ArticlePharmaceutical research2006
Development of a QSAR model for binding of tripeptides and tripeptidomimetics to the human intestinal di-/tripeptide transporter hPEPT1.
Article in Pharmaceutical research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 18 citations in OpenAlex.
- The tandem chain extension aldol reaction used for synthesis of ketomethylene tripeptidomimetics targeting hPEPT1.Bioorganic & medicinal chemistry letters · 2011Article
- A quantitative structure-activity relationship for translocation of tripeptides via the human proton-coupled peptide transporter, hPEPT1 (SLC15A1).The AAPS journal · 2010Article
- Bioavailability through PepT1: the role of computer modelling in intelligent drug design.Current computer-aided drug design · 2010Review
- Modeling kinetics of subcellular disposition of chemicals.Chemical reviews · 2009Review
- Artificial neural network models for prediction of intestinal permeability of oligopeptides.BMC bioinformatics · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to develop a three-dimensional quantitative structure-activity relationship (QSAR) model for binding of tripeptides and tripeptidomimetics to hPEPT1 based on a series of 25 diverse tripeptides.
methodsVolSurf descriptors were generated and correlated with binding affinities by multivariate data analysis. The affinities for hPEPT1 of the tripeptides and tripeptidomimetics were determined experimentally by use of Caco-2 cell monolayers.
resultsThe Ki-values of the 25 tripeptides and tripeptidomimetics ranged from 0.15 to 25 mM and the structural diversity of the compounds was described by VolSurf descriptors. A QSAR model that correlated the VolSurf descriptors of the tripeptides with their experimental binding affinity for hPEPT1 was established.
conclusionStructural information on tripeptide properties influencing the binding to hPEPT1 was extracted from the QSAR model. This information may contribute to the drug design process of tripeptides and tripeptidomimetics where hPEPT1 is targeted as an absorptive transporter for improvement of intestinal absorption. To our knowledge, this is the first time a correlation between VolSurf descriptors and binding affinities for hPEPT1 has been reported.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.