SICLOPPS cyclic peptide libraries in drug discovery
SICLOPPS cyclic peptide libraries in drug discovery
Cyclic peptide libraries have demonstrated significant potential when employed against challenging targets such as protein-protein interactions. While a variety of methods for library generation exist, genetically encoded libraries hold several advantages over their chemically synthesized counterparts; they are more readily accessible and allow straightforward hit deconvolution. One method for the intracellular generation of such libraries is split-intein circular ligation of peptides and proteins (SICLOPPS). Here we detail and discuss the deployment of SICLOPPS libraries for the identification of cyclic peptide inhibitors of a variety of targets.
Journal Article, Review
30-35
Tavassoli, Ali
d561cf8f-2669-46b5-b6e1-2016c85d63b2
June 2017
Tavassoli, Ali
d561cf8f-2669-46b5-b6e1-2016c85d63b2
Tavassoli, Ali
(2017)
SICLOPPS cyclic peptide libraries in drug discovery.
Current Opinion in Chemical Biology, 38, .
(doi:10.1016/j.cbpa.2017.02.016).
Abstract
Cyclic peptide libraries have demonstrated significant potential when employed against challenging targets such as protein-protein interactions. While a variety of methods for library generation exist, genetically encoded libraries hold several advantages over their chemically synthesized counterparts; they are more readily accessible and allow straightforward hit deconvolution. One method for the intracellular generation of such libraries is split-intein circular ligation of peptides and proteins (SICLOPPS). Here we detail and discuss the deployment of SICLOPPS libraries for the identification of cyclic peptide inhibitors of a variety of targets.
Text
SICLOPPS review
- Accepted Manuscript
More information
Accepted/In Press date: 16 February 2017
e-pub ahead of print date: 1 March 2017
Published date: June 2017
Keywords:
Journal Article, Review
Organisations:
CBDT
Identifiers
Local EPrints ID: 406843
URI: http://eprints.soton.ac.uk/id/eprint/406843
ISSN: 1367-5931
PURE UUID: c768bd54-dae3-49ba-86f6-7aa369f96f84
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Date deposited: 24 Mar 2017 02:03
Last modified: 16 Mar 2024 05:09
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