Literature DB >> 25618349

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.

Todd A Wenderski1, Christopher F Stratton, Renato A Bauer, Felix Kopp, Derek S Tan.   

Abstract

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.

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Year:  2015        PMID: 25618349      PMCID: PMC4373534          DOI: 10.1007/978-1-4939-2269-7_18

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  16 in total

1.  Estimation of aqueous solubility of chemical compounds using E-state indices.

Authors:  I V Tetko; V Y Tanchuk; T N Kasheva; A E Villa
Journal:  J Chem Inf Comput Sci       Date:  2001 Nov-Dec

Review 2.  Cheminformatics approaches to analyze diversity in compound screening libraries.

Authors:  Lakshmi B Akella; David DeCaprio
Journal:  Curr Opin Chem Biol       Date:  2010-04-22       Impact factor: 8.822

Review 3.  How many drug targets are there?

Authors:  John P Overington; Bissan Al-Lazikani; Andrew L Hopkins
Journal:  Nat Rev Drug Discov       Date:  2006-12       Impact factor: 84.694

4.  The tubulin-bound conformation of discodermolide derived by NMR studies in solution supports a common pharmacophore model for epothilone and discodermolide.

Authors:  Víctor M Sánchez-Pedregal; Karel Kubicek; Jens Meiler; Isabelle Lyothier; Ian Paterson; Teresa Carlomagno
Journal:  Angew Chem Int Ed Engl       Date:  2006-11-13       Impact factor: 15.336

Review 5.  Natural products as sources of new drugs over the 30 years from 1981 to 2010.

Authors:  David J Newman; Gordon M Cragg
Journal:  J Nat Prod       Date:  2012-02-08       Impact factor: 4.050

6.  Testing the conformational hypothesis of passive membrane permeability using synthetic cyclic peptide diastereomers.

Authors:  Taha Rezai; Bin Yu; Glenn L Millhauser; Matthew P Jacobson; R Scott Lokey
Journal:  J Am Chem Soc       Date:  2006-03-01       Impact factor: 15.419

7.  Lowering the entropic barrier for binding conformationally flexible inhibitors to enzymes.

Authors:  A R Khan; J C Parrish; M E Fraser; W W Smith; P A Bartlett; M N James
Journal:  Biochemistry       Date:  1998-12-01       Impact factor: 3.162

8.  The bound conformation of microtubule-stabilizing agents: NMR insights into the bioactive 3D structure of discodermolide and dictyostatin.

Authors:  Angeles Canales; Ruth Matesanz; Nicola M Gardner; José Manuel Andreu; Ian Paterson; J Fernando Díaz; Jesús Jiménez-Barbero
Journal:  Chemistry       Date:  2008       Impact factor: 5.236

9.  Escape from flatland: increasing saturation as an approach to improving clinical success.

Authors:  Frank Lovering; Jack Bikker; Christine Humblet
Journal:  J Med Chem       Date:  2009-11-12       Impact factor: 7.446

10.  A diversity-oriented synthesis approach to macrocycles via oxidative ring expansion.

Authors:  Felix Kopp; Christopher F Stratton; Lakshmi B Akella; Derek S Tan
Journal:  Nat Chem Biol       Date:  2012-03-11       Impact factor: 15.040

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  12 in total

1.  Differentiation and classification of RNA motifs using small molecule-based pattern recognition.

Authors:  Giacomo Padroni; Christopher S Eubanks; Amanda E Hargrove
Journal:  Methods Enzymol       Date:  2019-06-13       Impact factor: 1.600

2.  Driving factors in amiloride recognition of HIV RNA targets.

Authors:  Neeraj N Patwardhan; Zhengguo Cai; Aline Umuhire Juru; Amanda E Hargrove
Journal:  Org Biomol Chem       Date:  2019-10-30       Impact factor: 3.876

3.  Small Molecule-Based Pattern Recognition To Classify RNA Structure.

Authors:  Christopher S Eubanks; Jordan E Forte; Gary J Kapral; Amanda E Hargrove
Journal:  J Am Chem Soc       Date:  2016-12-22       Impact factor: 15.419

4.  Discovery of Key Physicochemical, Structural, and Spatial Properties of RNA-Targeted Bioactive Ligands.

Authors:  Brittany S Morgan; Jordan E Forte; Rebecca N Culver; Yuqi Zhang; Amanda E Hargrove
Journal:  Angew Chem Int Ed Engl       Date:  2017-09-18       Impact factor: 15.336

5.  Prioritizing pharmacokinetic drug interaction precipitants in natural products: application to OATP inhibitors in grapefruit juice.

Authors:  Emily J Johnson; Christina S Won; Kathleen Köck; Mary F Paine
Journal:  Biopharm Drug Dispos       Date:  2017-02-14       Impact factor: 1.627

6.  Cheminformatic comparison of approved drugs from natural product versus synthetic origins.

Authors:  Christopher F Stratton; David J Newman; Derek S Tan
Journal:  Bioorg Med Chem Lett       Date:  2015-07-14       Impact factor: 2.823

7.  Amiloride as a new RNA-binding scaffold with activity against HIV-1 TAR.

Authors:  Neeraj N Patwardhan; Laura R Ganser; Gary J Kapral; Christopher S Eubanks; Janghyun Lee; Bharathwaj Sathyamoorthy; Hashim M Al-Hashimi; Amanda E Hargrove
Journal:  Medchemcomm       Date:  2017-03-15       Impact factor: 3.597

Review 8.  Cheminformatic analysis of natural product-based drugs and chemical probes.

Authors:  Samantha Stone; David J Newman; Steven L Colletti; Derek S Tan
Journal:  Nat Prod Rep       Date:  2022-01-26       Impact factor: 13.423

9.  Rapid Deorphanization of Human Olfactory Receptors in Yeast.

Authors:  Emily A Yasi; Sara L Eisen; Hanfei Wang; Widianti Sugianto; Anita R Minniefield; Kaitlyn A Hoover; Paul J Branham; Pamela Peralta-Yahya
Journal:  Biochemistry       Date:  2019-04-12       Impact factor: 3.162

10.  General platform for systematic quantitative evaluation of small-molecule permeability in bacteria.

Authors:  Tony D Davis; Christopher J Gerry; Derek S Tan
Journal:  ACS Chem Biol       Date:  2014-09-08       Impact factor: 5.100

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