ALLOstery in Drug DiscoveryThe ALLODD project is a collaboration between 13 academic and industrial organizations with 14 ESR/PhD positions available. The aim of ALLODD is to train a new generation of scientists to exploit the concept of allostery in drug design, putting together a whole array of technologies to identify and characterize allosteric modulators of protein function that will be applied to therapeutically relevant systems.
Most current drugs are designed to bind directly to the primary active sites (also known as orthosteric sites) of their biological targets. Allosteric modulators offer a powerful yet underexploited therapeutic approach. They can elicit a richer variety of biological responses and, since they target less conserved binding sites, higher selectivity and less adverse effects may be obtained (Changeux, Drug Disc Today 2013).
The ALLODD project aims to train a new generation of scientists in exploiting the concept of allostery in drug design, putting together a whole array of technologies to identify and characterize allosteric modulators of protein function that will be applied to therapeutically relevant systems.
Our approach is based on a combination of experimental and simulation techniques, including fragment Screening with structural characterization (X-ray, NMR, H/D exchange), proteomics (MS/MS), ITC, DNA encoding libraries, Virtual Screening, Molecular Dynamics simulations-based methods, Synthetic Chemistry, and in vitro and cellular assays for the verification of results.
Allosteric targeting need not be achieved solely through the design of synthetic small molecules, but also can also be reached via conformationally specific allosteric antibodies, which represents an important field of future research. There are already clear examples of monoclonal antibodies that allosterically target ion channels (Lee et al., 2014b), GPCRs (Mukund et al., 2013), and RTKs (De Smet et al., 2014), as well as cytokine and integrin receptors (Rizk et al., 2015; Schwarz et al., 2006).
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Grant agreement ID: 956314 |
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This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 956314.
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