Contribution to a book FZJ-2021-00049

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Aggregation and coacervation with Monte Carlo simulations



2020
Elsevier Germany

Computational Approaches for Understanding Dynamical Systems: Protein Folding and Assembly Germany : Elsevier, Progress in Molecular Biology and Translational Science 170, 505-520 ()

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Abstract: Protein aggregation into oligomeric species has been linked to a number of neurodegenerative diseases. The ability to assemble into ordered fibril-like forms under certain conditions is now regarded as a very common property of polypeptide chains. A different form of assembly is known for some proteins in which protein molecules sequester into liquid-like droplets. Understanding the biophysical mechanisms behind these phenomena is of great relevance not only for deeper insights into the associated disorders but also for any protein-based therapeutics. Here we review a few examples of the use of Markov chain Monte Carlo simulations in the study of these two forms of protein assembly.


Note: DOI: 10.1016/bs.pmbts.2019.12.005

Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2020
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 Record created 2021-01-06, last modified 2021-01-27


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