Literature DB >> 9690170

Evaluation of proposed modes of binding of (2S)-2-[4-[[(3S)-1-acetimidoyl-3-pyrrolidinyl]oxy]phenyl]-3-(7-am idino- 2- naphthyl)propanoic acid hydrochloride and some analogs to factor Xa using a comparative molecular field analysis.

R J Vaz1, L R McLean, J T Pelton.   

Abstract

The binding mode of (2S)-2-[4-[[(3S)-1-acetimidoyl-3-pyrrolidinyl]oxy]phenyl]-3-(7-ami dino-2- naphthyl)propanoic acid hydrochloride (DX-9065a, 4) to Factor Xa is examined using inhibition data for a series of analogs that have a hydrophobic group as well as basic or dibasic functionality. Comparative molecular field analysis is utilized on a series of DX-9065a analogs in a series of proposed alternative binding modes. A quantitative measure is provided that distinguishes between the proposed binding modes that describes 'how well' the binding mode explains the structure-activity relationship or the best 3D QSAR agrees with the crystallographically determined binding mode. The best model is in agreement with recently available data [Brandstetter et al., J. Biol. Chem., 271 (1996) 29988]. The highest statistical correlation occurs with the second basic group accommodated in the vicinity of Glu97 and a hydrophobic group accommodated in the pocket defined by Phe174, Tyr99 and Trp215. Also, the best model arises when the conformation of the Glu97 side chain is modified such that an H-bond interaction is maintained with the inhibitor if possible. The model also shows a tightening of the S1 pocket as is shown in the recent data described above.

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Year:  1998        PMID: 9690170     DOI: 10.1023/a:1007969517376

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


  20 in total

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Authors:  A B Kelly; J M Maraganore; P Bourdon; S R Hanson; L A Harker
Journal:  Proc Natl Acad Sci U S A       Date:  1992-07-01       Impact factor: 11.205

2.  Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins.

Authors:  R D Cramer; D E Patterson; J D Bunce
Journal:  J Am Chem Soc       Date:  1988-08-01       Impact factor: 15.419

3.  The Protein Data Bank: a computer-based archival file for macromolecular structures.

Authors:  F C Bernstein; T F Koetzle; G J Williams; E F Meyer; M D Brice; J R Rodgers; O Kennard; T Shimanouchi; M Tasumi
Journal:  J Mol Biol       Date:  1977-05-25       Impact factor: 5.469

Review 4.  The molecular basis of blood coagulation.

Authors:  B Furie; B C Furie
Journal:  Cell       Date:  1988-05-20       Impact factor: 41.582

Review 5.  Coagulation factors and their inhibitors.

Authors:  M T Stubbs; W Bode
Journal:  Curr Opin Struct Biol       Date:  1994-12       Impact factor: 6.809

6.  On the use of LUDI to search the Fine Chemicals Directory for ligands of proteins of known three-dimensional structure.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1994-10       Impact factor: 3.686

Review 7.  Proposed cation-pi mediated binding by factor Xa: a novel enzymatic mechanism for molecular recognition.

Authors:  Z Lin; M E Johnson
Journal:  FEBS Lett       Date:  1995-08-14       Impact factor: 4.124

8.  Dibasic (amidinoaryl)propanoic acid derivatives as novel blood coagulation factor Xa inhibitors.

Authors:  T Nagahara; Y Yokoyama; K Inamura; S Katakura; S Komoriya; H Yamaguchi; T Hara; M Iwamoto
Journal:  J Med Chem       Date:  1994-04-15       Impact factor: 7.446

9.  Structure of human des(1-45) factor Xa at 2.2 A resolution.

Authors:  K Padmanabhan; K P Padmanabhan; A Tulinsky; C H Park; W Bode; R Huber; D T Blankenship; A D Cardin; W Kisiel
Journal:  J Mol Biol       Date:  1993-08-05       Impact factor: 5.469

10.  CoMFA analysis of the interactions of antipicornavirus compounds in the binding pocket of human rhinovirus-14.

Authors:  G D Diana; P Kowalczyk; A M Treasurywala; R C Oglesby; D C Pevear; F J Dutko
Journal:  J Med Chem       Date:  1992-03-20       Impact factor: 7.446

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  6 in total

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Authors:  W Sippl
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

2.  Development of biologically active compounds by combining 3D QSAR and structure-based design methods.

Authors:  Wolfgang Sippl
Journal:  J Comput Aided Mol Des       Date:  2002-11       Impact factor: 3.686

3.  Structure-based 3D QSAR and design of novel acetylcholinesterase inhibitors.

Authors:  W Sippl; J M Contreras; I Parrot; Y M Rival; C G Wermuth
Journal:  J Comput Aided Mol Des       Date:  2001-05       Impact factor: 3.686

4.  Factor Xa: simulation studies with an eye to inhibitor design.

Authors:  X Daura; E Haaksma; W F van Gunsteren
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

5.  Characterization of thrombin/factor Xa inhibitors in Rhizoma Chuanxiong through UPLC-MS-based multivariate statistical analysis.

Authors:  Yi-Yao Yang; Zhao-Yu Wu; Fang-Bo Xia; Hao Zhang; Xu Wang; Jian-Li Gao; Feng-Qing Yang; Jian-Bo Wan
Journal:  Chin Med       Date:  2020-08-31       Impact factor: 5.455

6.  LC-MS-based multivariate statistical analysis for the screening of potential thrombin/factor Xa inhibitors from Radix Salvia Miltiorrhiza.

Authors:  Yi-Yao Yang; Zhao-Yu Wu; Hao Zhang; Shi-Jun Yin; Fang-Bo Xia; Qian Zhang; Jian-Bo Wan; Jian-Li Gao; Feng-Qing Yang
Journal:  Chin Med       Date:  2020-04-26       Impact factor: 5.455

  6 in total

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