Computational library design compound-based

In general, the described techniques provide an effective, flexible, and relatively fast solution for library design based on analysis of bioscreening data. The quantitative relationships, based on the assessment of contribution values of various molecular descriptors, not only permit the estimation of potential biological activity of candidate compounds before synthesis but also provide information concerning the modification of the structural features necessary for this activity. Usually these techniques are applied in the form of computational filters for constraining the size of virtual combinatorial libraries and... 

Schnur, D. (1999) Design and diversity analysis of large compound libraries using cell-based methods. J. Chem. Inf. Comput. Sci. 39, 36-45. 

A primary, or unbiased, library is a large set of compounds (t5q)ically thousands to millions) based on diversity and aimed at the discovery of samples of interest for targets for which little, if any, information is available. Diversity is a concept unrelated to the library size that attempts to evaluate the representation of chemical space by a chemical library using computational methods If this space is sampled evenly by the components of a library, then this library is considered to be diversity based (Fig. 4.1, left). A focused, or biased, library is a similarity-based set of compounds (typically hundreds to thousands) aimed at the discovery and optimization of lead structures for a target for which a structural model on which to design the hbrary is available. Similarity is a concept unrelated to the library size that is opposite to diversity if the library components are clustered around the model structure A, the library is similarity based (see Fig. 4.1, right). 

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