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Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regions., , , , , and . J. Cheminformatics, 15 (1): 107 (December 2023)Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk., , , , , , , , , and 9 other author(s). Data, 9 (2): 25 (2024)Ensembles of knowledge graph embedding models improve predictions for drug discovery., , , and . Briefings Bioinform., (2022)PEMT: a patent enrichment tool for drug discovery., , , and . Bioinform., (January 2023)COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology., , , , , , , , and . Bioinform., 37 (9): 1332-1334 (2021)SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data., , , , , and . Patterns, 3 (4): 100453 (2022)Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery., , , , , , , , , and . PLoS Comput. Biol., (2022)