Mutations in the gene, which encodes the lysosomal enzyme glucocerebrosidase (GCase), are associated with Gaucher disease and increased risk of Parkinson's disease. This study describes the discovery and characterization of novel allosteric pharmacological chaperones for GCase through an innovative computational approach combined with experimental validation. Utilizing virtual screening and structure-activity relationship optimization, researchers identified several compounds that significantly enhance GCase activity and stability across various cellular models, including patient-derived fibroblasts and neuronal cells harboring mutations.
View Article and Find Full Text PDFPurpose: The NCI-MATCH trial assigned patients with solid tumors, lymphomas, or multiple myeloma to targeted therapies on the basis of identified genetic alterations from tumor biopsies. In preclinical models, ()-inactivated tumors display sensitivity to focal adhesion kinase (FAK) inhibition. The EAY131-U subprotocol evaluated the efficacy of defactinib, a FAK inhibitor, in patients with -altered tumors.
View Article and Find Full Text PDFChlamydomonas reinhardtii is a green alga that has been widely used as a model organism for studying various cellular processes, including starch metabolism. In this alga, starch undergoes continuous phosphorylation during its synthesis and degradation. We recently identified and characterized ChlreSEX4 (starch excess 4), a glucan phosphatase from C.
View Article and Find Full Text PDFIn this study, we present a novel orientation discretization approach based on the rhombic triacontahedron for Monte Carlo simulations of semiflexible polymer chains, aiming at enhancing structural analysis through rheo-small-angle scattering (rheo-SAS). Our approach provides a more accurate representation of the geometric features of semiflexible chains under deformation, surpassing the capabilities of traditional lattice structures. Validation against the Kratky-Porod chain system demonstrated superior consistency, underscoring its potential to significantly improve the precision of uncovering geometric details from rheo-SAS data.
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