3-Thio-3,4,5-trisubstituted-1,2,4-triazoles: high affinity somatostatin receptor-4 agonist synthesis and structure-activity relationships.

Somatostatin receptor-4 (SST) is a therapeutic target for several conditions, including Alzheimer's disease, seizures, neuropsychiatric disorders, and pain. Our previous work on 1,2,4-triazole derivatives led to enhanced SST binding affinity, selectivity, and functional activity. Herein we report the discovery of 3-thio-1,2,4-triazole series as selective and high affinity SST agonists.

Development of a Simple and Effective Lipid-A Antagonist Based on Computational Prediction.

Sepsis is a serious medical condition characterized by bacterial infection and a subsequent massive systemic inflammatory response. In an effort to identify compounds that block lipopolysaccharide (LPS)-induced inflammation reported herein is the development of simple Lipid-A analogues that lack a disaccharide core yet still possess potent antagonistic activity against LPS. The structure of the new lead compound was developed based on predictive computational experiments.

Synthesis and structure-activity relationships of 3,4,5-trisubstituted-1,2,4-triazoles: high affinity and selective somatostatin receptor-4 agonists for Alzheimer's disease treatment.

Somatostatin receptor-4 (SST) is highly expressed in brain regions affiliated with learning and memory. SST agonist treatment may act to mitigate Alzheimer's disease (AD) pathology. An integrated approach to SST agonist lead optimization is presented herein.

Decoding Protein-protein Interactions: An Overview.

Drug discovery has focused on the paradigm "one drug, one target" for a long time. However, small molecules can act at multiple macromolecular targets, which serves as the basis for drug repurposing. In an effort to expand the target space, and given advances in X-ray crystallography, protein-protein interactions have become an emerging focus area of drug discovery enterprises.

The compromise of virtual screening and its impact on drug discovery.

: Docking and structure-based virtual screening (VS) have been standard approaches in structure-based design for over two decades. However, our understanding of the limitations, potential, and strength of these techniques has enhanced, raising expectations. : Based on a survey of reports in the past five years, we assess whether VS: (1) predicts binding poses in agreement with crystallographic data (when available); (2) is a superior screening tool, as often claimed; (3) is successful in identifying chemical scaffolds that can be starting points for subsequent lead optimization cycles.