Literature DB >> 9690172

Computation of affinity and selectivity: binding of 2,4-diaminopteridine and 2,4-diaminoquinazoline inhibitors to dihydrofolate reductases.

J Marelius1, M Graffner-Nordberg, T Hansson, A Hallberg, J Aqvist.   

Abstract

Binding energy calculations for complexes of mutant and wild-type human dihydrofolate reductases with 2,4-diaminopteridine and 2,4-diaminoquinazoline inhibitors are reported. Quantitative insight into binding energetics of these molecules is obtained from calculations based on force field energy evaluation and thermal sampling by molecular dynamics simulations. The calculated affinity of methotrexate for wild-type and mutant enzymes is reasonably well reproduced. Truncation of the methotrexate glutamate tail results in a loss of affinity by several orders of magnitude. No major difference in binding strength is predicted between the pteridines and the quinazolìnes, while the N-methyl group present in methotrexate appears to confer significantly stronger binding. The recent improvement, which is used here, of our linear interaction energy method for binding affinity prediction, as well as problems with treating charged and flexible ligands are discussed. This approach should be suitable in a drug discovery context for prediction of binding energies of new inhibitors prior to their synthesis, when some information about the binding mode is available.

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Year:  1998        PMID: 9690172     DOI: 10.1023/a:1007929626986

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


  36 in total

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3.  Probing the salt bridge in the dihydrofolate reductase-methotrexate complex by using the coordinate-coupled free-energy perturbation method.

Authors:  U C Singh
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5.  Prediction of electrostatic effects of engineering of protein charges.

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6.  A new method for predicting binding affinity in computer-aided drug design.

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7.  A priori prediction of activity for HIV-1 protease inhibitors employing energy minimization in the active site.

Authors:  M K Holloway; J M Wai; T A Halgren; P M Fitzgerald; J P Vacca; B D Dorsey; R B Levin; W J Thompson; L J Chen; S J deSolms
Journal:  J Med Chem       Date:  1995-01-20       Impact factor: 7.446

8.  Macroscopic models for studies of electrostatic interactions in proteins: limitations and applicability.

Authors:  A Warshel; S T Russell; A K Churg
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9.  Cyclic HIV-1 protease inhibitors derived from mannitol: synthesis, inhibitory potencies, and computational predictions of binding affinities.

Authors:  J Hultén; N M Bonham; U Nillroth; T Hansson; G Zuccarello; A Bouzide; J Aqvist; B Classon; U H Danielson; A Karlén; I Kvarnström; B Samuelsson; A Hallberg
Journal:  J Med Chem       Date:  1997-03-14       Impact factor: 7.446

10.  Methotrexate-resistant variants of human dihydrofolate reductase with substitutions of leucine 22. Kinetics, crystallography, and potential as selectable markers.

Authors:  W S Lewis; V Cody; N Galitsky; J R Luft; W Pangborn; S K Chunduru; H T Spencer; J R Appleman; R L Blakley
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  7 in total

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Authors:  V Zoete; O Michielin; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2003-12       Impact factor: 3.686

2.  Probing the effect of point mutations at protein-protein interfaces with free energy calculations.

Authors:  Martin Almlöf; Johan Aqvist; Arne O Smalås; Bjørn O Brandsdal
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3.  Computation of affinity and selectivity: binding of 2,4-diaminopteridine and 2,4-diaminoquinazoline inhibitors to dihydrofolate reductases.

Authors:  J Marelius; M Graffner-Nordberg; T Hansson; A Hallberg; J Aqvist
Journal:  J Comput Aided Mol Des       Date:  1998-03       Impact factor: 3.686

4.  Computational analysis of binding of P1 variants to trypsin.

Authors:  B O Brandsdal; J Aqvist; A O Smalås
Journal:  Protein Sci       Date:  2001-08       Impact factor: 6.725

5.  Calculation of binding affinities of HIV-1 RT and beta-secretase inhibitors using the linear interaction energy method with explicit and continuum solvation approaches.

Authors:  Niall J English
Journal:  J Mol Model       Date:  2007-08-10       Impact factor: 1.810

6.  Computational perspectives into plasmepsins structure-function relationship: implications to inhibitors design.

Authors:  Alejandro Gil L; Pedro A Valiente; Pedro G Pascutti; Tirso Pons
Journal:  J Trop Med       Date:  2011-07-03

7.  How Good is Jarzynski's Equality for Computer-Aided Drug Design?

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Journal:  J Phys Chem B       Date:  2020-06-22       Impact factor: 2.991

  7 in total

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