<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Soares, Thereza A.</dc:creator>
  <dc:creator>Vanni, Stefano</dc:creator>
  <dc:creator>Milano, Giuseppe</dc:creator>
  <dc:creator>Cascella, and Michele</dc:creator>
  <dc:date>2017-08-03</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Cellular membranes are fundamental constituents of living organisms. Apart from  defining the boundaries of the cells, they are involved in a wide range of biological  functions, associated with both their structural and the dynamical properties.  Biomembranes can undergo large-scale transformations when subject to specific  environmental changes, including gel–liquid phase transitions, change of aggregation  structure, formation of microtubules, or rupture into vesicles. All of these processes  are dependent on a delicate interplay between intermolecular forces, molecular  crowding, and entropy, and their understanding requires approaches that are able to  capture and rationalize the details of all of the involved interactions. Molecular  dynamics-based computational models at atom-level resolution are, in principle, the  best way to perform such investigations. Unfortunately, the relevant spatial and time  dimensionalities involved in membrane remodeling phenomena would require  computational costs that are today unaffordable on a routinely basis. Such hurdles  can be removed by coarse-graining the representations of the individual molecular  components of the systems. This procedure anyway reduces the possibility of  describing the chemical variations in the lipid mixtures composing biological  membranes. New hybrid particle field multiscale approaches offer today a promising  alternative to the more traditional particle-based simulations methods. By combining  chemically distinguishable molecular representations with mesoscale-based  computationally affordable potentials, they appear as one of the most promising ways  to keep an accurate description of the chemical complexity of biological membranes  and, at the same time, cover the required scales to describe remodeling events.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/306038</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/306038/files/van_tcr.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.jpclett.7b00493</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>The Journal of Physical Chemistry Letters. - 2017, vol. 8, no. 15, p. 3586–3594</dc:source>
  <dc:subject>info:eu-repo/classification/udc/57</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Toward chemically resolved computer simulations of dynamics and remodeling of biological membranes</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
