Ginsenosides are the main ingredients of ginseng, which, in traditional Eastern medicine, has been claimed to have therapeutic values for many diseases. In order to verify the effects of ginseng that have been empirically observed, we utilized the reverse docking method to screen for target proteins that are linked to specific diseases. We constructed a target protein database including 1,078 proteins associated with various kinds of diseases, based on the Potential Drug Target Database, with an added list of kinase proteins. We screened 26 kinds of ginsenosides of this target protein database using docking. We found four potential target proteins for ginsenosides, based on docking scores. Implications of these "hit" targets are discussed. From this screening, we also found four targets linked to possible side effects and toxicities, based on docking scores. Our method and results can be helpful for finding new targets and developing new drugs from natural products.

We develop a docking protocol based on quantum mechanical/molecular mechanical calculations in which quantum mechanical energy is used as scoring. We test the protocol with three groups of examples with various binding site characteristics. The new docking method performs as well as or better than conventional docking methods in all three groups. In particular, for proteins with primarily hydrophobic binding sites, structural motifs with possible π-π interactions are often found and it is shown that these can be better modeled with quantum mechanical scoring docking than force field based methods. It seems that the new method performs in such cases to a great accuracy.

Efforts to emulate biological oligomers have given rise to a host of useful technologies, ranging from solid-phase peptide and nucleic acid synthesis to various peptidomimetic platforms. Herein we introduce a novel class of peptide-like oligomers called “peptidines” wherein each carbonyl O-atom within poly-N-alkyl glycine oligomers is replaced with a functionalized N-atom. Compared to peptoids or peptides, the presence of this amidine N-substituent in peptidines effectively doubles the number of diversification sites per monomeric unit, and can decrease their overall conformational flexibility. We have developed iterative solution- and solid-phase protocols for the straightforward assembly of peptidines containing diverse backbone and amidine substituents, derived from readily available primary and secondary amines. We have also performed crystallographic and computational studies, which demonstrate a strong preference for the trans (E) amidine geometry. Given their straightforward synthetic preparation and high functional group density, peptidines have the potential to serve as useful tools for library generation, peptide mimicry, and the identification of biologically active small molecules.

Jeong S, et al. Korean J Physiol Pharmacol. 2019 May;23(3):191-201. https://doi.org/10.4196/kjpp.2019.23.3.191