Principal Component Analysis as a Tool for Library Design: A Case Study Investigating Natural Products, Brand-Name Drugs, Natural Product-Like Libraries, and Drug-Like Libraries
Principal component analysis (PCA) is a useful tool in the design and planning of chemical libraries. PCA can be used to reveal differences in structural and physicochemical parameters between various classes of compounds by displaying them in a convenient graphical format. Herein, we demonstrate the use of PCA to gain insight into structural features that differentiate natural products, synthetic drugs, natural product-like libraries, and drug-like libraries, and show how the results can be used to guide library design.
Key wordsPrincipal component analysis (PCA) Medium rings Macrocycles Ring expansion Natural products Drugs Libraries Diversity-oriented synthesis
We thank Tony D. Davis (MSKCC) for suggesting inclusion of the logD, van der Waals surface area, and relative polar surface area parameters, and for providing modifications of this protocol for Windows users. Instant JChem was generously provided by ChemAxon. Financial support from the NIH (P41 GM076267 to D.S.T., P41 GM076267-03S1 to R.A.B., T32 CA062948-Gudas to T.A.W.), Starr Foundation, Tri-Institutional Stem Cell Initiative, Alfred P. Sloan Foundation (Research Fellowship to D.S.T.), Deutscher Akademischer Austauschdienst (DAAD, postdoctoral fellowship to F.K.), William H. Goodwin and Alice Goodwin and the Commonwealth Foundation for Cancer Research, and the MSKCC Experimental Therapeutics Center is gratefully acknowledged.
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