2026-04-17T12:23:27Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/76252023-04-21T07:29:45Zcom_10259_3924com_10259_5086com_10259_2604col_10259_3925

Scorciapino, Mariano Andrea 3c8355c7-acfc-4643-a136-8c9182b4e1c8 600 Picci, Giacomo f5ae1a80-989f-4f58-87bb-9fe678406c2a 600 Quesada Pato, Roberto 458 600 0000-0003-2764-7157 Lippolis, Vito 3bc06eba-8491-4a4f-b898-d8cf45cebb6d 600 Caltagirone, Claudia eb74694e-4a18-48c8-88f6-e30fb996e77d 600 2023-03-30T08:15:31Z 2023-03-30T08:15:31Z 2022-03 http://hdl.handle.net/10259/7625 10.3390/membranes12030292 2077-0375 Impressive work has been completed in recent decades on the transmembrane anion transport capability of small synthetic transporters from many different structural classes. However, very few predicting models have been proposed for the fast screening of compound libraries before spending time and resources on the laboratory bench for their synthesis. In this work, a new approach is presented which aims at describing the transport process by taking all the steps into explicit consideration, and includes all possible experiment-derived parameters. The algorithm is able to simulate the macroscopic experiments performed with lipid vesicles to assess the ion-transport ability of the synthetic transporters following a non-electrogenic uniport mechanism. While keeping calculation time affordable, the final goal is the curve-fitting of real experimental data—so, to obtain both an analysis and a predictive tool. The role and the relative weight of the different parameters is discussed and the agreement with the literature is shown by using the simulations of a virtual benchmark case. The fitting of real experimental curves is also shown for two transporters of different structural type. This research was funded by the University of Cagliari (FIR 2020). Financial support from MIUR (PRIN 2017 project 2017EKCS35), Fondazione di Sardegna (FdS Progetti Biennali di Ateneo, annualità 2018 and 2020) is also gratefully acknowledged. application/pdf eng MDPI Membranes. 2022, V. 12, n. 3, 292 https://doi.org/10.3390/membranes12030292 info:eu-repo/grantAgreement/MIUR/PRIN 2017/2017EKCS35/IT/ Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Anion receptors Anion recognition Chloride transport Dipicolineamide Lipid vesicles Squaramide Supramolecular medicinal chemistry Synthetic transporters Variable time-step Water to lipid partition Química orgánica Chemistry, Organic A Simulation Model for the Non-Electrogenic Uniport Carrier-Assisted Transport of Ions across Lipid Membranes info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Membranes 12 3 THUMBNAIL Scorciapino-membranes_2022.pdf.jpg Scorciapino-membranes_2022.pdf.jpg IM Thumbnail image/jpeg 3471 https://riubu.ubu.es/bitstream/10259/7625/4/Scorciapino-membranes_2022.pdf.jpg 6faf0cc84986306a74235ce9bd63821e MD5 4 LICENSE license.txt license.txt text/plain; charset=utf-8 999 https://riubu.ubu.es/bitstream/10259/7625/3/license.txt b295bcbce42e2caabeb0c623d3860c06 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 908 https://riubu.ubu.es/bitstream/10259/7625/2/license_rdf 0175ea4a2d4caec4bbcc37e300941108 MD5 2 ORIGINAL Scorciapino-membranes_2022.pdf Scorciapino-membranes_2022.pdf application/pdf 7303180 https://riubu.ubu.es/bitstream/10259/7625/1/Scorciapino-membranes_2022.pdf 0c5b18bf97b3fd8e5d098017377ada4a MD5 1 10259/7625 oai:riubu.ubu.es:10259/7625 2023-04-21 09:29:45.111 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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