Structure-based design methods commonly used in medicinal chemistry rely on a three-dimensional representation of the receptor. However, few crystal structures are solved in comparison with the huge number of pharmaceutical targets. This often renders homology models the only information available. It is particularly true for G protein-coupled receptors (GPCRs), one of the most important targets for approved medicines and current drug discovery projects. However, very few studies have tested their validity in comparison with corresponding crystal structures, especially in a lead optimization perspective. The recent solving of dopamine D3 receptor crystal structure allowed us to assess our historical homology model. We performed a statistical analysis, by docking our in-house lead optimization library of 1500 molecules. We demonstrate here that the refined homology model suits at least as well as the X-ray structure. It is concluded that when the crystal structure of a given GPCR is not available, homology modeling can be an excellent surrogate to support drug discovery efforts.KEYWORDS: Dopamine D3 receptor, G protein-coupled receptors, docking, homology model, lead optimization S tructure-based design (SBD) uses the information brought by a receptor three-dimensional (3D) model to help the discovery and optimization of ligands. The protein 3D representation gives insights into the shape and electrostatics of the binding site, as well as the nature of its constitutive amino acids. Indeed, it gives insights into the possible interactions that ligands could form. SBD is widely used in medicinal chemistry at different stages of the drug discovery process. In the earliest, SBD can be instrumental in selecting new hits from a large library, thus reducing the size of the compounds to be experimentally tested (hit finding). Many examples in the literature report the success of virtual screening studies.1,2 SBD has also proved very useful in the following step of lead optimization, notably as a tool to understand and rationalize the structure-activity relationships.
3This approach commonly starts from a reliable crystal structure of the target receptor. However, in comparison with the huge number of proteins of pharmaceutical interest, the number of available crystal structures is limited. This is particularly true for G protein-coupled receptors (GPCRs), the most important class of drug targets whose ligands represent about 50% of the currently marketed drugs. 4 To compensate for the scarcity of crystal structures, molecular models of target proteins are often built based on a close structural neighbor (comparative/homology modeling). For GPCRs, bovine rhodopsin has long been the sole experimental structure available. So, a myriad of homology models (HMs) deriving from the breakthrough of Palczewski's work 5 were built and used in virtual screening experiments.