Fragmentbasierte Wirkstoffentwicklung

Aretz, Jonas; Rademacher, Christoph

doi:10.1002/nadc.201590042

Cited by 1 publication

(2 citation statements)

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“…Possibly techniques such as NMR, immunoassays, fluorescence assays and radio ligand binding assays could be seen as well-suited in this regard. In order to avoid systematic errors (biases), such as caused by frequent hitters, aggregation or adsorption (see ''Avoiding common error sources'' section), it is common practice to employ at least two orthogonal techniques in binding experiments [43]. Please note that specificity is not equivalent to robustness or reliability.…”

Section: General Comparison Of Assaysmentioning

confidence: 99%

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Data quality in drug discovery: the role of analytical performance in ligand binding assays

Wätzig

Oltmann-Norden

Steinicke

et al. 2015

J Comput Aided Mol Des

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Despite its importance and all the considerable efforts made, the progress in drug discovery is limited. One main reason for this is the partly questionable data quality. Models relating biological activity and structures and in silico predictions rely on precisely and accurately measured binding data. However, these data vary so strongly, such that only variations by orders of magnitude are considered as unreliable. This can certainly be improved considering the high analytical performance in pharmaceutical quality control. Thus the principles, properties and performances of biochemical and cell-based assays are revisited and evaluated. In the part of biochemical assays immunoassays, fluorescence assays, surface plasmon resonance, isothermal calorimetry, nuclear magnetic resonance and affinity capillary electrophoresis are discussed in details, in addition radiation-based ligand binding assays, mass spectrometry, atomic force microscopy and microscale thermophoresis are briefly evaluated. In addition, general sources of error, such as solvent, dilution, sample pretreatment and the quality of reagents and reference materials are discussed. Biochemical assays can be optimized to provide good accuracy and precision (e.g. percental relative standard deviation <10 %). Cell-based assays are often considered superior related to the biological significance, however, typically they cannot still be considered as really quantitative, in particular when results are compared over longer periods of time or between laboratories. A very careful choice of assays is therefore recommended. Strategies to further optimize assays are outlined, considering the evaluation and the decrease of the relevant error sources. Analytical performance and data quality are still advancing and will further advance the progress in drug development.

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Section: General Comparison Of Assaysmentioning

confidence: 99%

“…Therefore it measures the thermal stability change of a target protein and its ligand performing a thermal denaturation curve in the presence of a fluorescent dye [43].…”

Section: Fluorescence Based Ligand Binding Assaysmentioning

confidence: 99%