Literature DB >> 21646537

Complete reconstruction of an enzyme-inhibitor binding process by molecular dynamics simulations.

Ignasi Buch1, Toni Giorgino, Gianni De Fabritiis.   

Abstract

The understanding of protein-ligand binding is of critical importance for biomedical research, yet the process itself has been very difficult to study because of its intrinsically dynamic character. Here, we have been able to quantitatively reconstruct the complete binding process of the enzyme-inhibitor complex trypsin-benzamidine by performing 495 molecular dynamics simulations of free ligand binding of 100 ns each, 187 of which produced binding events with an rmsd less than 2 Å compared to the crystal structure. The binding paths obtained are able to capture the kinetic pathway of the inhibitor diffusing from solvent (S0) to the bound (S4) state passing through two metastable intermediate states S2 and S3. Rather than directly entering the binding pocket the inhibitor appears to roll on the surface of the protein in its transition between S3 and the final binding pocket, whereas the transition between S2 and the bound pose requires rediffusion to S3. An estimation of the standard free energy of binding gives ΔG° = -5.2 ± 0.4 kcal/mol (cf. the experimental value -6.2 kcal/mol), and a two-states kinetic model k(on) = (1.5 ± 0.2) × 10(8) M(-1) s(-1) and k(off) = (9.5 ± 3.3) × 10(4) s(-1) for unbound to bound transitions. The ability to reconstruct by simple diffusion the binding pathway of an enzyme-inhibitor binding process demonstrates the predictive power of unconventional high-throughput molecular simulations. Moreover, the methodology is directly applicable to other molecular systems and thus of general interest in biomedical and pharmaceutical research.

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Year:  2011        PMID: 21646537      PMCID: PMC3121846          DOI: 10.1073/pnas.1103547108

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


  37 in total

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5.  Progress and challenges in the automated construction of Markov state models for full protein systems.

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6.  Enhanced modeling via network theory: Adaptive sampling of Markov state models.

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8.  The use of proflavin as an indicator in temperature-jump studies of the binding of a competitive inhibitor to trypsin.

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Journal:  J Am Chem Soc       Date:  1970-09-09       Impact factor: 15.419

Review 9.  Computations of standard binding free energies with molecular dynamics simulations.

Authors:  Yuqing Deng; Benoît Roux
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10.  Binding modes of thioflavin-T to the single-layer beta-sheet of the peptide self-assembly mimics.

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  164 in total

1.  Locating binding poses in protein-ligand systems using reconnaissance metadynamics.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-21       Impact factor: 11.205

Review 2.  Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches.

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Journal:  J R Soc Interface       Date:  2011-10-12       Impact factor: 4.118

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-02       Impact factor: 11.205

4.  Peptide Binding to a PDZ Domain by Electrostatic Steering via Nonnative Salt Bridges.

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Journal:  Biophys J       Date:  2015-05-05       Impact factor: 4.033

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6.  Computational and Experimental Studies of Inhibitor Design for Aldolase A.

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Journal:  J Phys Chem B       Date:  2019-07-03       Impact factor: 2.991

7.  Computer-aided Drug Design: Using Numbers to your Advantage.

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Journal:  ACS Med Chem Lett       Date:  2013-09-12       Impact factor: 4.345

Review 8.  Modeling protein association mechanisms and kinetics.

Authors:  Huan-Xiang Zhou; Paul A Bates
Journal:  Curr Opin Struct Biol       Date:  2013-07-12       Impact factor: 6.809

9.  Structural basis for modulation of a G-protein-coupled receptor by allosteric drugs.

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Journal:  Nature       Date:  2013-10-13       Impact factor: 49.962

10.  SEEKR: Simulation Enabled Estimation of Kinetic Rates, A Computational Tool to Estimate Molecular Kinetics and Its Application to Trypsin-Benzamidine Binding.

Authors:  Lane W Votapka; Benjamin R Jagger; Alexandra L Heyneman; Rommie E Amaro
Journal:  J Phys Chem B       Date:  2017-03-03       Impact factor: 2.991

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