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POCKETSPPI

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Discovering and exploiting hidden pockets at protein protein interfaces

"Protein-protein interactions play critical roles in normal human physiology, as well as in numerous diseases such as cancers and neurodegenerative disorders. However, identifying small molecule drugs to block protein interactions... ver más

31/08/2015

UEDIN

100K€

Presupuesto del proyecto: 100K€

Líder del proyecto

THE UNIVERSITY OF EDINBURGH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2015-08-31 No tenemos la información de la convocatoria

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1 Participantes

UEDIN

0.00€ | Lider

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Líder del proyecto

THE UNIVERSITY OF EDINBURGH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 100K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto "Protein-protein interactions play critical roles in normal human physiology, as well as in numerous diseases such as cancers and neurodegenerative disorders. However, identifying small molecule drugs to block protein interactions is a very difficult task. One of the major difficulties is that often the proteins involved are extremely flexible and readily change shape, which greatly complicates efforts to find small molecule ligands of matching shape. In this project, we aim to exploit protein flexibility to create new opportunities for drug discovery. Interactions between a given pair of proteins commonly requires one or both partners to transiently form pockets that allow selective binding. Therefore, most protein interfaces likely possess many more binding pockets than those apparent in the static picture of a protein structure revealed by crystallographic experiments. We propose to identify these ""hidden"" pockets using computational methods. Thus, we will develop and validate molecular simulation methodologies to detect hidden pockets at protein interfaces and assess their small molecule ""druggability"" using docking calculations and binding site scoring functions. Such capacity would greatly strengthen the reliability of in silico drug design. We will perform virtual screens to find small molecule ligands binding to hidden pockets in medicinally important proteins such as FcgammaRIIA or PCNA. Finally, we will purchase or synthesize promising ligands and assay their activity against protein targets. These studies will allow us to test the utility of our computational approach in rational drug design. The objectives of this research are part of a broader program we are currently developing and whose purpose is to provide a comprehensive set of computational/biophysical methods to allow the widespread targeting of seemingly ""undruggable"" protein families with small molecules, thereby expanding the scope of modern molecular medicine."

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