Computational studies of DNA structure and recognition

This thesis involves the use of large scale molecular dynamics simulations and associated analysis techniques to study DNA structure and recognition. LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) is a scalable molecular dynamics code including long-range Coulomb interactions th...

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Main Author: Grindon, Christina Rebecca
Format: Thesis (University of Nottingham only)
Language:English
Published: 2004
Subjects:
Online Access:https://eprints.nottingham.ac.uk/11569/
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author Grindon, Christina Rebecca
author_facet Grindon, Christina Rebecca
author_sort Grindon, Christina Rebecca
building Nottingham Research Data Repository
collection Online Access
description This thesis involves the use of large scale molecular dynamics simulations and associated analysis techniques to study DNA structure and recognition. LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) is a scalable molecular dynamics code including long-range Coulomb interactions that has been specifically designed to function efficiently on parallel platforms. Here we describe the implementation of the AMBER98 forcefield in LAMMPS and its validation for molecular dynamics investigations of DNA structure and flexibility against benchmark AMBER6 code results. Extended MD simulations on the hydrated DNA dodecamer d(CTITIGCAAAAG)₂ and 1:1 and 2:1 drug complexes, which have previously been the subject of extensive dynamical analysis using AMBER6, show that it is possible to obtain excellent agreement in terms of static, dynamic and thermodynamic parameters between AMBER6 and LAMMPS. Also, compared to AMBER6, LAMMPS shows greatly improved scalability in massively parallel environments (Cray T3E). The telomerase enzyme is active in 85-90% of human tumours and is therefore an important target in anti-cancer drug design. Telomerase acts at the telomeric regions of chromosomes adding successive (TIAGGG)n repeats causing immortalisation of the cell. Telomerase can be inhibited by the stabilisation of G-quadruplexes which, in vitro studies show, are formed in these telomeric regions. In order to minimise non-specific toxicity associated with this approach it is important that the drugs preferentially bind to quadruplex over duplex DNA. A series of novel polycyclic acridine salts have been synthesised within our laboratories that show this property. MD studies have been used to study alternative binding relationships of RHPS4 (our lead compound) to quadruplex and duplex DNA and to explore the differences in binding profiles of RHPS4 and its methyl derivative RHPS3. Analysis of extended simulations (≥3ns) has been carried out including evaluation of ΔG from enthalpic and entropic contributions, linear interaction energy, stacking interactions and molecular interaction potentials. "Correct" binding positions for RHPS4 in quadruplex and duplex DNA have been found and simulations and analysis of RHPS3 also carried out. Although the results are not conclusive and do not all agree with the experimental data we can conclude that quadruplex verses duplex selectivity is governed by a subtle balance between many factors, including electrostatic and vdW interactions, DNA flexibility and most probably the models used.
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spelling nottingham-115692025-02-28T11:14:21Z https://eprints.nottingham.ac.uk/11569/ Computational studies of DNA structure and recognition Grindon, Christina Rebecca This thesis involves the use of large scale molecular dynamics simulations and associated analysis techniques to study DNA structure and recognition. LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) is a scalable molecular dynamics code including long-range Coulomb interactions that has been specifically designed to function efficiently on parallel platforms. Here we describe the implementation of the AMBER98 forcefield in LAMMPS and its validation for molecular dynamics investigations of DNA structure and flexibility against benchmark AMBER6 code results. Extended MD simulations on the hydrated DNA dodecamer d(CTITIGCAAAAG)₂ and 1:1 and 2:1 drug complexes, which have previously been the subject of extensive dynamical analysis using AMBER6, show that it is possible to obtain excellent agreement in terms of static, dynamic and thermodynamic parameters between AMBER6 and LAMMPS. Also, compared to AMBER6, LAMMPS shows greatly improved scalability in massively parallel environments (Cray T3E). The telomerase enzyme is active in 85-90% of human tumours and is therefore an important target in anti-cancer drug design. Telomerase acts at the telomeric regions of chromosomes adding successive (TIAGGG)n repeats causing immortalisation of the cell. Telomerase can be inhibited by the stabilisation of G-quadruplexes which, in vitro studies show, are formed in these telomeric regions. In order to minimise non-specific toxicity associated with this approach it is important that the drugs preferentially bind to quadruplex over duplex DNA. A series of novel polycyclic acridine salts have been synthesised within our laboratories that show this property. MD studies have been used to study alternative binding relationships of RHPS4 (our lead compound) to quadruplex and duplex DNA and to explore the differences in binding profiles of RHPS4 and its methyl derivative RHPS3. Analysis of extended simulations (≥3ns) has been carried out including evaluation of ΔG from enthalpic and entropic contributions, linear interaction energy, stacking interactions and molecular interaction potentials. "Correct" binding positions for RHPS4 in quadruplex and duplex DNA have been found and simulations and analysis of RHPS3 also carried out. Although the results are not conclusive and do not all agree with the experimental data we can conclude that quadruplex verses duplex selectivity is governed by a subtle balance between many factors, including electrostatic and vdW interactions, DNA flexibility and most probably the models used. 2004-07-06 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/11569/1/404030.pdf Grindon, Christina Rebecca (2004) Computational studies of DNA structure and recognition. PhD thesis, University of Nottingham. molecular dynamics molecular dynamics simulations DNA structure LAMMPS Large-scale Atomic/Molecular Massively Parallel Simulator telomerase enzyme anti-cancer drugs
spellingShingle molecular dynamics
molecular dynamics simulations
DNA structure
LAMMPS
Large-scale Atomic/Molecular Massively Parallel Simulator
telomerase enzyme
anti-cancer drugs
Grindon, Christina Rebecca
Computational studies of DNA structure and recognition
title Computational studies of DNA structure and recognition
title_full Computational studies of DNA structure and recognition
title_fullStr Computational studies of DNA structure and recognition
title_full_unstemmed Computational studies of DNA structure and recognition
title_short Computational studies of DNA structure and recognition
title_sort computational studies of dna structure and recognition
topic molecular dynamics
molecular dynamics simulations
DNA structure
LAMMPS
Large-scale Atomic/Molecular Massively Parallel Simulator
telomerase enzyme
anti-cancer drugs
url https://eprints.nottingham.ac.uk/11569/