Literature DB >> 8592707

A strategy for theoretical binding constant, Ki, calculations for neuraminidase aromatic inhibitors designed on the basis of the active site structure of influenza virus neuraminidase.

M J Jedrzejas1, S Singh, W J Brouillette, G M Air, M Luo.   

Abstract

Neuraminidase (NA) is one of the two major surface antigens of influenza virus. It plays an indispensable role in the release and spread of progeny virus particles during infection. NA inhibitors reduce virus infection in animals. To improve the clinical efficacy of NA inhibitors, we have begun the design of non-carbohydrate inhibitors based on the active site structure of NA. The approach is an iterative process of ligand modeling and electrostatic calculations followed by chemical synthesis of compounds, biological testing, and NA-inhibitor complex structure determination by X-ray crystallography. A strategy has been developed to calculate Ki for newly designed inhibitors. The calculations using the DelPhi program were performed for carbohydrate inhibitors and three preliminary benzoic acid inhibitors of neuraminidase (BANA) that have been synthesized and shown to bind to the active site of NA in the crystal structure. The calculated Kis of these inhibitors have an enlightening agreement with their in vitro biological activities. This demonstrates that the calculations produce informative results on the affinity of modeled inhibitors. GRID maps were also calculated and several pockets were identified for accepting possible new ligands. The calculated Kis for newly designed ligands suggest that these potential compounds will have high inhibitory activities.

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Year:  1995        PMID: 8592707     DOI: 10.1002/prot.340230215

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  10 in total

1.  Analysis of inhibitor binding in influenza virus neuraminidase.

Authors:  B J Smith; P M Colman; M Von Itzstein; B Danylec; J N Varghese
Journal:  Protein Sci       Date:  2001-04       Impact factor: 6.725

2.  Functional group placement in protein binding sites: a comparison of GRID and MCSS.

Authors:  R Bitetti-Putzer; D Joseph-McCarthy; J M Hogle; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

Review 3.  Prediction of binding constants of protein ligands: a fast method for the prioritization of hits obtained from de novo design or 3D database search programs.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1998-07       Impact factor: 3.686

4.  Generation and characterization of a mutant of influenza A virus selected with the neuraminidase inhibitor BCX-140.

Authors:  S Bantia; A A Ghate; S L Ananth; Y S Babu; G M Air; G M Walsh
Journal:  Antimicrob Agents Chemother       Date:  1998-04       Impact factor: 5.191

5.  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

6.  Combining crystallographic information and an aspherical-atom data bank in the evaluation of the electrostatic interaction energy in an enzyme-substrate complex: influenza neuraminidase inhibition.

Authors:  Paulina M Dominiak; Anatoliy Volkov; Adam P Dominiak; Katarzyna N Jarzembska; Philip Coppens
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2009-04-18

7.  Sensitivity of molecular docking to induced fit effects in influenza virus neuraminidase.

Authors:  Louise Birch; Christopher W Murray; Michael J Hartshorn; Ian J Tickle; Marcel L Verdonk
Journal:  J Comput Aided Mol Des       Date:  2002-12       Impact factor: 3.686

8.  Molecular dynamics and free energy analysis of neuraminidase-ligand interactions.

Authors:  Pascal Bonnet; Richard A Bryce
Journal:  Protein Sci       Date:  2004-04       Impact factor: 6.725

9.  Crystal structure of a new benzoic acid inhibitor of influenza neuraminidase bound with a new tilt induced by overpacking subsite C6.

Authors:  Lalitha Venkatramani; Eric S Johnson; Gundurao Kolavi; Gillian M Air; Wayne J Brouillette; Blaine H M Mooers
Journal:  BMC Struct Biol       Date:  2012-05-06

Review 10.  Structural glycobiology: a game of snakes and ladders.

Authors:  Mari L DeMarco; Robert J Woods
Journal:  Glycobiology       Date:  2008-04-04       Impact factor: 4.313

  10 in total

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