Evidence map›Paper›PMID 30577601›Full record

ArticleInternational journal of molecular sciences2018

Discovery of Potent Inhibitors for the Large Neutral Amino Acid Transporter 1 (LAT1) by Structure-Based Methods.

Natesh Singh, Mariafrancesca Scalise, Michele Galluccio, Marcus Wieder, Thomas Seidel, Thierry Langer, Cesare Indiveri, Gerhard F Ecker

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  20. Annals of translational medicine · 2021
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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

8 authors.

Natesh SinghDepartment of Pharmaceutical Chemistry, University of Vienna, Althanstrasse 14, 1090 Wien, Austria. singh.natesh@gmail.com.
Mariafrancesca ScaliseDepartment DiBEST, Unit of Biochemistry & Molecular Biotechnology, University of Calabria, Via P. Bucci 4C, 87036 Arcavacata di Rende, Italy. mariafrancesca.scalise@unical.it.
Michele GalluccioDepartment DiBEST, Unit of Biochemistry & Molecular Biotechnology, University of Calabria, Via P. Bucci 4C, 87036 Arcavacata di Rende, Italy. michele.galluccio@unical.it.ORCID 0000-0001-6268-9489
Marcus WiederDepartment of Pharmaceutical Chemistry, University of Vienna, Althanstrasse 14, 1090 Wien, Austria. marcus.wieder@univie.ac.at.ORCID 0000-0003-2631-8415
Thomas SeidelDepartment of Pharmaceutical Chemistry, University of Vienna, Althanstrasse 14, 1090 Wien, Austria. thomas.seidel@univie.ac.at.
Thierry LangerDepartment of Pharmaceutical Chemistry, University of Vienna, Althanstrasse 14, 1090 Wien, Austria. thierry.langer@univie.ac.at.
Cesare IndiveriDepartment DiBEST, Unit of Biochemistry & Molecular Biotechnology, University of Calabria, Via P. Bucci 4C, 87036 Arcavacata di Rende, Italy. cesare.indiveri@unical.it.
Gerhard F EckerDepartment of Pharmaceutical Chemistry, University of Vienna, Althanstrasse 14, 1090 Wien, Austria. gerhard.f.ecker@univie.ac.at.

Funding

Austrian Science Fund FWF F 3502
6 · The paper itself

Abstract

The large neutral amino acid transporter 1 (LAT1) is a promising anticancer target that is required for the cellular uptake of essential amino acids that serve as building blocks for cancer growth and proliferation. Here, we report a structure-based approach to identify chemically diverse and potent inhibitors of LAT1. First, a homology model of LAT1 that is based on the atomic structures of the prokaryotic homologs was constructed. Molecular docking of nitrogen mustards (NMs) with a wide range of affinity allowed for deriving a common binding mode that could explain the structure-activity relationship pattern in NMs. Subsequently, validated binding hypotheses were subjected to molecular dynamics simulation, which allowed for extracting a set of dynamic pharmacophores. Finally, a library of ~1.1 million molecules was virtually screened against these pharmacophores, followed by docking. Biological testing of the 30 top-ranked hits revealed 13 actives, with the best compound showing an IC

Indexed as

Drug DiscoveryBinding SitesComputer SimulationDose-Response Relationship, DrugDrug Evaluation, PreclinicalHumansLarge Neutral Amino Acid-Transporter 1Molecular Docking SimulationMolecular Dynamics SimulationMolecular StructureProtein BindingStructure-Activity RelationshipWorkflowLarge Neutral Amino Acid-Transporter 1amino acid transportercancerinhibitorLAT1proteoliposomesvirtual screening

Identifiers

PMID30577601
PMCPMC6337383

What OpenQuestion holds

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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.