Literature DB >> 2851035

A unique geometry of the active site of angiotensin-converting enzyme consistent with structure-activity studies.

D Mayer1, C B Naylor, I Motoc, G R Marshall.   

Abstract

Previous structure-activity studies of captopril and related active angiotensin-converting enzyme (ACE) inhibitors have led to the conclusion that the basic structural requirements for inhibition of ACE involve (a) a terminal carboxyl group; (b) an amido carbonyl group; and (c) different types of effective zinc (Zn) ligand functional groups. Such structural requirements common to a set of compounds acting at the same receptor have been used to define a pharmacophoric pattern of atoms or groups of atoms mutually oriented in space that is necessary for ACE inhibition from a stereochemical point of view. A unique pharmacophore model (within the resolution of approximately 0.15 A) was observed using a method for systematic search of the conformational hyperspace available to the 28 structurally different molecules under study. The method does not assume a common molecular framework, and, therefore, allows comparison of different compounds that is independent of their absolute orientation. Consequently, by placing the carboxyl binding group, the binding site for amido carbonyl, and the Zn atom site in positions determined by ideal binding geometry with the inhibitors' functional groups, it was possible to clearly specify a geometry for the active site of ACE.

Entities:  

Mesh:

Substances:

Year:  1987        PMID: 2851035     DOI: 10.1007/bf01680553

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  27 in total

1.  Angiotensin-converting enzyme inhibitors from the venom of Bothrops jararaca. Isolation, elucidation of structure, and synthesis.

Authors:  M A Ondetti; N J Williams; E F Sabo; J Pluscec; E R Weaver; O Kocy
Journal:  Biochemistry       Date:  1971-10-26       Impact factor: 3.162

Review 2.  Inhibitors of angiotensin-converting enzyme.

Authors:  D W Cushman; M A Ondetti
Journal:  Prog Med Chem       Date:  1980

3.  Dipeptide mimics. Conformationally restricted inhibitors of angiotensin-converting enzyme.

Authors:  E D Thorsett; E E Harris; S Aster; E R Peterson; D Taub; A A Patchett; E H Ulm; T C Vassil
Journal:  Biochem Biophys Res Commun       Date:  1983-02-28       Impact factor: 3.575

4.  The conformation of thermolysin.

Authors:  B W Matthews; L H Weaver; W R Kester
Journal:  J Biol Chem       Date:  1974-12-25       Impact factor: 5.157

5.  Angiotensin-converting enzyme inhibitors: synthesis and biological activity of acyl tripeptide analogues of enalapril.

Authors:  W J Greenlee; P L Allibone; D S Perlow; A A Patchett; E H Ulm; T C Vassil
Journal:  J Med Chem       Date:  1985-04       Impact factor: 7.446

6.  Inhibition of angiotensin converting enzyme by phosphoramidates and polyphosphates.

Authors:  R E Galardy
Journal:  Biochemistry       Date:  1982-11-09       Impact factor: 3.162

7.  Design of specific inhibitors of angiotensin-converting enzyme: new class of orally active antihypertensive agents.

Authors:  M A Ondetti; B Rubin; D W Cushman
Journal:  Science       Date:  1977-04-22       Impact factor: 47.728

8.  Angiotensin-converting enzyme inhibitors: importance of the amide carbonyl of mercaptoacyl amino acids for hydrogen bonding to the enzyme.

Authors:  M E Condon; E W Petrillo; D E Ryono; J A Reid; R Neubeck; M Puar; J E Heikes; E F Sabo; K A Losee; D W Cushman; M A Ondetti
Journal:  J Med Chem       Date:  1982-03       Impact factor: 7.446

9.  N alpha-(diphenoxyphosphoryl)-L-alanyl-L-proline, N alpha-[bis (4-nitrophenoxy)phosphoryl]-L-alanyl-L-proline, and N alpha-[ (2-phenylethyl)phenoxyphosphoryl]-L-alanyl-L-proline: releasers of potent inhibitors of angiotensin converting enzyme at physiological pH and temperature.

Authors:  R E Galardy; D Grobelny
Journal:  J Med Chem       Date:  1985-10       Impact factor: 7.446

10.  Angiotensin converting enzyme inhibitors: 1-glutarylindoline-2-carboxylic acids derivatives.

Authors:  N Gruenfeld; J L Stanton; A M Yuan; F H Ebetino; L J Browne; C Gude; C F Huebner
Journal:  J Med Chem       Date:  1983-09       Impact factor: 7.446

View more
  26 in total

1.  A molecular-field-based similarity study of non-nucleoside HIV-1 reverse transcriptase inhibitors. 2. The relationship between alignment solutions obtained from conformationally rigid and flexible matching.

Authors:  J Mestres; D C Rohrer; G M Maggiora
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

2.  An extensive ecdysteroid CoMFA.

Authors:  L Dinan; R E Hormann; T Fujimoto
Journal:  J Comput Aided Mol Des       Date:  1999-03       Impact factor: 3.686

3.  Strategies for the determination of pharmacophoric 3D database queries.

Authors:  J H Van Drie
Journal:  J Comput Aided Mol Des       Date:  1997-01       Impact factor: 3.686

4.  Pharmacophore identification by molecular modeling and chemometrics: the case of HMG-CoA reductase inhibitors.

Authors:  U Cosentino; G Moro; D Pitea; S Scolastico; R Todeschini; C Scolastico
Journal:  J Comput Aided Mol Des       Date:  1992-02       Impact factor: 3.686

Review 5.  Pharmacophore-based discovery of ligands for drug transporters.

Authors:  Cheng Chang; Sean Ekins; Praveen Bahadduri; Peter W Swaan
Journal:  Adv Drug Deliv Rev       Date:  2006-09-26       Impact factor: 15.470

6.  Validated ligand mapping of ACE active site.

Authors:  Daniel J Kuster; Garland R Marshall
Journal:  J Comput Aided Mol Des       Date:  2005-11-24       Impact factor: 3.686

7.  Do active site conformations of small ligands correspond to low free-energy solution structures?

Authors:  M Vieth; J D Hirst; C L Brooks
Journal:  J Comput Aided Mol Des       Date:  1998-11       Impact factor: 3.686

8.  QXP: powerful, rapid computer algorithms for structure-based drug design.

Authors:  C McMartin; R S Bohacek
Journal:  J Comput Aided Mol Des       Date:  1997-07       Impact factor: 3.686

Review 9.  Evolutionary algorithms in computer-aided molecular design.

Authors:  D E Clark; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1996-08       Impact factor: 3.686

10.  A Monte Carlo pharmacophore generation procedure: application to the human PAF receptor.

Authors:  E E Hodgkin; A Miller; M Whittaker
Journal:  J Comput Aided Mol Des       Date:  1993-10       Impact factor: 3.686

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.