2004
DOI: 10.1016/j.cbpa.2004.06.011
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The chemical hunt for the identification of drugable targets

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Cited by 31 publications
(32 citation statements)
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“…From a stock library of 2.2 Mio bead immobilized heterocyclic compounds, a representative, diversity-optimized subset of 89,000 compounds ("master plate") ‡ was screened by CONA (confocal nanoscanning/bead picking). 41 CONA represents a high-resolution, high-speed and quantitative technology for high-throughput screening of one-bead-onecompound libraries. In CONA, the confocal detection volume is used to scan a layer of library beads in a microtiter plate to generate a cross-section image at the equatorial plane of the beads (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…From a stock library of 2.2 Mio bead immobilized heterocyclic compounds, a representative, diversity-optimized subset of 89,000 compounds ("master plate") ‡ was screened by CONA (confocal nanoscanning/bead picking). 41 CONA represents a high-resolution, high-speed and quantitative technology for high-throughput screening of one-bead-onecompound libraries. In CONA, the confocal detection volume is used to scan a layer of library beads in a microtiter plate to generate a cross-section image at the equatorial plane of the beads (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…To explore the potential of inhibiting importin β function with small molecule high affinity binders, we performed a CONA on-bead screen (Figure 1) with Alexa-488 labeled importin β (9, 2023) (Protein labelling and characterization are described in the supporting information text and in Figures S1–S4). We screened a 45,600 compound containing diversity-optimized subset from our much larger stock of one bead, one compound libraries (2.2 million compounds).…”
Section: Resultsmentioning
confidence: 99%
“…Equally important but not covered in this review are aspects of target identification, target druggability, and ligand preselection. Even in the field of "classical" targets the first two topics have only been touched recently [239,240], and computational approaches are emerging [176,241]. However, they may become even more important in the case of protein-protein targets due to the large variability of PPI.…”
Section: Abbreviationsmentioning
confidence: 99%