Literature DB >> 18204905

Quantitative measurement of protease ligand conformation.

Christopher J R Illingworth1, Kevin E B Parkes, Christopher R Snell, Christopher A Reynolds.   

Abstract

The tendency for protease ligands to bind in an extended conformation has been suggested as an important factor for the identification of compounds of medicinal importance. Here we present a novel graph-theoretical method giving a quantitative measure of ligand conformation, and through application of this method to a representative set of protease ligands in bound and unbound conformations, derive the result that protease ligands are more extended in conformation when in their bound state.

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Year:  2008        PMID: 18204905     DOI: 10.1007/s10822-008-9173-z

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


  6 in total

1.  Conformational selection of inhibitors and substrates by proteolytic enzymes: implications for drug design and polypeptide processing.

Authors:  D P Fairlie; J D Tyndall; R C Reid; A K Wong; G Abbenante; M J Scanlon; D R March; D A Bergman; C L Chai; B A Burkett
Journal:  J Med Chem       Date:  2000-04-06       Impact factor: 7.446

Review 2.  Conformational homogeneity in molecular recognition by proteolytic enzymes.

Authors:  J D Tyndall; D P Fairlie
Journal:  J Mol Recognit       Date:  1999 Nov-Dec       Impact factor: 2.137

3.  Substrate shape determines specificity of recognition for HIV-1 protease: analysis of crystal structures of six substrate complexes.

Authors:  Moses Prabu-Jeyabalan; Ellen Nalivaika; Celia A Schiffer
Journal:  Structure       Date:  2002-03       Impact factor: 5.006

4.  Can we separate active from inactive conformations?

Authors:  David J Diller; Kenneth M Merz
Journal:  J Comput Aided Mol Des       Date:  2002-02       Impact factor: 3.686

Review 5.  Proteases universally recognize beta strands in their active sites.

Authors:  Joel D A Tyndall; Tessa Nall; David P Fairlie
Journal:  Chem Rev       Date:  2005-03       Impact factor: 60.622

6.  MEROPS: the peptidase database.

Authors:  Neil D Rawlings; Fraser R Morton; Alan J Barrett
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

  6 in total

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