Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Comparison of Affinity Ranking by Target-directed Dynamic Combinatorial Chemistry and Surface Plasmon Resonance
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4523330
Author(s) Frei, Priska; Silbermann, Marleen; Mühlethaler, Tobias; Jiang, Xiaohua; Schwardt, Oliver; Hevey, Rachel; Ernst, Beat
Author(s) at UniBasel Ernst, Beat
Hevey, Rachel
Schwardt, Oliver
Jiang, Xiaohua
Mühlethaler, Tobias
Silbermann, Marleen
Frei, Priska
Year 2019
Title Comparison of Affinity Ranking by Target-directed Dynamic Combinatorial Chemistry and Surface Plasmon Resonance
Journal Arkivoc
Volume part iv
Pages / Article-Number 143-167
Abstract Target-directed dynamic combinatorial chemistry (tdDCC) is a powerful method to screen ligands for pharmacologically relevant targets. Generating a dynamic library from reversibly reacting building blocks in the presence of a target protein leads to the amplification of the most potent library constituents. In previous studies on tdDCC, these compounds were identified in a qualitative “hit/no-hit”-manner. However, the precise relationship between the degree of amplification and the affinity of the library constituent has not yet been evaluated. To study the amplification–affinity relationship, we compared tdDCC experiments, employing reversible acylhydrazone formation and the bacterial adhesin FimH as a target, with affinities of the library constituents as determined by surface plasmon resonance.
Publisher ARKAT USA
ISSN/ISBN 1551-7012 ; 1551-7004
edoc-URL https://edoc.unibas.ch/73711/
Full Text on edoc No
Digital Object Identifier DOI 10.24820/ark.5550190.p010.913
ISI-Number WOS:000483508300009
Document type (ISI) Article
Additional Information A Commemorative Issue in Honor of Dr. Stephen Hanessian
 
   

MCSS v5.8 PRO. 0.338 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
20/04/2024