Virtual screening computational products

Numerous computational methods have been developed to predict aqueous solubility from molecular structure (Jorgensen and Duffy, 2002 Delaney, 2005). Many of them have an accuracy of 1 log unit. Commercial solubility software is widely available and some of these products estimate the solubility-pH profile for ionizable compounds. Software is most useful for virtual screening of large libraries, prioritization of compounds prior to synthesis and scoring of HTS hits (Oprea et al., 2005). Calculated values can be used to alert teams to potential solubility issues. 

The chapter begins with a discussion of similarity and diversity measures and how they can be applied in a virtual screening context. The various computational filters in use are also discussed. The rest of the chapter is concerned with different approaches to combinatorial library design, beginning with reagent-based methods followed by product-based approaches of cherry picking and combinatorial subset selection. Finally, approaches to designing libraries optimized on multiple properties simultaneously are discussed. 

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