The project aims to facilitate the research and development of new drugs by exploring deep learning methods to process molecules and to generate new molecules. The deep learning models that will be experimented include few shot learning, generative adversarial network, and variational autoencoder. We would like to improve these methods specifically for pharmacological datasets, which […]

The efficiency of many chemical reactions is improved by addition of metal-based catalysts to the solution, however, the best of these catalysts are often based on some of the scarcest elements on the periodic table. The high costs of obtaining these elements makes catalysts based on ore Earth-abundant elements, but these base metals often do […]

Les granulocytes sont une première ligne de défense très efficace contre les infections. Lorsqu’ils sont en nombre insuffisant ou qu’ils se dérèglent, de graves infections peuvent survenir. La transfusion de granulocytes est alors toute indiquée pour les patients aux prises avec une infection sévère résistante aux traitements habituels. Toutefois, nous ne savons pas si ces […]

Non-alcoholic fatty liver diseases (NAFLD) is cause by accumulation of lipid droplets in liver. NAFLD is the starting point of liver disease and later develop into nonalcoholic steatohepatitis, cirrhosis and finally hepatocellular carcinoma. Since there is no specific therapeutics for NAFLD-related liver diseases, development of new drug for NAFLD/NASH is actively on-going. Recently, application of […]

Recent studies have demonstrated the efficacy of medical cannabis (MC) to treat certain conditions like chronic pain. However, surveys conducted before 2018 have revealed that physicians were more reluctant than patients to use MC. According to physicians, a major barrier to the use of MC was insufficient information. In this project, we want to describe […]

Artificial Intelligence is powered by data. In general, the predictive power of AI improves with higher data abundance and higher data quality. However, real-world datasets vary greatly in quality and quantity. In drug design, like many other tasks, there is an abundance of low quality data and scarcity of high quality data. This project will […]

The proposed project is for the postdoctoral fellow to access healthcare data for individual adults in the province of Manitoba in order to: 1) determine the rates of metabolic acidosis in Manitoba along with associated outcomes and risk factor profiles and 2) identify patients in Manitoba who are at high risk of Fabry disease but […]

The project aims to facilitate the research and development of new drugs by exploring Machine Learning methodology useful for both the generation of new molecules and the prediction of molecule properties. Doing so will involve training deep learning models on a large number of small, heterogeneous datasets, with the objective of transferring learned representations quickly […]

The project aims to facilitate the research and development of new drugs by exploring Machine Learning methodology useful for both the generation of new molecules and the prediction of molecule properties. Doing so will involve training deep learning models on a large number of small, heterogeneous datasets, with the objective of transferring learned representations quickly […]

Breast cancer is the most common cancer amongst women. Early detection through mammography and new breakthroughs in therapy have significantly improved the survival rate. Nonetheless, in Canada, approximately one in eight women diagnosed will not live past five years. The study of gangliosides is one avenue to improve prognosis. Found on the cellular membrane, gangliosides […]

Generative models enable the researchers to address multiple problems spanning from noise removal to generating novel samples with properties of the domain. Generative models are commonly studied for images and in this project the idea will be expanded to 3D structures or volumes. Single-particle cryo-electron microscopy (cryo-EM) is a technique to estimate accurate 3D structures […]

Molecules possessing a carbon-phosphorus bond (C-P) have traditionally been considered rare in Nature. For example, there are only ~50 phosphonate natural products known, although several have achieved commercial success (e.g. the antibiotic fosfomycin). In addition, several phosphonate cell surface modifications have been found over the last half century, but nothing is known regarding their biosynthesis […]