uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Multiscale modeling of macromolecular biosystems
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Computational and Systems Biology. (Flores)
Chemistry Department of Seoul National University.
Show others and affiliations
2012 (English)In: Briefings in Bioinformatics, ISSN 1467-5463, E-ISSN 1477-4054, Vol. 13, no 4, 395-405 p.Article in journal (Refereed) Published
Abstract [en]

In this article, we review the recent progress in multiresolution modeling of structure and dynamics of protein, RNA and their complexes. Many approaches using both physics-based and knowledge-based potentials have been developed at multiple granularities to model both protein and RNA. Coarse graining can be achieved not only in the length, but also in the time domain using discrete time and discrete state kinetic network models. Models with different resolutions can be combined either in a sequential or parallel fashion. Similarly, the modeling of assemblies is also often achieved using multiple granularities.The progress shows that a multiresolution approach has considerable potential to continue extending the length and time scales of macromolecular modeling.

Place, publisher, year, edition, pages
2012. Vol. 13, no 4, 395-405 p.
Keyword [en]
multiscale modeling, protein structure and dynamics, nucleic acid modeling, protein assemblies
National Category
Bioinformatics and Systems Biology
URN: urn:nbn:se:uu:diva-166874DOI: 10.1093/bib/bbr077ISI: 000306925000002OAI: oai:DiVA.org:uu-166874DiVA: diva2:478288
Available from: 2012-01-16 Created: 2012-01-16 Last updated: 2012-10-02Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Flores, Samuel
By organisation
Computational and Systems Biology
In the same journal
Briefings in Bioinformatics
Bioinformatics and Systems Biology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 160 hits
ReferencesLink to record
Permanent link

Direct link