Validation of Machine Learning-assisted Screening of PKC Ligands: PKC Binding Affinity and Activation.

Protein kinase C (PKC) is a family of serine/threonine kinases, and PKC ligands have the potential to be therapeutic seeds for cancer, Alzheimer's disease, and human immunodeficiency virus infection. However, in addition to desired therapeutic effects, most PKC ligands also exhibit undesirable pro-inflammatory effects. The discovery of new scaffolds for PKC ligands is important for developing less inflammatory PKC ligands, such as bryostatins.

Synthesis of Stereoisomeric Simplified Analogs of Alotaketals toward the Elucidation of the Structural Requirements of Protein Kinase C Isozyme-Selective Binding.

A set of four stereoisomeric compounds were designed and synthesized as ligands of protein kinase C (PKC). The compounds were simplified analogs of the alotaketals, a class of natural products that were predicted to be ligands of PKC by computational screening. Bioassays revealed that the orientation of the alkyl side chain of the analogs was important for PKC binding and that the stereochemistry of the fused ring moiety influenced the PKC isozyme selectivity.