The optimization of hit compounds into drug candidates is a pivotal phase in drug discovery but often hampered by cumbersome manual synthesis of derivatives. While automated organic molecule synthesis has enhanced efficiency, safety, and cost-effectiveness, achieving fully automated multistep synthesis remains a formidable challenge due to issues such as solvent and reagent incompatibilities and the accumulation of side-products. We herein demonstrate an automated solid-phase flow platform for synthesizing α-keto-amides and nitrile peptidomimetics, guided by docking simulations, to identify potent broad-spectrum antiviral leads.
View Article and Find Full Text PDFChronic myeloid leukemia (CML) is a myeloproliferative disease caused by bcr-abl1, a constitutively active tyrosine kinase fusion gene responsible for an abnormal proliferation of leukemic stem cells (LSCs). Inhibition of BCR-ABL1 kinase activity offers long-term relief to CML patients. However, for a proportion of them, BCR-ABL1 inhibition will become ineffective at treating the disease, and CML will progress to blast crisis (BC) CML with poor prognosis.
View Article and Find Full Text PDFClinically used BCR-ABL1 inhibitors for the treatment of chronic myeloid leukemia do not eliminate leukemic stem cells (LSC). It has been shown that MNK1 and 2 inhibitors prevent phosphorylation of eIF4E and eliminate the self-renewal capacity of LSCs. Herein, we describe the identification of novel dual MNK1 and 2 and BCR-ABL1 inhibitors, starting from the known kinase inhibitor 2.
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