Summary of responses for QSAR question.



 Dear Netters,
 When I put a question to the next, I promised that I would post a summary
 of the responses that I recieved.  Therefore, as promised, I have included
 the list below
 I tried to make a point of replying to everyone who responded, thanking them
 for the references.  However, in case I missed off anyone, then I would just
 like to say thank you now.
 Adrian Stevens,
 University of Portsmouth.
 PS I hope that everyone has a very happy Xmas/Festivity/Holiday/Whatever!
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 Q.S.A.R. Responses...
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 From:	CBS%UK.AC.NSFNET-RELAY::IT.IRBM::KOEHLER  2-DEC-1994 12:54:16.12
 To:	stevensa
 CC:
 Subj:	QSAR Response
 Dear Adrian:
    For QSAR's of enzymes, the following would seem a particularly appropriate
 and recent reference:
 Nomizu, M.; Iwaki, T.; Yamashita, T.; Inagaki, Y.; Asano, K.; Akamatsu, M.;
 Fujita, T. Quantitative structure-activity relationship (QSAR) study of
 elastase substrates and inhibitors.  Int. J. Pept. Protein. Res.   1993, 42,
 216-226.
 Abstract:  One hundred Suc-X-Y-Ala-pNA peptides: (Suc: succinyl, pNA:
 p-nitroanilide, X, Y: Gly, Ala, Val, Leu, Ile, Phe, Pro, alpha-aminobutyric
 acid, norvaline, norleucine) were synthesized and their reaction constants with
 porcine pancreatic elastase (Km, kcat and kcat/Km) were determined. These
 reaction constants were quantitatively analyzed using the Free-Wilson/Fujita-
 Ban method. The contribution of amino acid side chains to the reaction
 constants Km, kcat and kcat/Km, expressed logarithmically, was found to be
 additive. On the other hand, 19 elastase inhibitors of the general formula
 CF3CO-X-Y-Ala-pNA (X,Y: ten amino acids) were synthesized, and their inhibition
 constants were compared with the Michaelis constant for the corresponding
 substrates and analyzed using free-energy-related substituent constants. In the
 analysis of amino acid side chains in the Y position, the Ki value of the
 inhibitor was generally correlated to the Km value of the substrate, which
 corresponded to the inhibitor, thus confirming the validity of the equation.
 log(1/Ki) = 1.271 log(1/Km) + 4.831 This study may serve as a prototypical
 approach to unraveling structure-activity relationships of peptide substrates
 and inhibitors of medicinal or agricultural importance.
    If you are interested in 3D-QSAR and enzymes, check the following
 references out:
 (1) DePriest, S. A.; Mayer, D.; Naylor, C. B.; Marshall, G. R. 3D-QSAR of
     angiotensin-converting enzyme and thermolysin inhibitors:  a comparison of
     CoMFA models based on deduced and experimentally determined active site
     geometries. J. Am. Chem. Soc.   1993, 115, 5372-84.
 (2) Motoc, I.; Sit, S. Y.; Harte, W. E.; Balasubramanian, N.; Wright, J. J.
     3-Hydroxy-3-methylglutaryl-Coenzyme A Reductase: Molecular Modeling,
     Three-Dimensional structure-activity relationships, inhibitor design.  QSAR
     1991, 10, 30.
 (3) Sit, S. Y.; Parker, R. A.; Motoc, I.; Han, W.; Balasubramanian, N.; Catt, J.
     D.; Brown, P. J.; Harte, W. E.; Thompson, M. D.; Wright, J. J. Synthesis,
     biological profile, and quantitative structure-activity relationship of a
     series of novel 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors.
     J. Med. Chem.   1990, 33, 2982-99.
 (4) Waller, C. L.; McKinney, J. D. Comparative molecular field analysis of
     polyhalogenated dibenzo-p-dioxins, dibenzofurans, and biphenyls.  J. Med.
     Chem. 1992, 35, 3660-6.
 (5) Waller, C. L.; Marshall, G. R. Three-dimensional quantitative
     structure-activity relationship of angiotensin-converting enzyme and
     thermolysin inhibitors.  II.  A Comparison of CoMFA models incorporating
     molecular orbital fields and desolvation free energies based on
     active-analog and complementry-receptor-field alignment rules.  J. Med.
     Chem. 1993, 36, 2390-2403.
 (6) Waller, C. L.; Oprea, T. I.; Giolitti, A.; Marshall, G. R. Three-dimensional
     QSAR of human immunodeficiency virus (I) protease inhibitors.  1.  A CoMFA
     study employing experimentally-determined alignment rules.  J. Med. Chem.
     1993, 36, 4152-4160.
     Ciao,
  ------------------------------------------------------------------
 | Konrad Koehler              |  Computational Chemistry Group     |
 | internet:  koehler' at \`irbm.it  |  Department of Medicinal Chemistry |
 |                             |  IRBM                              |
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 | fax:       +39-6-910-93225  |  00040 Pomezia (Roma)              |
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 From:	CBS%UK.AC.NSFNET-RELAY::GOV.EPA.HERL.THOR::WALLER  2-DEC-1994 13:20:23.68
 To:	STEVENSA
 CC:
 Subj:	Re: CCL:Introductory Q.S.A.R. References.?
 As a graduate student I found Yvonne Martin's Quantitative Drug
 Design (Marcel Dekker, New York) an extremely useful introductory
 text.
 ********************************************************************
 *Chris L. Waller, Ph.D.                          PHONE 919-541-7976*
 *Research Chemist                                FAX   919-541-5394*
 *waller' at \`thor.herl.epa.gov                                          *
 *Pharmacokinetics Branch (MD-74)                                   *
 *ETD/HERL/USEPA                                                    *
 *Research Triangle Park, NC 27711                                  *
 *                                                                  *
 *Disclaimer: Mention of trade names or products does not constitute*
 *endorsement by the United States Environmental Protection Agency. *
 ********************************************************************
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 From:	CBS%UK.AC.NSFNET-RELAY::EDU.CWRU.CHEM.CWGK::FERCU  2-DEC-1994 13:30:06.08
 To:	STEVENSA
 CC:
 Subj:	QSAR Response
 Dear Adrian,
 The most recent book I know of is "QSAR: Hansch analysis and related
 approaches" by Hugo Kubinyi (VCH: Weinheim, 1993, 240p). It has a good
 review
 on the most used QSAR parameters. Besides the well known Hansch analysis, other
 models are described, such as Free Wilson, pattern recognition techniques,
 3D QSAR models (CoMFA). Almost half of the book is dedicated to applications.
 Over 1000 references.
 A reduced version of this book can be found in the new edition of "Burger's
 Medicinal Chemistry and Drug Discovery" (Wolff, M. E., Ed., Wiley: New
 York,
 Vol.1, 5th ed., 1994).
 Regards,
 Dan Fercu
 Dan Fercu
 Computational Chemist
 Department of Chemistry
 Case Western Reserve University
 fercu' at \`cwgk.chem.cwru.edu
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 From:	CBS%UK.AC.NSFNET-RELAY::COM.ABBOTT.RANDB::CMDA::MARTIN  2-DEC-1994
 14:37:14.81
 To:	STEVENSA
 CC:
 Subj:	Re: CCL:Introductory Q.S.A.R. References.?
 The classic book, now out of print but maybe available in your library,
 is mine: "Quantitative Drug Design", published by Marcel Dekker.
 There is also a nice introduction in Comprehensive Medicinal Chemistry,
 Vol 4, edited by Hansch, Sammes, & Taylor. Pergamon.
 Methods in Enzymology vol 203 edited by Langone also has several
 interesting chapters.
 Finally, there is the interesting book edited by Kubinyi "3D QSAR
 in Drug Design". ESCOM, 1994.
 Yvonne Martin
 Abbott Laboratories
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 From:	CBS%UK.AC.NSFNET-RELAY::UK.CO.OXMOL::SCOFFIN  5-DEC-1994 08:32:30.54
 To:	STEVENSA
 CC:
 Subj:	QSAR Response...
 Adrian,
 There are a number of good introductory level texts, depending on
 what you are looking for; i.e. Hansch Analysis or 3D-QSAR.  For the latter
 I would try '3D QSAR in Drug Design'; H.Kubinyi, ESCOM, 1994.
 There are good books by Yvonne Martin, Reiner Franke, Han van de Waterbeemd
 and Mike Tute on various aspects of 2D and 3D QSAR, I can find more
 specific references if that will help...
 Good luck in your search,
 Rob Scoffin
 ===========
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 QSAR Product Manager  |  ##   ##   ##  |
 Oxford Molecular Ltd  |   ##  ##  ##   |
 The Magdalen Centre   |    ## ## ##    |
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 Mobile: (0378) 210813  ----------------
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 From:	CBS%UK.AC.NSFNET-RELAY::ORG.ACS::BEP96  5-DEC-1994 14:25:59.89
 To:	stevensa
 CC:
 Subj:	QSAR Response
 Your message was forwarded to me by Nan Butterworth.  The following book will
 be available later this month.  Please note that volume I is designed to
 introduce the reader to QSAR.  If you have any specific questions please do
 not hestitate to email me at bep96' at \`acs.org.
 Barbara Pralle
 Acquisitions Editor
 TWO VOLUME SET
 "BOOK TITLE (Vol. 1):"	Exploring QSAR
 "SUBTITLE:"		Fundamentals and Applications in Chemistry and Biology
 AUTHORS(S):		Corwin Hansch and Albert Leo
 "BOOK TITLE (Vol. 2):"	Exploring QSAR
 "SUBTITLE:"		Hydrophobic, Electronic, and Steric Constants
 AUTHORS(S):		Corwin Hansch, Albert Leo, David Hoekman
 ISBN: 0-8412-2993-7
 PRICE: $99.95
 PUBLICATION DATE: December 1994
 SIZE: 7 X 10 inches (Vol. 1) 8 1/2 X 11 inces (Vol. 2)
 BINDING: Clothbound (Vol. 1) Clothbound (Vol. 2)
 ESTIMATED PAGES: 900
 AUDIENCE/LEVEL:
 Medicinal chemists, agrochemical chemists, toxicologists, environmental
 scientists, computational chemists, pharmaceutical scientists, scientists
 involved in computer-assisted drug discovery, bioorganic chemists, pesticide
 chemists and formulators, analytical chemists working with partition
 coefficient measurements.
 HIGHLIGHTS:
 Investigates the interaction of organic compounds with various forms of life
 including macromolecules, enzymes, organelles, etc.
 Introduces the Hammett equation and its applications.
 Discusses the design of bioactive compounds.
 Includes extensive tables of approximately 17,000 partition coefficients from
 octanol/water as well as a comprehensive listing of electronic and steric
 parameters used in the design and study of bioactive organic compounds.
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