Evidence map›Paper›PMID 35323767›Full record

ArticleMembranes2022

A Simulation Model for the Non-Electrogenic Uniport Carrier-Assisted Transport of Ions across Lipid Membranes.

Mariano Andrea Scorciapino, Giacomo Picci, Roberto Quesada, Vito Lippolis, Claudia Caltagirone

Abstract read
In one paragraph

Article in Membranes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Synthesis of a Highly Fluorescent Quinoxalino[2,3-The Journal of organic chemistry · 2026
    Article
  2. Redox-Controlled Chalcogen Bonding as a Modulator of ZnClJournal of the American Chemical Society · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mariano Andrea ScorciapinoDepartment of Chemical and Geological Sciences, Cittadella Universitaria di Monserrato, University of Cagliari-S.P. 8 km 0,700, I-09042 Monserrato, Italy.ORCID 0000-0001-7502-7265
Giacomo PicciDepartment of Chemical and Geological Sciences, Cittadella Universitaria di Monserrato, University of Cagliari-S.P. 8 km 0,700, I-09042 Monserrato, Italy.ORCID 0000-0002-3688-4464
Roberto QuesadaDepartmento de Quìmica, Universidad de Burgos, 09001 Burgos, Spain.ORCID 0000-0003-2764-7157
Vito LippolisDepartment of Chemical and Geological Sciences, Cittadella Universitaria di Monserrato, University of Cagliari-S.P. 8 km 0,700, I-09042 Monserrato, Italy.ORCID 0000-0001-8093-576X
Claudia CaltagironeDepartment of Chemical and Geological Sciences, Cittadella Universitaria di Monserrato, University of Cagliari-S.P. 8 km 0,700, I-09042 Monserrato, Italy.ORCID 0000-0002-4302-0234

Funding

Fondazione di Sardegna annualità 2018 e 2020Ministry of Education, Universities and Research 2017EKCS35University of Cagliari FIR2020
6 · The paper itself

Abstract

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.

Indexed as

anion receptorsanion recognitionchloride transportdipicolineamidelipid vesiclessquaramidesupramolecular medicinal chemistrysynthetic transportersvariable time-stepwater to lipid partition

Identifiers

PMID35323767
PMCPMC8955484

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.