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Defining clinical outcome pathways.
Korn, Daniel; Thieme, Andrew J; Alves, Vinicius M; Yeakey, Michael; Borba, Joyce V V B; Capuzzi, Stephen J; Fecho, Karamarie; Bizon, Chris; Edwards, Stephen W; Chirkova, Rada; Colvis, Christine M; Southall, Noel T; Austin, Christopher P; Muratov, Eugene N; Tropsha, Alexander.
  • Korn D; Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA; UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.
  • Thieme AJ; UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.
  • Alves VM; UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.
  • Yeakey M; Massachusetts College of Pharmacy and Health Sciences, Boston, MA, USA.
  • Borba JVVB; UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.
  • Capuzzi SJ; UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.
  • Fecho K; Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA.
  • Bizon C; Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA.
  • Edwards SW; RTI International, Research Triangle Park, NC, USA.
  • Chirkova R; Department of Computer Science, North Carolina State University, Raleigh, NC, USA.
  • Colvis CM; National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA.
  • Southall NT; Department of Computer Science, North Carolina State University, Raleigh, NC, USA.
  • Austin CP; Department of Computer Science, North Carolina State University, Raleigh, NC, USA.
  • Muratov EN; UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA. Electronic address: murik@email.unc.edu.
  • Tropsha A; UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA. Electronic address: alex_tropsha@unc.edu.
Drug Discov Today ; 27(6): 1671-1678, 2022 06.
Article in English | MEDLINE | ID: covidwho-1693696
ABSTRACT
Here, we propose a broad concept of 'Clinical Outcome Pathways' (COPs), which are defined as a series of key molecular and cellular events that underlie therapeutic effects of drug molecules. We formalize COPs as a chain of the following events molecular initiating event (MIE) â†’ intermediate event(s) â†’ clinical outcome. We illustrate the concept with COP examples both for primary and alternative (i.e., drug repurposing) therapeutic applications. We also describe the elucidation of COPs for several drugs of interest using the publicly accessible Reasoning Over Biomedical Objects linked in Knowledge-Oriented Pathways (ROBOKOP) biomedical knowledge graph-mining tool. We propose that broader use of COP uncovered with the help of biomedical knowledge graph mining will likely accelerate drug discovery and repurposing efforts.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Knowledge Bases / Drug Repositioning Type of study: Prognostic study Language: English Journal: Drug Discov Today Journal subject: Pharmacology / Drug Therapy Year: 2022 Document Type: Article Affiliation country: J.drudis.2022.02.008

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Knowledge Bases / Drug Repositioning Type of study: Prognostic study Language: English Journal: Drug Discov Today Journal subject: Pharmacology / Drug Therapy Year: 2022 Document Type: Article Affiliation country: J.drudis.2022.02.008