Publication | Open Access
In-crystal affinity ranking of fragment hit compounds reveals a relationship with their inhibitory activities
29
Citations
23
References
2011
Year
Crystal StructureDrug TargetHit IdentificationIn-crystal Affinity RankingChemistryAnalytical UltracentrifugationChemical BiologyMedicinal ChemistryF C MapsStructure ElucidationMolecular RecognitionInhibitory ActivityBiochemistryMedicinePharmacologyMolecular ModelingCrystallographyStructural BiologyBiomolecular EngineeringInhibitory ActivitiesFragment-based Drug DiscoveryNatural SciencesRational Drug DesignMolecular DockingSmall MoleculesDrug Discovery
Fragment-based drug discovery (FBDD), which is a molecular build-up strategy from small scaffolds, has recently become a promising approach for lead-compound generation. Although high-throughput protein crystallography is usually used to determine the protein–ligand complex structure and identify potential hit compounds, the relationship between the quality of the F o – F c maps of hit compounds and their inhibitory activities has rarely been examined. To address this issue, crystallographic competition experiments were carried out to determine the relative order of the in-crystal binding affinities using five hit compounds of bovine pancreatic trypsin inhibitors. Soaking experiments of all combinations of the five hit compounds were used to define the in-crystal affinity ranking. Based on characterization by a high-concentration bioassay, a clear correlation was observed between in-crystal binding affinities and the inhibitory activities in solution. Moreover, the correlation analysis revealed that X-ray-based screening can detect a weak hit compound with inhibitory activity below the limit of detection, even in a high-concentration assay. The proposed crystallographic competition method could function as a valuable tool, not only to select a plausible starting scaffold for subsequent synthetic efforts but also to access structure–activity relationships using fragment compounds with a wider detection limit than a biological assay. The crystallographic validation methodology described here will greatly accelerate the hit-to-lead process during fragment-based and structure-based drug design.
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