An exploration into CTEPH medications: Combining natural language processing, embedding learning, in vitro models, and real-world evidence for drug repurposing.

Abstract

Authors

• Daniel Steiert
  Laboratory of in vitro modeling systems of pulmonary and thrombotic diseases, Institute of Physiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
• Corey Wittig
  Laboratory of in vitro modeling systems of pulmonary and thrombotic diseases, Institute of Physiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
• Priyanka Banerjee
  Structural Bioinformatics Group, Institute for Physiology, Charité - University Medicine Berlin, Berlin, Germany ; Graduate School of Computational Systems Biology, Humboldt University of Berlin, Berlin, Germany.
• Robert Preissner
  Structural Bioinformatics Group, Institute for Physiology, Charité - University Medicine Berlin, Berlin, Germany ; Structural Bioinformatics Group, Experimental and Clinical Research Center (ECRC), Charité - University Medicine Berlin, Berlin, Germany ; BB3R - Berlin Brandenburg 3R Graduate School, Free University of Berlin, Berlin, Germany.
• Robert Szulcek
  Laboratory of in vitro modeling systems of pulmonary and thrombotic diseases, Institute of Physiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

Keywords

External Resources