In drug discovery, it is common to have measured activity data for a set of compounds acting upon a particular protein but not to have knowledge of the three-dimensional structure of the protein active site. In the absence of such three-dimensional information, one can attempt to build a hypothetical model of the receptor site that can provide insight about receptor site characteristics. Such a model is known as a comparative receptor surface analysis (CoRSA) model, which provides compact and quantitative descriptors which capture three-dimensional information about a putative receptor site. The quantitative structure-activity relationship (QSAR) of a set of 20 antagonists for octopamine (OA) receptor 3 in locust nervous tissue, was analyzed using CoRSA. Three-dimensional energetics descriptors were calculated from receptor surface model (RSM)-ligand interaction and these three-dimensional descriptors were used in QSAR analysis. The predictive character of the QSAR was further assessed using 24 agonists for OA receptor as test molecules. An RSM was generated using some subset of the most active structures and the results provided useful information in the characterization and differentiation of OA receptor.
|Number of pages||10|
|Journal||Computational Biology and Chemistry|
|Publication status||Published - Dec 2003|
All Science Journal Classification (ASJC) codes
- Structural Biology
- Organic Chemistry
- Computational Mathematics