Herein, we propose a de novo direct inverse quantitative structure-property relationship/quantitative structure-activity relationship (QSPR/QSAR) analysis method, based on the chemical variational autoencoder (VAE) and Gaussian mixture regression (GMR) models, to generate molecules with the desired target variables of interest for properties and activities (). A data set of molecules was analyzed, and an encoder was used to transform the simplified molecular input line entry system (SMILES) strings to latent variables (), while a decoder was used to transform to SMILES strings. A chemical VAE model was used for analysis and a GMR model (between and ) was constructed for direct inverse analysis.
View Article and Find Full Text PDFWe report a 34-year-old woman with recurrent gestational trophoblastic neoplasia (GTN) who showed hypersensitivity to etoposide. Computed tomography (CT) revealed a 32-mm solid mass in the right lung and a 101-mm cystic mass with solid components in the left side of the liver. The patient's serum human chorionic gonadotropin (HCG) level was 689 439 mIU/mL.
View Article and Find Full Text PDFPregabalin is widely used as an analgesic for the treatment of neuropathic pain. In the present experiments using mouse spinal slices, we recorded electrically evoked glutamatergic excitatory postsynaptic currents (eEPSCs) from superficial dorsal horn neurons. Pregabalin reduced the amplitude of eEPSCs, and increased the paired pulse ratio.
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