Evidence map›Paper›PMID 27028887›Full record

ArticleCell chemical biology2016

Accurate Prediction of Ligand Affinities for a Proton-Dependent Oligopeptide Transporter.

Firdaus Samsudin, Joanne L Parker, Mark S P Sansom, Simon Newstead, Philip W Fowler

Open access · hybridAbstract read
In one paragraph

Article in Cell chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Transporter-Mediated Drug Delivery.Molecules (Basel, Switzerland) · 2023
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Advances and Challenges in Rational Drug Design for SLCs.Trends in pharmacological sciences · 2019
    Review
  11. Structural basis for prodrug recognition by the SLC15 family of proton-coupled peptide transporters.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Di- and tripeptide transport in vertebrates: the contribution of teleost fish models.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2017
    Review
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Firdaus SamsudinDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, UK.
Joanne L ParkerDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, UK.
Mark S P SansomDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, UK.
Simon NewsteadDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, UK. Electronic address: simon.newstead@bioch.ox.ac.uk.
Philip W FowlerDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, UK. Electronic address: philip.fowler@bioch.ox.ac.uk.
University of Oxford · GB

Funding

Medical Research Council G0900399Wellcome Trust 092970/788Z/10/ZWellcome Trust 102890/Z/13/Z
6 · The paper itself

Abstract

Membrane transporters are critical modulators of drug pharmacokinetics, efficacy, and safety. One example is the proton-dependent oligopeptide transporter PepT1, also known as SLC15A1, which is responsible for the uptake of the ?-lactam antibiotics and various peptide-based prodrugs. In this study, we modeled the binding of various peptides to a bacterial homolog, PepT(St), and evaluated a range of computational methods for predicting the free energy of binding. Our results show that a hybrid approach (endpoint methods to classify peptides into good and poor binders and a theoretically exact method for refinement) is able to accurately predict affinities, which we validated using proteoliposome transport assays. Applying the method to a homology model of PepT1 suggests that the approach requires a high-quality structure to be accurate. Our study provides a blueprint for extending these computational methodologies to other pharmaceutically important transporter families.

Indexed as

Anti-Bacterial AgentsHumansLigandsMolecular Dynamics SimulationOligopeptidesPeptide Transporter 1ProdrugsSymportersThermodynamicsAnti-Bacterial AgentsLigandsOligopeptidesPeptide Transporter 1ProdrugsSLC15A1 protein, humanSymporters

Identifiers

PMID27028887
PMCPMC4760754
OpenAlexW2279362211

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.