@inbook{0e8b355316254fe79c37722afbec4c03,
title = "Similarity and Diversity in Chemical Design",
abstract = "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.",
keywords = "Chemical Descriptor, Chemical Library, Distance Geometry, Drug Design, Singular Value Decomposition",
author = "Tamar Schlick",
note = "Publisher Copyright: {\textcopyright} 2010, Springer Science+Business Media, LLC.",
year = "2010",
doi = "10.1007/978-1-4419-6351-2_15",
language = "English (US)",
series = "Interdisciplinary Applied Mathematics",
publisher = "Springer Nature",
pages = "519--553",
booktitle = "Interdisciplinary Applied Mathematics",
address = "United States",
}