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<dc:title>A Simulation Model for the Non-Electrogenic Uniport Carrier-Assisted Transport of Ions across Lipid Membranes</dc:title>
<dc:creator>Scorciapino, Mariano Andrea</dc:creator>
<dc:creator>Picci, Giacomo</dc:creator>
<dc:creator>Quesada Pato, Roberto</dc:creator>
<dc:creator>Lippolis, Vito</dc:creator>
<dc:creator>Caltagirone, Claudia</dc:creator>
<dc:subject>Anion receptors</dc:subject>
<dc:subject>Anion recognition</dc:subject>
<dc:subject>Chloride transport</dc:subject>
<dc:subject>Dipicolineamide</dc:subject>
<dc:subject>Lipid vesicles</dc:subject>
<dc:subject>Squaramide</dc:subject>
<dc:subject>Supramolecular medicinal chemistry</dc:subject>
<dc:subject>Synthetic transporters</dc:subject>
<dc:subject>Variable time-step</dc:subject>
<dc:subject>Water to lipid partition</dc:subject>
<dc:description>Impressive work has been completed in recent decades on the transmembrane anion&#xd;
transport capability of small synthetic transporters from many different structural classes. However,&#xd;
very few predicting models have been proposed for the fast screening of compound libraries before&#xd;
spending time and resources on the laboratory bench for their synthesis. In this work, a new&#xd;
approach is presented which aims at describing the transport process by taking all the steps into&#xd;
explicit consideration, and includes all possible experiment-derived parameters. The algorithm is&#xd;
able to simulate the macroscopic experiments performed with lipid vesicles to assess the ion-transport&#xd;
ability of the synthetic transporters following a non-electrogenic uniport mechanism. While keeping&#xd;
calculation time affordable, the final goal is the curve-fitting of real experimental data—so, to obtain&#xd;
both an analysis and a predictive tool. The role and the relative weight of the different parameters&#xd;
is discussed and the agreement with the literature is shown by using the simulations of a virtual&#xd;
benchmark case. The fitting of real experimental curves is also shown for two transporters of different&#xd;
structural type.</dc:description>
<dc:date>2023-03-30T08:15:31Z</dc:date>
<dc:date>2023-03-30T08:15:31Z</dc:date>
<dc:date>2022-03</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>http://hdl.handle.net/10259/7625</dc:identifier>
<dc:identifier>10.3390/membranes12030292</dc:identifier>
<dc:identifier>2077-0375</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>Membranes. 2022, V. 12, n. 3, 292</dc:relation>
<dc:relation>https://doi.org/10.3390/membranes12030292</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/MIUR/PRIN 2017/2017EKCS35/IT/</dc:relation>
<dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:publisher>MDPI</dc:publisher>
</ow:Publication>
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