RNA methylation plays an important role in functional regulation of RNAs, and has thus attracted an increasing interest in biology and drug discovery. Here, we collected and collated transcriptomic, proteomic, structural and physical interaction data from the Harmonizome database, and applied supervised machine learning to predict novel genes associated with RNA methylation pathways in human. We selected five types of classifiers, which we trained and evaluated using cross-validation on multiple training sets.
View Article and Find Full Text PDFN-methyladenosine (mA) is an abundant internal RNA modification that is catalysed predominantly by the METTL3-METTL14 methyltransferase complex. The mA methyltransferase METTL3 has been linked to the initiation and maintenance of acute myeloid leukaemia (AML), but the potential of therapeutic applications targeting this enzyme remains unknown. Here we present the identification and characterization of STM2457, a highly potent and selective first-in-class catalytic inhibitor of METTL3, and a crystal structure of STM2457 in complex with METTL3-METTL14.
View Article and Find Full Text PDFA major cause of failed drug discovery programs is suboptimal target selection, resulting in the development of drug candidates that are potent inhibitors, but ineffective at treating the disease. In the genomics era, the availability of large biomedical datasets with genome-wide readouts has the potential to transform target selection and validation. In this study we investigate how computational intelligence methods can be applied to predict novel therapeutic targets in oncology.
View Article and Find Full Text PDFThe identification and hit-to-lead exploration of a novel, potent and selective series of histamine H(4) receptor inverse agonists is described. The initial hit, 3A (IC(50) 19 nM) was identified by means of a ligand-based virtual screening approach. Subsequent medicinal chemistry exploration yielded 18I which possessed increased potency (R-enantiomer IC(50) 1 nM) as well as enhanced microsomal stability.
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