New AI Tool Models Protein Dynamics, Aiding Drug Discovery and Protein Research

Functional determinants of protein assembly into homomeric complexes

Approximately half of proteins with experimentally determined structures can interact with other copies of themselves and assemble into homomeric complexes, the overwhelming majority of which (>96%) are symmetric. Although homomerisation is often assumed to a functionally beneficial result of evolutionary selection, there has been little systematic analysis of the relationship between homomer structure and function. Here, utilizing the large num…

New AI tool models protein dynamics, aiding drug discovery and protein research

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that emulates the equilibrium behavior of proteins with unprecedented speed and accuracy.

Microsoft's New AI Tool To Help Advance Drug Discovery: Satya Nadella

Microsoft's new AI system BioEmu will help decode protein motion and help in faster discovery of drugs, said CEO Satya Nadella on Friday.

Advancements in protein structure prediction: A comparative overview of AlphaFold and its derivatives

This review provides a comprehensive analysis of AlphaFold (AF) and its derivatives (AF2 and AF3) in protein structure prediction. These tools have re…

Microsoft Launches New AI System BioEmu To Accelerate Drug Discovery By Simulating Protein Motion

Microsoft has introduced BioEmu, a new AI system that can simulate protein motion to help speed up drug discovery. Announced by CEO Satya Nadella, BioEmu can generate thousands of protein structures per hour using a single GPU. It gives scientists faster insights into how proteins behave, which is key to designing better medicines.

Protein Dynamics Predicted Rapidly with Generative AI Model, BioEmu

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein can adopt, modeling the structural ensembles that underlie protein function. The work, in a paper titled “Scalable emulation of protein equilibrium ensembles with generative deep learning,” was published in Science. Researchers developed BioEmu as a…