Literature DB >> 26613153

Determination of Free Energy Profiles for the Translocation of Polynucleotides through α-Hemolysin Nanopores using Non-Equilibrium Molecular Dynamics Simulations.

Hugh S C Martin1, Shantenu Jha1, Stefan Howorka1, Peter V Coveney1.   

Abstract

The translocation of polynucleotides through transmembrane protein pores is a fundamental biological process with important technological and medical relevance. The translocation process is complex, and it is influenced by a range of factors including the diameter and inner surface of the pore, the secondary structure of the polymer, and the interactions between the polymer and protein. In this paper, we perform nonequilibrium constant velocity-steered molecular dynamics simulations of nucleic acid molecule translocation through the protein nanopore α-hemolysin and use Jarzynski's identity to determine the associated free energy profiles. With this approach we are able to explain the observed differences in experimental translocation time through the nanopore between polyadenosine and polydeoxycytidine. The translocation of polynucleotides and single nucleotides through α-hemolysin is investigated. These simulations are computationally intensive as they employ models with atomistic level resolution; in addition to their size, these systems are challenging to study due to the time scales of translocation of large asymmetric molecules. Our simulations provide insight into the role of the interactions between the nucleic acid molecules and the protein pore. Mutated protein pores provide confirmation of residue-specific interactions between nucleotides and the protein pore. By harnessing such molecular dynamics simulations, we gain new physicochemical insight into the translocation process.

Entities:  

Year:  2009        PMID: 26613153     DOI: 10.1021/ct9000894

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  9 in total

1.  Electrical Current Signatures of DNA Base Modifications in Single Molecules Immobilized in the α-Hemolysin Ion Channel.

Authors:  Anna H Wolna; Aaron M Fleming; Na An; Lidong He; Henry S White; Cynthia J Burrows
Journal:  Isr J Chem       Date:  2013-06-01       Impact factor: 3.333

2.  Monitoring the escape of DNA from a nanopore using an alternating current signal.

Authors:  Daniel K Lathrop; Eric N Ervin; Geoffrey A Barrall; Michael G Keehan; Ryuji Kawano; Michael A Krupka; Henry S White; Andrew H Hibbs
Journal:  J Am Chem Soc       Date:  2010-02-17       Impact factor: 15.419

3.  Computational Studies of Molecular Permeation through Connexin26 Channels.

Authors:  Yun Luo; Angelo R Rossi; Andrew L Harris
Journal:  Biophys J       Date:  2016-02-02       Impact factor: 4.033

4.  Single-stranded DNA within nanopores: conformational dynamics and implications for sequencing; a molecular dynamics simulation study.

Authors:  Andrew T Guy; Thomas J Piggot; Syma Khalid
Journal:  Biophys J       Date:  2012-09-05       Impact factor: 4.033

5.  Probing carbohydrate product expulsion from a processive cellulase with multiple absolute binding free energy methods.

Authors:  Lintao Bu; Gregg T Beckham; Michael R Shirts; Mark R Nimlos; William S Adney; Michael E Himmel; Michael F Crowley
Journal:  J Biol Chem       Date:  2011-03-24       Impact factor: 5.157

6.  Comparative analysis of nucleotide translocation through protein nanopores using steered molecular dynamics and an adaptive biasing force.

Authors:  Hugh S C Martin; Shantenu Jha; Peter V Coveney
Journal:  J Comput Chem       Date:  2014-01-09       Impact factor: 3.376

7.  Insights into protein sequencing with an α-Hemolysin nanopore by atomistic simulations.

Authors:  Giovanni Di Muccio; Aldo Eugenio Rossini; Daniele Di Marino; Giuseppe Zollo; Mauro Chinappi
Journal:  Sci Rep       Date:  2019-04-23       Impact factor: 4.379

8.  Large Scale Study of Ligand-Protein Relative Binding Free Energy Calculations: Actionable Predictions from Statistically Robust Protocols.

Authors:  Agastya P Bhati; Peter V Coveney
Journal:  J Chem Theory Comput       Date:  2022-03-16       Impact factor: 6.578

Review 9.  Rapid, accurate, precise and reproducible ligand-protein binding free energy prediction.

Authors:  Shunzhou Wan; Agastya P Bhati; Stefan J Zasada; Peter V Coveney
Journal:  Interface Focus       Date:  2020-10-16       Impact factor: 3.906

  9 in total

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