Journal Article FZJ-2019-01839

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Self-similar dynamics of proteins under hydrostatic pressure—Computer simulations and experiments

 ;

2010
Amsterdam [u.a.]

Biochimica et biophysica acta / Proteins and proteomics Proteins and proteomics [...] 1804(1), 56 - 62 () [10.1016/j.bbapap.2009.05.007]

This record in other databases:    

Please use a persistent id in citations: doi:

Abstract: Different experimental techniques, such as kinetic studies of ligand binding and fluorescence correlation spectroscopy, have revealed that the diffusive, internal dynamics of proteins exhibits autosimilarity on the time scale from microseconds to hours. Computer simulations have demonstrated that this type of dynamics is already established on the much shorter nanosecond time scale, which is also covered by quasielastic neutron scattering experiments. The autosimilarity of protein dynamics is reflected in long-time memory effects in the underlying diffusion processes, which lead to a non-exponential decay of the observed time correlation functions. Fractional Brownian dynamics is an empirical model which is able to capture the essential aspects of internal protein dynamics. Here we give a brief introduction into the theory and show how the model can be used to interpret neutron scattering experiments and molecular dynamics simulation of proteins in solution under hydrostatic pressure

Classification:

Contributing Institute(s):
  1. Computational Biomedicine (IAS-5)
  2. Computational Biomedicine (INM-9)
Research Program(s):
  1. 899 - ohne Topic (POF3-899) (POF3-899)

Database coverage:
BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF < 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection
Click to display QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Article
Institute Collections > IAS > IAS-5
Institute Collections > INM > INM-9
Workflow collections > Public records
Publications database

 Record created 2019-03-12, last modified 2021-01-30



Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)