model is inaccurate.
If we can fine- models, we can exploit that data to systematically improve our predictions week by week!
February 19, 2025 at 7:36 PM
As a peek toward where we're headed:
Right now, CADD scientists are forced to use the same model week after week, even if new experimental data says the model is inaccurate.
If we can fine- models, we can exploit that data to systematically improve our predictions week by week!
Right now, CADD scientists are forced to use the same model week after week, even if new experimental data says the model is inaccurate.
If we can fine- models, we can exploit that data to systematically improve our predictions week by week!
It was a very interesting talk, looking forward for the preprint!
December 17, 2024 at 12:03 AM
It was a very interesting talk, looking forward for the preprint!