Article

Interrogating the Molecular Basis for Substrate Recognition in Serotonin and Dopamine Transporters with High-Affinity Substrate-Based Bivalent Ligands.

ACS Chemical Neuroscience, American Chemical Society (ACS), ISSN 1948-7193

Volume 7, 10, 2016

DOI:10.1021/acschemneuro.6b00164, Dimensions: pub.1022936215, PMID: 27425420,

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Organisations

  1. (1) University of Copenhagen, grid.5254.6, KU
  2. (2) Aarhus University, grid.7048.b, AU

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Denmark

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Europe

Description

The transporters for the neurotransmitters serotonin and dopamine (SERT and DAT, respectively) are targets for drugs used in the treatment of mental disorders and widely used drugs of abuse. Studies of prokaryotic homologues have advanced our structural understanding of SERT and DAT, but it still remains enigmatic whether the human transporters contain one or two high-affinity substrate binding sites. We have designed and employed 24 bivalent ligands possessing a highly systematic combination of substrate moieties (serotonin and/or dopamine) and aliphatic or poly(ethylene glycol) spacers to reveal insight into substrate recognition in SERT and DAT. An optimized bivalent ligand comprising two serotonin moieties binds SERT with 3,800-fold increased affinity compared to that of serotonin, suggesting that the human transporters have two distinct substrate binding sites. We show that the bivalent ligands are inhibitors of SERT and an experimentally validated docking model suggests that the bivalent compounds bind with one substrate moiety in the central binding site (the S1 site), whereas the other substrate moiety binds in a distinct binding site (the S2 site). A systematic study of nonconserved SERT/DAT residues surrounding the proposed binding region showed that nonconserved binding site residues do not contribute to selective recognition of substrates in SERT or DAT. This study provides novel insight into the molecular basis for substrate recognition in human transporters and provides an improved foundation for the development of new drugs targeting SERT and DAT.

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NORA University Profiles

University of Copenhagen

Aarhus University

Danish Open Access Indicator

2016: Blocked

Research area: Medicine

Danish Bibliometrics Indicator

2016: Level 1

Research area: Medicine

Dimensions Citation Indicators

Times Cited: 11

Field Citation Ratio (FCR): 2.08

Relative Citation ratio (RCR): 0.79