Journal article
Modelling functional motions of biological systems by customised natural moves
- Abstract:
- Simulating the functional motions of biomolecular systems requires large computational resources. We introduce a computationally inexpensive protocol for the systematic testing of hypotheses regarding the dynamic behaviour of proteins and nucleic acids. The protocol is based on natural move Monte Carlo, a highly efficient conformational sampling method with in-built customisation capabilities that allows researchers to design and perform a large number of simulations to investigate functional motions in biological systems. We demonstrate the use of this protocol on both a protein and a DNA case study. Firstly, we investigate the plasticity of a class II major-histo-compatibility complex in the absence of a bound peptide. Secondly, we study the effects of the epigenetic mark 5-hydroxymethyl on cytosine on the structure of the Dickerson-Drew dodecamer. We show how our customised natural moves protocol can be used to investigate causal relationships of functional motions in biological systems.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.1MB, Terms of use)
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- Publisher copy:
- 10.1016/j.bpj.2016.06.028
Authors
- Publisher:
- Biophysical Society
- Journal:
- Biophysical Journal More from this journal
- Volume:
- 111
- Issue:
- 4
- Pages:
- 710–721
- Publication date:
- 2016-08-23
- Acceptance date:
- 2016-06-22
- DOI:
- EISSN:
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1542-0086
- ISSN:
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0006-3495
- Pubs id:
-
pubs:632210
- UUID:
-
uuid:415026a9-0923-4d74-a38e-45e3306a32dd
- Local pid:
-
pubs:632210
- Source identifiers:
-
632210
- Deposit date:
-
2016-07-06
- ARK identifier:
Terms of use
- Copyright holder:
- Biophysical Society
- Copyright date:
- 2016
- Notes:
- © 2016 Biophysical Society. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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