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De novo design of modulators for protein-nucleic acid interactions

CORDIS · observation · Publication date unknown

rders and cancer. However, targeting NA-binding proteins with small molecules is difficult due to the “undruggable” nature of their interfaces. Recent advancements in computational protein design and deep learning have created new opportunities for the development of protein-based therapeutics. However, current methods struggle to design proteins that can effectively modulate or mimic the intricate protein-NA interactions directly. While some NA-aware models have been developed, they often underperform due to our limited understanding of protein-NA interactions and the scarcity of diverse structural training data. To overcome these challenges, I propose to pioneer the design of NA-mimicking proteins (NAMPs) capable of directly modulating protein-NA interactions with high specificity and adaptable functionality. I will develop computational methods that incorporate the structural and chemical features of NAs, and create NAMPs tailored to engage therapeutically relevant NA-binding proteins and regulate their activity. In addition, I will develop approaches to expand the structural data

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recordType

award

status

SIGNED

region

EU

value

1524383

unit

EUR