Literature DB >> 11818565

Combinatorial computational method gives new picomolar ligands for a known enzyme.

Bartosz A Grzybowski1, Alexey V Ishchenko, Chu-Young Kim, George Topalov, Robert Chapman, David W Christianson, George M Whitesides, Eugene I Shakhnovich.   

Abstract

Combinatorial small molecule growth algorithm was used to design inhibitors for human carbonic anhydrase II. Two enantiomeric candidate molecules were predicted to bind with high potency (with R isomer binding stronger than S), but in two distinct conformations. The experiments verified that computational predictions concerning the binding affinities and the binding modes were correct for both isomers. The designed R isomer is the best-known inhibitor (K(d) approximately 30 pM) of human carbonic anhydrase II.

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Year:  2002        PMID: 11818565      PMCID: PMC122179          DOI: 10.1073/pnas.032673399

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  16 in total

1.  Analysis of knowledge-based protein-ligand potentials using a self-consistent method.

Authors:  J Shimada; A V Ishchenko; E I Shakhnovich
Journal:  Protein Sci       Date:  2000-04       Impact factor: 6.725

2.  Combinatorial chemistry and contemporary pharmacology.

Authors:  J S Lazo; P Wipf
Journal:  J Pharmacol Exp Ther       Date:  2000-06       Impact factor: 4.030

Review 3.  New approaches to rational drug design.

Authors:  G K Farber
Journal:  Pharmacol Ther       Date:  1999-12       Impact factor: 12.310

4.  Combinatorial docking and combinatorial chemistry: design of potent non-peptide thrombin inhibitors.

Authors:  H J Böhm; D W Banner; L Weber
Journal:  J Comput Aided Mol Des       Date:  1999-01       Impact factor: 3.686

Review 5.  Will combinatorial chemistry deliver real medicines?

Authors:  P L Myers
Journal:  Curr Opin Biotechnol       Date:  1997-12       Impact factor: 9.740

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.  The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structure.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1994-06       Impact factor: 3.686

8.  Combination of bovine carbonic anhydrase with a fluorescent sulfonamide.

Authors:  R F Chen; J C Kernohan
Journal:  J Biol Chem       Date:  1967-12-25       Impact factor: 5.157

9.  Identification of two hydrophobic patches in the active-site cavity of human carbonic anhydrase II by solution-phase and solid-state studies and their use in the development of tight-binding inhibitors.

Authors:  A Jain; G M Whitesides; R S Alexander; D W Christianson
Journal:  J Med Chem       Date:  1994-06-24       Impact factor: 7.446

10.  Refined structure of human carbonic anhydrase II at 2.0 A resolution.

Authors:  A E Eriksson; T A Jones; A Liljas
Journal:  Proteins       Date:  1988
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  12 in total

1.  A validation study on the practical use of automated de novo design.

Authors:  Martin Stahl; Nikolay P Todorov; Tim James; Harald Mauser; Hans-Joachim Boehm; Philip M Dean
Journal:  J Comput Aided Mol Des       Date:  2002-07       Impact factor: 3.686

2.  Decoys for docking.

Authors:  Alan P Graves; Ruth Brenk; Brian K Shoichet
Journal:  J Med Chem       Date:  2005-06-02       Impact factor: 7.446

Review 3.  From laptop to benchtop to bedside: structure-based drug design on protein targets.

Authors:  Lu Chen; John K Morrow; Hoang T Tran; Sharangdhar S Phatak; Lei Du-Cuny; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

Review 4.  In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling.

Authors:  S Ekins; J Mestres; B Testa
Journal:  Br J Pharmacol       Date:  2007-06-04       Impact factor: 8.739

5.  Ligand design by a combinatorial approach based on modeling and experiment: application to HLA-DR4.

Authors:  Erik Evensen; Diane Joseph-McCarthy; Gregory A Weiss; Stuart L Schreiber; Martin Karplus
Journal:  J Comput Aided Mol Des       Date:  2007-07-27       Impact factor: 3.686

Review 6.  Carbonic anhydrase as a model for biophysical and physical-organic studies of proteins and protein-ligand binding.

Authors:  Vijay M Krishnamurthy; George K Kaufman; Adam R Urbach; Irina Gitlin; Katherine L Gudiksen; Douglas B Weibel; George M Whitesides
Journal:  Chem Rev       Date:  2008-03       Impact factor: 60.622

7.  Rescoring docking hit lists for model cavity sites: predictions and experimental testing.

Authors:  Alan P Graves; Devleena M Shivakumar; Sarah E Boyce; Matthew P Jacobson; David A Case; Brian K Shoichet
Journal:  J Mol Biol       Date:  2008-01-30       Impact factor: 5.469

8.  Computational Prediction of the Binding Pose of Metal-Binding Pharmacophores.

Authors:  Johannes Karges; Ryjul W Stokes; Seth M Cohen
Journal:  ACS Med Chem Lett       Date:  2022-02-24       Impact factor: 4.345

9.  Insights towards sulfonamide drug specificity in α-carbonic anhydrases.

Authors:  Mayank Aggarwal; Bhargav Kondeti; Robert McKenna
Journal:  Bioorg Med Chem       Date:  2012-08-28       Impact factor: 3.641

10.  Exploring the ligand-protein networks in traditional chinese medicine: current databases, methods, and applications.

Authors:  Mingzhu Zhao; Qiang Zhou; Wanghao Ma; Dong-Qing Wei
Journal:  Evid Based Complement Alternat Med       Date:  2013-06-02       Impact factor: 2.629

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