scholarly journals The analgesic efficacy of morphine varies with rat strain and experimental pain model: implications for target validation efforts in pain drug discovery

2018 ◽  
Vol 23 (3) ◽  
pp. 539-554 ◽  
Author(s):  
Sara Hestehave ◽  
Klas S. P. Abelson ◽  
Tina Brønnum Pedersen ◽  
Gordon Munro
Keyword(s):  
Drug Discovery ◽  
Analgesic Efficacy ◽  
Experimental Pain ◽  
Target Validation ◽  
Pain Model ◽  
Rat Strain

Screening the receptorome: an efficient approach for drug discovery and target validation

2006 ◽  
Vol 11 (15-16) ◽  
pp. 708-716 ◽  
Author(s):  
Ryan T. Strachan ◽  
Gina Ferrara ◽  
Bryan L. Roth
Keyword(s):  
Drug Discovery ◽  
Target Validation ◽  
Efficient Approach

scholarly journals Encoded Library Technologies as Integrated Lead Finding Platforms for Drug Discovery

Molecules ◽  
2019 ◽  
Vol 24 (8) ◽  
pp. 1629 ◽  
Author(s):  
Johannes Ottl ◽  
Lukas Leder ◽  
Jonas V. Schaefer ◽  
Christoph E. Dumelin
Keyword(s):  
Drug Discovery ◽  
Cyclic Peptides ◽  
Chemical Space ◽  
Pharmaceutical Research ◽  
Peptide Libraries ◽  
Assay Development ◽  
Low Molecular Weight ◽  
Target Validation ◽  
Lead Finding ◽  
Chemical Matter

The scope of targets investigated in pharmaceutical research is continuously moving into uncharted territory. Consequently, finding suitable chemical matter with current compound collections is proving increasingly difficult. Encoded library technologies enable the rapid exploration of large chemical space for the identification of ligands for such targets. These binders facilitate drug discovery projects both as tools for target validation, structural elucidation and assay development as well as starting points for medicinal chemistry. Novartis internalized two complementing encoded library platforms to accelerate the initiation of its drug discovery programs. For the identification of low-molecular weight ligands, we apply DNA-encoded libraries. In addition, encoded peptide libraries are employed to identify cyclic peptides. This review discusses how we apply these two platforms in our research and why we consider it beneficial to run both pipelines in-house.

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