SOURCE-LINKED INTELLIGENCE

Integrative, AI-aided Inference of Protein Structure and Dynamics

CORDIS · observation · Publication date unknown

Integrative, AI-aided Inference of Protein Structure and Dynamics The life sciences community is living in exciting times. During the past year, Artificial Intelligence (AI), and in particular AlphaFold2, has contributed to advancing our understanding of protein behaviour by enabling structure prediction with accuracy comparable to many experimental techniques at a fraction of their time and costs. However, structures are only a piece of the puzzle. To understand the mechanisms underlying biological functions, we need to characterize the conformational landscape of proteins, the population of relevant states, and their pathways of interconversion. Furthermore, we need to determine the effect of the environment in modulating structures, populations, and pathways, as biological systems perform their functions in the complexity of cells rather than in the isolation of test tubes. None of these objectives can be achieved by AI structure-prediction methods alone. In this proposal we will leverage the PIs expertise in the field of inte

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

2932775

unit

EUR