Journal of Computer Science & Systems Biology

Konrad Mönks

Publications

• Research Article
  Mycophenolate Mofetil Associated Molecular Profiles and Diseases
  Author(s): Konrad Mönks, Andreas Bernthaler, Irmgard Mühlberger, Bernd Mayer, Rainer Oberbauer and Paul PercoKonrad Mönks, Andreas Bernthaler, Irmgard Mühlberger, Bernd Mayer, Rainer Oberbauer and Paul Perco
  
  Background: High-throughput Omics technologies aimed at characterizing the molecular profile of diseases together with massive scientific literature on drugs and clinical trials opened the way for matching molecular profiles and drug mode of action in the realm of drug repositioning. We developed a computational analysis workflow for linking molecular targets, drugs, and diseases, and exemplified this approach for the immunosuppressive drug mycophenolate mofetil (MMF). Methods and Results: We first established a molecular MMF footprint consisting of deregulated Omics features from two transcriptomics datasets as well as from molecular features associated with MMF based on literature search methods. This footprint, consisting of 170 unique features, was used to identify diseases of relevance to MMF in the scientific literature using Medical Subject Heading (MeSH) terms. A disease enr.. Read More»
  DOI: 10.4172/jcsb.1000068

  Abstract PDF