Karolinska Institutet
Browse

Understanding structural features of biomolecular interactions : from classical simulations to ab initio calculations

Download (989.03 kB)
thesis
posted on 2024-09-02, 17:09 authored by Yossa Dwi Hartono

The structures of biomolecules and their interactions dictate their functions. In this thesis, five papers are presented to illustrate how the dynamics of biomolecules can be investigated and derivation of desired thermodynamic quantities obtained by utilising a diverse range of computational techniques, from simulations utilising classical mechanical descriptions to calculations employing quantum mechanical descriptions.

Classical simulation, referring to molecular dynamics simulation with atomistic force fields, has been used in every paper in this thesis. In Paper I, classical simulation and homology modelling are used to investigate the dynamics of a protein as well as that of its homologues, which have a missing region. Protein purification and production of these homologues was also attempted.

When state transitions like protonation and tautomerisation equilibria are central to the query, we employed lambda-dynamics, an extension to conventional simulation that can describe transitions between states by including coupling parameter lambda in the dynamics. In Papers II and III, protonation and tautomerisation equilibria respectively are central to the query. In Paper II, lambda-dynamics and multiple pH regime are both used to calculate the pK shifts of cytidine in triplex nucleic acid environments. In some of the triplex nucleic acid systems, sugar modification LNA is present. The force field parameters of LNA have been updated to provider better descriptions for pK calculations. In Paper III, lambda-dynamics is used to describe tautomerisation equilibrium between two tautomers of pseudoisocytidine in singlestranded and triple-stranded nucleic acids in order to observe how the equilibrium shifts in different environments. In vitro binding assay is used to corroborate the computational results.

When greater accuracy for certain properties like electrostatics or energetics is required, we employed quantum mechanical calculations as well as hybrid methods which combine classical and quantum mechanical descriptions. In Paper IV, QM and QM/MM calculations were performed to calculate the energetic difference between two tautomers in the ribosome. In Paper V, protein-specific polarised charge, a charge update scheme that updates the atomic charges with QM and Poisson-Boltzmann calculations during classical simulation, is used for better electrostatics description of a peptide.

List of scientific papers

I. Hartono, Y.D.; Pervushin, Konstantin. Megavirales homologues of translation termination factor eRF1: protein production, homology modelling, and molecular dynamics. [Manuscript]

II. Hartono, Y.D.; Xu, Y; Karshikoff, A; Nilsson, L.; Villa, A. Modeling pK shift in triplex DNA. [Manuscript]

III. Hartono, Y.D.; Pabon-Martinez, Y.V.; Uyar, A.; Wengel, J.; Lundin, K.E.; Zain, R.; Smith, C.E.; Nilsson, L.; Villa, A. Role of Pseudoisocytidine Tautomerization in Triplex-Forming Oligonucleotides: In Silico and in Vitro Studies. ACS Omega. 2017, 2(5), 2165-2177.
https://doi.org/10.1021/acsomega.7b00347

IV. Hartono, Y.D.; Ito, M.; Villa, A; Nilsson, L. Keto-enol tautomerisation of modified uridine in ribosome decoding centre. [Manuscript]

V. Hartono, Y.D.; Yip, Y.M.; Zhang, D. Adsorption and folding dynamics of MPER of HIV‐1 gp41 in the presence of DPC micelle. Proteins: Structure, Function, and Bioinformatics. 2013, 81(6), 933-944.
https://doi.org/10.1002/prot.24256

History

Defence date

2017-11-13

Department

  • Department of Medicine, Huddinge

Publisher/Institution

Karolinska Institutet

Main supervisor

Villa, Alessandra

Co-supervisors

Nilsson, Lennart; Pervushin, Konstantin

Publication year

2017

Thesis type

  • Doctoral thesis

ISBN

978-91-7676-829-7

Number of supporting papers

5

Language

  • eng

Original publication date

2017-10-17

Author name in thesis

Hartono, Yossa Dwi

Original department name

Department of Biosciences and Nutrition

Place of publication

Stockholm

Usage metrics

    Theses

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC