Literature DB >> 14635729

Binding of alpha-hydroxy-beta-amino acid inhibitors to methionine aminopeptidase. The performance of two types of scoring functions.

Anne Techau Jørgensen1, Morten Dahl Sørensen, Fredrik Björkling, Tommy Liljefors.   

Abstract

The binding mode of a recently described set of alpha-hydroxy-beta-amino acid inhibitors of methionine aminopeptidase type 2 is suggested in the present work. The binding mode is supported by analysis of published structures of transition state analogues co-crystallised with E. coli methionine aminopeptidase and by a comparison of molecular interaction fields calculated using GRID for E. coli and human methionine aminopeptidase. Based on the suggested binding mode two types of scoring functions have been evaluated and compared. These are the commercially available consensus score, CScore, and scoring of the ligands employing energies calculated using the Merck Molecular Force Field (MMFF). Enriched subsets of ligands were obtained when using CScore, but these scores could not be used to assess the relative affinities of individual compounds. Although still not sufficiently accurate for reliable predictive purposes, an improved correlation was obtained between structure and affinity using a combined force field energy including contributions from solvation and conformational energy penalty for binding.

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Year:  2003        PMID: 14635729     DOI: 10.1023/a:1026149810619

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


  26 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Statistical potentials and scoring functions applied to protein-ligand binding.

Authors:  H Gohlke; G Klebe
Journal:  Curr Opin Struct Biol       Date:  2001-04       Impact factor: 6.809

3.  Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins.

Authors:  P S Charifson; J J Corkery; M A Murcko; W P Walters
Journal:  J Med Chem       Date:  1999-12-16       Impact factor: 7.446

4.  Molecular recognition of angiogenesis inhibitors fumagillin and ovalicin by methionine aminopeptidase 2.

Authors:  E C Griffith; Z Su; S Niwayama; C A Ramsay; Y H Chang; J O Liu
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-22       Impact factor: 11.205

5.  Conformational energy penalties of protein-bound ligands.

Authors:  J Boström; P O Norrby; T Liljefors
Journal:  J Comput Aided Mol Des       Date:  1998-07       Impact factor: 3.686

6.  Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.

Authors:  M D Eldridge; C W Murray; T R Auton; G V Paolini; R P Mee
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

7.  Insights into the mechanism of Escherichia coli methionine aminopeptidase from the structural analysis of reaction products and phosphorus-based transition-state analogues.

Authors:  W T Lowther; Y Zhang; P B Sampson; J F Honek; B W Matthews
Journal:  Biochemistry       Date:  1999-11-09       Impact factor: 3.162

8.  Synthetic analogues of fumagillin that inhibit angiogenesis and suppress tumour growth.

Authors:  D Ingber; T Fujita; S Kishimoto; K Sudo; T Kanamaru; H Brem; J Folkman
Journal:  Nature       Date:  1990-12-06       Impact factor: 49.962

9.  Selective inhibition of endothelial cell proliferation by fumagillin is not due to differential expression of methionine aminopeptidases.

Authors:  J Wang; P Lou; J Henkin
Journal:  J Cell Biochem       Date:  2000-04       Impact factor: 4.429

Review 10.  Angiogenesis in cancer, vascular, rheumatoid and other disease.

Authors:  J Folkman
Journal:  Nat Med       Date:  1995-01       Impact factor: 53.440

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