Bridging the gap between computational chemistry and macromolecular crystallography

Octav Caldararu

Research output: ThesisDoctoral Thesis (compilation)

124 Downloads (Pure)

Abstract

Knowledge of the atomic structure of biomolecules, such as proteins, is paramount to understanding their function and interactions in the human body. For example, knowledge of the atomic structure of a target protein is crucial for developing drugs that bind strongly to it and thus help cure diverse diseases.
Macromolecular crystallography is the forefront method for determining the atomic structure of proteins, especially through X-ray diffraction experiments. However, the data obtained from these experiments are not the atomic structure but need to be processed and interpreted before arriving at the individual positions of atoms in a protein. This intepretation is done through computational techniques that share some of the algorithms and problems with computational chemistry.
In this thesis, we use several methods that combine computational chemistry and macromolecular crystallography for the study of multiple important proteins. Crystallographic refinement combined with quantum mechanical calculations (quantum refinement) is used to improve the X-ray structures of three metalloenzymes. Furthermore, a quantum refinement procedure for neutron structures is developed and applied to two important enzymes. We also investigate how to use and improve the existing information on dynamics from crystallography experiments. To this end, we test whether conformational entropy can be calculated directly from B-factors. Additionally, ensemble refinement is used to explore ligand dynamics in the binding site of galectin-3 and reveals hidden conformations that were not apparent in traditional crystallographic refinement methods. Finally, we study the modeling of water molecules in protein X-ray and neutron crystal structures. We show that molecular dynamics simulations can reproduce crystal water molecules, if protein movements are correctly taken into account. Moreover, we have developed a method to automatically improve the orientation of water molecules in neutron structures.
Original languageEnglish
QualificationDoctor
Supervisors/Advisors
  • Ryde, Ulf, Supervisor
  • Oksanen, Esko, Assistant supervisor
Award date2019 Dec 6
Publisher
ISBN (Print)978-91-7422-702-4
ISBN (electronic) 978-91-7422-703-1
Publication statusPublished - 2019

Bibliographical note

Defence details
Date: 2019-12-06
Time: 09:00
Place: Kemicentrum, Lecture Hall F, Naturvetarvägen 14, Lund
External reviewer(s)
Name: Murshudov, Garib
Title: Dr.
Affiliation: MRC Laboratory of Molecular Biology, Cambridge, UK
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Subject classification (UKÄ)

  • Theoretical Chemistry

Free keywords

  • Protein structure, X-ray crystallography, Neutron crystallography, Quantum mechanics, QM/MM, Quantum refinement, Ensemble refinement, Water structure

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