Drug design optimization methods

Nowadays a broad range of methods is available in the field of chemoinfor-matics. These methods will have a growing impact on drug design. In particular, the discovery of new lead structures and their optimization will profit by virtual saeening [17, 66, 100-103]. The huge amounts of data produced by HTS and combinatorial chemistry enforce the use of database and data mining techniques. 

The previous sections have described methods to obtain 2-pyridone scaffolds. Both in the construction of new materials and especially in drug design and development, there is a desire to be able to derivatize and optimize the lead structures. In the following sections, some recent developments using MAOS to effectively substitute and derivatize 2-pyridone heterocycles are described. The reaction types described range from electrophilic-, and nucleophilic reactions to transition metal-catalyzed transformations (Fig. 7). To get an overview of how these systems behave, their characteristics imder conventional heating is first described in brevity. 

The remainder of this chapter will discuss these five steps in drug optimization within the context of the multiphore method of drug design. 

The pharmaceutical industry has pioneered in the application of computer-assisted drug design methods in product research. To a significant degree this is a consequence of the direct use of computational chemistry in enhancing the efficiency of the chemical lead optimization process. 

The chemical structure of levofloxacin derivatives was optimized and calculated using molecular mechanics and quantum chemical methods (05MI33). A novel approach (TOMOCOMD-CARDD) to the computer-aided rational drug design method indicated that compound 158 (KRQ10099) was expected to be exhibited antibacterial activity (06JMM255). 

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