0000000000098731

AUTHOR

Brenk Ruth

showing 2 related works from this author

De novo design of protein kinase inhibitors by in silico identification of hinge region-binding fragments.

2013

Protein kinases constitute an attractive family of enzyme targets with high relevance to cell and disease biology. Small molecule inhibitors are powerful tools to dissect and elucidate the function of kinases in chemical biology research and to serve as potential starting points for drug discovery. However, the discovery and development of novel inhibitors remains challenging. Here, we describe a structure-based de novo design approach that generates novel, hinge-binding fragments that are synthetically feasible and can be elaborated to small molecule libraries. Starting from commercially available compounds, core fragments were extracted, filtered for pharmacophoric properties compatible w…

Binding SitesMolecular StructureProtein ConformationIntracellular Signaling Peptides and ProteinsArticlesProtein Serine-Threonine KinasesCrystallography X-RayMAP Kinase Kinase KinasesImmediate-Early ProteinsCSK Tyrosine-Protein KinaseMolecular Docking SimulationSmall Molecule Librariessrc-Family KinasesDrug DesignComputer SimulationProtein Kinase InhibitorsACS chemical biology
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To Hit or Not to Hit, That Is the Question - Genome-wide Structure-Based Druggability Predictions for Pseudomonas aeruginosa Proteins.

2015

Pseudomonas aeruginosa is a Gram-negative bacterium known to cause opportunistic infections in immune-compromised or immunosuppressed individuals that often prove fatal. New drugs to combat this organism are therefore sought after. To this end, we subjected the gene products of predicted perturbative genes to structure-based druggability predictions using DrugPred. Making this approach suitable for large-scale predictions required the introduction of new methods for calculation of descriptors, development of a workflow to identify suitable pockets in homologous proteins and establishment of criteria to obtain valid druggability predictions based on homologs. We were able to identify 29 pert…

Structure-Activity RelationshipBacterial ProteinsDatabases GeneticDrug DiscoveryPseudomonas aeruginosalcsh:Rlcsh:Medicinelcsh:QModels Theoreticallcsh:ScienceAlgorithmsAnti-Bacterial AgentsResearch ArticlePLoS ONE
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