Novel applications for hierarchical natural move Monte Carlo simulations: from proteins to nucleic acids
<p>Biological molecules often undergo large structural changes to perform their function. Computational methods can provide a fine-grained description at the atomistic scale. Without sufficient approximations to accelerate the simulations, however, the time-scale on which functional motions of...
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| Format: | Thesis |
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2016
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| _version_ | 1797092724936015872 |
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| author | Demharter, S |
| author2 | Minary, P |
| author_facet | Minary, P Demharter, S |
| author_sort | Demharter, S |
| collection | OXFORD |
| description | <p>Biological molecules often undergo large structural changes to perform their function. Computational methods can provide a fine-grained description at the atomistic scale. Without sufficient approximations to accelerate the simulations, however, the time-scale on which functional motions often occur is out of reach for many traditional methods. Natural Move Monte Carlo belongs to a class of methods that were introduced to bridge this gap. I present three novel applications for Natural Move Monte Carlo, two on proteins and one on DNA epigenetics. In the second part of this thesis I introduce a new protocol for the testing of hypotheses regarding the functional motions of biological systems, named customised Natural Move Monte Carlo. Two different case studies are presented aimed at demonstrating the feasibility of customised Natural Move Monte Carlo.</p> |
| first_indexed | 2024-03-07T03:50:06Z |
| format | Thesis |
| id | oxford-uuid:c0ef3ba5-4fe0-4684-a0ce-202003cd79a5 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T03:50:06Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | oxford-uuid:c0ef3ba5-4fe0-4684-a0ce-202003cd79a52022-03-27T05:57:55ZNovel applications for hierarchical natural move Monte Carlo simulations: from proteins to nucleic acidsThesishttp://purl.org/coar/resource_type/c_db06uuid:c0ef3ba5-4fe0-4684-a0ce-202003cd79a5Molecular SimulationsStructural bioinformaticsProtein dynamicsORA Deposit2016Demharter, SMinary, PDeane, CKnapp, B<p>Biological molecules often undergo large structural changes to perform their function. Computational methods can provide a fine-grained description at the atomistic scale. Without sufficient approximations to accelerate the simulations, however, the time-scale on which functional motions often occur is out of reach for many traditional methods. Natural Move Monte Carlo belongs to a class of methods that were introduced to bridge this gap. I present three novel applications for Natural Move Monte Carlo, two on proteins and one on DNA epigenetics. In the second part of this thesis I introduce a new protocol for the testing of hypotheses regarding the functional motions of biological systems, named customised Natural Move Monte Carlo. Two different case studies are presented aimed at demonstrating the feasibility of customised Natural Move Monte Carlo.</p> |
| spellingShingle | Molecular Simulations Structural bioinformatics Protein dynamics Demharter, S Novel applications for hierarchical natural move Monte Carlo simulations: from proteins to nucleic acids |
| title | Novel applications for hierarchical natural move Monte Carlo simulations: from proteins to nucleic acids |
| title_full | Novel applications for hierarchical natural move Monte Carlo simulations: from proteins to nucleic acids |
| title_fullStr | Novel applications for hierarchical natural move Monte Carlo simulations: from proteins to nucleic acids |
| title_full_unstemmed | Novel applications for hierarchical natural move Monte Carlo simulations: from proteins to nucleic acids |
| title_short | Novel applications for hierarchical natural move Monte Carlo simulations: from proteins to nucleic acids |
| title_sort | novel applications for hierarchical natural move monte carlo simulations from proteins to nucleic acids |
| topic | Molecular Simulations Structural bioinformatics Protein dynamics |
| work_keys_str_mv | AT demharters novelapplicationsforhierarchicalnaturalmovemontecarlosimulationsfromproteinstonucleicacids |