Amyloid aggregation simulations: challenges, advances and perspectives. (April 2021)
- Record Type:
- Journal Article
- Title:
- Amyloid aggregation simulations: challenges, advances and perspectives. (April 2021)
- Main Title:
- Amyloid aggregation simulations: challenges, advances and perspectives
- Authors:
- Strodel, Birgit
- Abstract:
- Abstract : In amyloid aggregation diseases soluble proteins coalesce into a wide array of undesirable structures, ranging through oligomers and prefibrillar assemblies to highly ordered amyloid fibrils and plaques. Explicit-solvent all-atom molecular dynamics (MD) simulations of amyloid aggregation have been performed for almost 20 years, revealing valuable information about this phenomenon. However, these simulations are challenged by three main problems. Firstly, current force fields modeling amyloid aggregation are insufficiently accurate. Secondly, the protein concentrations in MD simulations are usually orders of magnitude higher than those used in vitro or found in vivo, which has direct consequences on the aggregates that form. Finally, the third problem is the well-known time-scale limit of MD simulations. In this review I highlight recent approaches to overcome these three limitations.
- Is Part Of:
- Current opinion in structural biology. Volume 67(2021)
- Journal:
- Current opinion in structural biology
- Issue:
- Volume 67(2021)
- Issue Display:
- Volume 67, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 67
- Issue:
- 2021
- Issue Sort Value:
- 2021-0067-2021-0000
- Page Start:
- 145
- Page End:
- 152
- Publication Date:
- 2021-04
- Subjects:
- Molecular biology -- Periodicals
570 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0959440X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.sbi.2020.10.019 ↗
- Languages:
- English
- ISSNs:
- 0959-440X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3500.779000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16772.xml