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Fluorescent Mu Selective Opioid Ligands from a Mixture Based Cyclic Peptide Library

Overview of attention for article published in ACS Combinatorial Science, November 2012
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Title
Fluorescent Mu Selective Opioid Ligands from a Mixture Based Cyclic Peptide Library
Published in
ACS Combinatorial Science, November 2012
DOI 10.1021/co300110t
Pubmed ID
Authors

Yangmei Li, Colette T. Dooley, Jaime A. Misler, Ginamarie Debevec, Marc A. Giulianotti, Margaret E. Cazares, Laura Maida, Richard A. Houghten

Abstract

A positional scanning cyclic peptide library was generated using a penta-peptide thioester scaffold. Glycine was fixed at position R(1). Diaminopropionic acid was fixed at position R(3), with its γ-amino attaching to an anthraniloyl group. Positions R(2) and R(4) contained 36 L- and D- amino acids and position R(5) contained 19 L- amino acids. Cyclization was performed in a mixture of acetonitrile and 1.5 M aqueous imidazole solution (7:1 v/v) at room temperature for 5 days. No significant cross-oligomerization was detected under the cyclization conditions. The library was screened in a binding assay for mu opioid receptor, identifying the active amino acid mixture at each position. A total of 40 individual cyclic peptides were identified and synthesized by the combinations of the most active amino acid mixtures found at three positions 5 × 4 × 2. Two cyclic peptides exhibited high binding affinities to opioid receptor. The most active cyclic peptide in the library was yielded to have Tyr at R(2), D-Lys at R(4), and Tyr at R(5). Further investigation on this compound revealed the side chain-to-tail isomer to have greater binding affinity (14 nM) than the head-to-tail isomer (39 nM). Both isomers were selective for the mu-opioid receptor.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Student > Ph. D. Student 3 17%
Professor > Associate Professor 2 11%
Student > Master 2 11%
Student > Bachelor 1 6%
Other 3 17%
Unknown 3 17%
Readers by discipline Count As %
Chemistry 9 50%
Medicine and Dentistry 2 11%
Agricultural and Biological Sciences 1 6%
Arts and Humanities 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Other 1 6%
Unknown 3 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 November 2012.
All research outputs
#18,319,742
of 22,684,168 outputs
Outputs from ACS Combinatorial Science
#235
of 361 outputs
Outputs of similar age
#139,703
of 183,504 outputs
Outputs of similar age from ACS Combinatorial Science
#5
of 6 outputs
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