Literature DB >> 29630379

Probing the Binding Affinity by Jarzynski's Nonequilibrium Binding Free Energy and Rupture Time.

Duc Toan Truong1,2, Mai Suan Li1,3.   

Abstract

Binding affinity of a small ligand to a receptor is the important quantity in drug design, and it might be characterized by different quantities. The most popular one is the binding free energy, which can be estimated by several methods in conventional molecular dynamics simulation. So far in steered molecular dynamics (SMD), one can use either the rupture force or nonequilibrium pulling work as a measure for binding affinity. In this paper, we have shown that the nonequilibrium binding free energy Δ GneqJar, obtained by Jarzynski's equality at a finite pulling speed, has good correlation with experimental data on inhibition constants, implying that this quantity can be used as a good scoring function for binding affinity. A similar correlation has also been disclosed for binding and unbinding free energy barriers. Applying the SMD method to unbinding of 23 small compounds from the binding site of β-lactamase protein, a bacteria-produced enzyme, we have demonstrated that the rupture or unbinding time strongly correlates with experimental data with correlation level R ≈ 0.84. As follows from the Jarzynski's equality, the rupture time depends on the unbinding barrier exponentially. We show that Δ GneqJar, the rupture time, and binding and unbinding free energy barriers are good descriptors for binding affinity. Our observation may be useful for fast screening of potential leads as the SMD simulation is not time-consuming. On the basis of nonequilibrium simulation, we disclosed that, in agreement with the experiment, the binding time is much longer than the unbinding one.

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Year:  2018        PMID: 29630379     DOI: 10.1021/acs.jpcb.8b02137

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  8 in total

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4.  Remdesivir Strongly Binds to Both RNA-Dependent RNA Polymerase and Main Protease of SARS-CoV-2: Evidence from Molecular Simulations.

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Journal:  J Phys Chem B       Date:  2020-12-02       Impact factor: 2.991

5.  Cocktail of REGN Antibodies Binds More Strongly to SARS-CoV-2 Than Its Components, but the Omicron Variant Reduces Its Neutralizing Ability.

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Journal:  J Phys Chem B       Date:  2022-04-11       Impact factor: 3.466

6.  Determination of Multidirectional Pathways for Ligand Release from the Receptor: A New Approach Based on Differential Evolution.

Authors:  Hoang Linh Nguyen; Nguyen Quoc Thai; Mai Suan Li
Journal:  J Chem Theory Comput       Date:  2022-05-05       Impact factor: 6.578

7.  Investigation of Binding Affinity between Potential Antiviral Agents and PB2 Protein of Influenza A: Non-equilibrium Molecular Dynamics Simulation Approach.

Authors:  Tri Pham; Hoang Linh Nguyen; Tuyn Phan-Toai; Hung Nguyen
Journal:  Int J Med Sci       Date:  2020-07-25       Impact factor: 3.738

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

Authors:  Kiet Ho; Duc Toan Truong; Mai Suan Li
Journal:  J Phys Chem B       Date:  2020-06-22       Impact factor: 2.991

  8 in total

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