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High-throughput screening for enzyme inhibitors using frontal affinity chromatography with liquid chromatography and mass spectrometry
- Source :
- Analytical Chemistry. Oct 1, 2005, Vol. 77 Issue 19, p6125, 9 p.
- Publication Year :
- 2005
-
Abstract
- This work presents new frontal affinity chromatography (FAC) methodologies for high-throughput screening of compound libraries, designed to increase screening rates and improve sensitivity and ruggedness in performance. A FAC column constructed around the enzyme N-acetylglucosaminyltransferase V (GnT-V) was implemented in the identification of potential enzyme inhibitors from two libraries of trisaccharides. Effluent from the FAC column was fractionated, sequentially processed via LC/MS, and referenced to a similar analysis through a control FAC column lacking the enzyme. The resulting multidimensional data sets were compared across corresponding sample and control fractions to identify binders, in a semiautomated approach. A strong binder in the protonated form at m/z 795 was identified from the first library of 81 compounds, exhibiting an estimated [K.sub.d] value of 0.3 [micro]M. Other binders yielded [K.sub.d] values ranging from 0.35 to 3.35 [micro]M. To demonstrate the improvement in performance of this FAC-LC/MS approach over the conventional online FAC/MS approach, 15 compounds from this library were blended with a second library of 1000 synthetic trisaccharides and screened against GnT-V. All ligands in the 15-compound set were identified in this larger screen, and no ligands of greater affinity than compound 1 were found. Our results show that FAC-LC/MS is a reliable method for screening large compound libraries directly and useful for large-scale ligand discovery initiatives.
- Subjects :
- Enzyme inhibitors -- Research
Ligands -- Analysis
Chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 00032700
- Volume :
- 77
- Issue :
- 19
- Database :
- Gale General OneFile
- Journal :
- Analytical Chemistry
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.137917867