Towards context in large scale biomedical knowledge graphs. - Jens Dörpinghaus; Andreas Stefan; Bruce Schultz; Marc Jacobs 001 (CoRR, 2020)

COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology. - Daniel Domingo-Fernández; Shounak Baksi; Bruce Schultz; Yojana Gadiya; Reagon Karki; Tamara Raschka; Christian Ebeling; Martin Hofmann-Apitius; Alpha Tom Kodamullil (Bioinform., 2021)

Context mining and graph queries on giant biomedical knowledge graphs. - Jens Dörpinghaus; Andreas Stefan; Bruce Schultz; Marc Jacobs 001 (Knowl. Inf. Syst., 2022)

A hybrid approach unveils drug repurposing candidates targeting an Alzheimer pathophysiology mechanism. - Vanessa Lage-Rupprecht; Bruce Schultz; Justus Dick; Marcin Namysl; Andrea Zaliani; Stephan Gebel; Ole Pless; Jeanette Reinshagen; Bernhard Ellinger; Christian Ebeling; Alexander M. Esser; Marc Jacobs 001; et al. (Patterns, 2022)

A hybrid approach for identifying drug repurposing candidates and their mechanisms: An interview with Vanessa Lage-Rupprecht and two co-authors. - Vanessa Lage-Rupprecht; Bruce Schultz; Marcin Namysl (Patterns, 2022)

Common data model for COVID-19 datasets. - Philipp Wegner; Geena Mariya Jose; Vanessa Lage-Rupprecht; Sepehr Golriz Khatami; Bide Zhang; Stephan Springstubbe; Marc Jacobs 001; Thomas Linden; Cindy Ku; Bruce Schultz; Martin Hofmann-Apitius; Alpha Tom Kodamullil (Bioinform., 2022)

AI reveals insights into link between CD33 and cognitive impairment in Alzheimer's Disease. - Tamara Raschka; Meemansa Sood; Bruce Schultz; Aybuge Altay; Christian Ebeling; Holger Fröhlich (PLoS Comput. Biol., 2023)