Following a simple introduction to drug discovery research, this chapter presents some mathematical formulations and approaches to problems involved in chemical database analysis that might interest mathematical/physical scientists. With continued advances in structure determination, genomics, and high-throughput screening and related (more focused) techniques, in silico drug design is playing an important role as never before. Thus, traditional structure-directed library design methods in combination with newer approaches like fragment-based drug design [496, 1447], virtual screening [453, 1179], and system-scale approaches to drug design [236, 278, 649] will form important areas of research.
CITATION STYLE
Schlick, T. (2010). Similarity and Diversity in Chemical Design. In Interdisciplinary Applied Mathematics (Vol. 21, pp. 519–553). Springer Nature. https://doi.org/10.1007/978-1-4419-6351-2_15
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