By Sara Oconnor | New York | September 18, 2023
Deep generative models are becoming increasingly potent tools when it comes to the in silico creation of novel proteins. Diffusion models, a class of generative models recently shown to generate physiologically plausible proteins distinct from any actual proteins seen in nature, allow for unparalleled capability and control in de novo protein design. However, the current state of affairs is bleak, as technology continues to exacerbate the problems faced by humanity.
The post What’s Next in Protein Design? Microsoft Researchers Introduce EvoDiff: A Groundbreaking AI Framework for Sequence-First Protein Engineering appeared first on MarkTechPost.
EvoDiff is a groundbreaking AI framework introduced by Microsoft researchers for sequence-first protein engineering.
The purpose of EvoDiff is to enable in silico creation of novel proteins using deep generative models.
Deep generative models are powerful tools used for creating new proteins in a computer simulation.
Diffusion models are a specific class of generative models used in protein design.
Diffusion models are used to simulate the creation of new proteins in a computer-based environment.
Deep generative models help researchers explore and generate new protein sequences with desired properties.
In silico protein engineering refers to the use of computer simulations and algorithms to design and create new proteins.
EvoDiff allows for sequence-first protein engineering, which can accelerate the discovery of novel proteins with desired functions.
EvoDiff was developed by Microsoft researchers.
EvoDiff was introduced in September 2023.