Multiscale simulations of protein and membrane systems

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SAWADE, Kevin, Christine PETER, 2021. Multiscale simulations of protein and membrane systems. In: Current opinion in structural biology. Elsevier. 72, pp. 203-208. ISSN 0959-440X. eISSN 1879-033X. Available under: doi: 10.1016/

@article{Sawade2021-12-22Multi-56467, title={Multiscale simulations of protein and membrane systems}, year={2021}, doi={10.1016/}, volume={72}, issn={0959-440X}, journal={Current opinion in structural biology}, pages={203--208}, author={Sawade, Kevin and Peter, Christine} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:rights>terms-of-use</dc:rights> <dc:creator>Peter, Christine</dc:creator> <dc:creator>Sawade, Kevin</dc:creator> <dc:contributor>Peter, Christine</dc:contributor> <dc:date rdf:datatype="">2022-02-09T13:14:32Z</dc:date> <bibo:uri rdf:resource=""/> <dcterms:issued>2021-12-22</dcterms:issued> <dcterms:available rdf:datatype="">2022-02-09T13:14:32Z</dcterms:available> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:isPartOf rdf:resource=""/> <dcterms:rights rdf:resource=""/> <dcterms:title>Multiscale simulations of protein and membrane systems</dcterms:title> <dc:contributor>Sawade, Kevin</dc:contributor> <dc:language>eng</dc:language> <dspace:isPartOfCollection rdf:resource=""/> <dcterms:abstract xml:lang="eng">Classical multiscale simulations are perfectly suited to investigate biological soft matter systems. Owing to the bridging between microscopically realistic and lower-resolution models or the integration of a hierarchy of subsystems, one gets access to biologically relevant system sizes and timescales. In recent years, increasingly complex systems and processes have come into focus such as multidomain proteins, phase separation processes in biopolymer solutions, multicomponent biomembranes, or multiprotein complexes up to entire viruses. The review shows factors that have contributed to this progress - from improved models to machine-learning-based analysis and scale-bridging methods.</dcterms:abstract> </rdf:Description> </rdf:RDF>

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