Bioisostere Identification by Determining the Amino Acid Binding Preferences of Common Chemical Fragments

To assist in the structural optimization of hit/lead compounds during drug discovery, various computational approaches to identify potentially useful bioisosteric conversions have been reported. Here, the preference of chemical fragments to hydrogen bonds with specific amino acid residues was used to identify potential bioisosteric conversions. We first compiled a data set of chemical fragments frequently occurring in complex structures contained in the Protein Data Bank. We then used a computational approach to determine the amino acids to which these chemical fragments most frequently hydrogen bonded. The results of the frequency analysis were used to hierarchically cluster chemical fragments according to their amino acid preferences. The Euclid distance between amino acid preferences of chemical fragments for hydrogen bonding was then compared to MMP information in the ChEMBL database. To demonstrate the applicability of the approach for compound optimization, the similarity of amino acid preferences was used to identify known bioisosteric conversions of the epidermal growth factor receptor inhibitor gefitinib. The amino acid preference distance successfully detected bioisosteric fragments corresponding to the morpholine ring in gefitinib with a higher ROC score compared to those based on topological similarity of substituents and frequency of MMP in the ChEMBL database

Discovery of Novel Bicyclic Pyrazoles as Potent PIP5K1C Inhibitors

Phosphatidylinositol-4,5-bisphosphate (PI(4,5)P2) is generated by phosphatidylinositol 4-phosphate 5-kinases (PIP5Ks) from phosphatidylinositol 4-phosphate (PI4P). Structurally diverse and selective inhibitors against PIP5Ks are required to further elucidate the therapeutic potential for PIP5K inhibition, although the effects of PIP5K inhibition on various diseases and their symptoms, such as cancer and chronic pain, have been reported. Our medicinal chemistry efforts led to novel and potent PIP5K1C inhibitors. Compounds 30 and 33 not only showed potent activity but also demonstrated low total clearance in mice and high levels of kinase selectivity. These compounds might serve as tools to further elucidate the complex biology and therapeutic potential of PIP5K inhibition