Literature DB >> 27248669

Analysis of Ligand-Receptor Association and Intermediate Transfer Rates in Multienzyme Nanostructures with All-Atom Brownian Dynamics Simulations.

Christopher C Roberts1, Chia-En A Chang1.   

Abstract

We present the second-generation GeomBD Brownian dynamics software for determining interenzyme intermediate transfer rates and substrate association rates in biomolecular complexes. Substrate and intermediate association rates for a series of enzymes or biomolecules can be compared between the freely diffusing disorganized configuration and various colocalized or complexed arrangements for kinetic investigation of enhanced intermediate transfer. In addition, enzyme engineering techniques, such as synthetic protein conjugation, can be computationally modeled and analyzed to better understand changes in substrate association relative to native enzymes. Tools are provided to determine nonspecific ligand-receptor association residence times, and to visualize common sites of nonspecific association of substrates on receptor surfaces. To demonstrate features of the software, interenzyme intermediate substrate transfer rate constants are calculated and compared for all-atom models of DNA origami scaffold-bound bienzyme systems of glucose oxidase and horseradish peroxidase. Also, a DNA conjugated horseradish peroxidase enzyme was analyzed for its propensity to increase substrate association rates and substrate local residence times relative to the unmodified enzyme. We also demonstrate the rapid determination and visualization of common sites of nonspecific ligand-receptor association by using HIV-1 protease and an inhibitor, XK263. GeomBD2 accelerates simulations by precomputing van der Waals potential energy grids and electrostatic potential grid maps, and has a flexible and extensible support for all-atom and coarse-grained force fields. Simulation software is written in C++ and utilizes modern parallelization techniques for potential grid preparation and Brownian dynamics simulation processes. Analysis scripts, written in the Python scripting language, are provided for quantitative simulation analysis. GeomBD2 is applicable to the fields of biophysics, bioengineering, and enzymology in both predictive and explanatory roles.

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Year:  2016        PMID: 27248669     DOI: 10.1021/acs.jpcb.6b02236

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


  8 in total

1.  Amyloid-β (Aβ42) Peptide Aggregation Rate and Mechanism on Surfaces with Widely Varied Properties: Insights from Brownian Dynamics Simulations.

Authors:  Timothy Cholko; Joseph Barnum; Chia-En A Chang
Journal:  J Phys Chem B       Date:  2020-06-26       Impact factor: 2.991

2.  Modeling Effects of Surface Properties and Probe Density for Nanoscale Biosensor Design: A Case Study of DNA Hybridization near Surfaces.

Authors:  Timothy Cholko; Chia-En A Chang
Journal:  J Phys Chem B       Date:  2021-02-16       Impact factor: 2.991

3.  Adaptation of a Genetic Screen Reveals an Inhibitor for Mitochondrial Protein Import Component Tim44.

Authors:  Non Miyata; Zhiye Tang; Michael A Conti; Meghan E Johnson; Colin J Douglas; Samuel A Hasson; Robert Damoiseaux; Chia-En A Chang; Carla M Koehler
Journal:  J Biol Chem       Date:  2017-02-06       Impact factor: 5.157

4.  Mechanism of the Association Pathways for a Pair of Fast and Slow Binding Ligands of HIV-1 Protease.

Authors:  Yu-Ming M Huang; Mark Anthony V Raymundo; Wei Chen; Chia-En A Chang
Journal:  Biochemistry       Date:  2017-02-21       Impact factor: 3.162

5.  Ligand Binding Pathways and Conformational Transitions of the HIV Protease.

Authors:  Yinglong Miao; Yu-Ming M Huang; Ross C Walker; J Andrew McCammon; Chia-En A Chang
Journal:  Biochemistry       Date:  2018-02-15       Impact factor: 3.162

6.  Investigating Intrinsically Disordered Proteins With Brownian Dynamics.

Authors:  Surl-Hee Ahn; Gary A Huber; J Andrew McCammon
Journal:  Front Mol Biosci       Date:  2022-06-08

Review 7.  Understanding ligand-receptor non-covalent binding kinetics using molecular modeling.

Authors:  Zhiye Tang; Christopher C Roberts; Chia-En A Chang
Journal:  Front Biosci (Landmark Ed)       Date:  2017-01-01

8.  Molecular Mechanics Study of Flow and Surface Influence in Ligand-Protein Association.

Authors:  Shivansh Kaushik; Chia-En A Chang
Journal:  Front Mol Biosci       Date:  2021-05-10
  8 in total

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