Abstract
The number of gene products that can be regulated by drugs, the druggable genome, is estimated in 3051. However, the drugs already in market target only 266 gene products. With the rapid advances in structural biology it is attractive to use this structural information for the development of new chemical probes looking for biological function modulation. Two challenges in this context are the correct selection of compounds able to interact with a biological macromolecule and the evaluation of the affinity for this receptor-ligand complex. In this project we propose the development of a computational tool combining the strategies based on receptor structures with those based on the bioactive ligand structure for the proposition of new candidate ligands. The same tool is also used for the generation of ensembles for the binding free energy evaluation. This model will be applied for a model system (T4 lysozyme), as well as for nuclear receptors involved in human metabolism regulation. (AU)
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