Drug Repositioning by Mining Adverse Event Data in ClinicalTrials.gov

The protocol below describes an in silico method for drug repositioning (drug repurposing). The data source is ClinicalTrials.gov , which contains about a quarter of a million clinical studies. Mining such rich and clean clinical summary data could be helpful to many health-related researches. Described here is a method that utilizes serious adverse event data to identify potential new uses of drugs and dietary supplements (repositioning).

Medienart:

E-Artikel

Erscheinungsjahr:

2019

Erschienen:

2019

Enthalten in:

Zur Gesamtaufnahme - volume:1903

Enthalten in:

Methods in molecular biology (Clifton, N.J.) - 1903(2019) vom: 13., Seite 61-72

Sprache:

Englisch

Beteiligte Personen:

Su, Eric Wen [VerfasserIn]

Links:

Volltext

Themen:

Adverse event
ClinicalTrials.gov
Drug repositioning
Drug repurposing
I2E
Indication discovery
Journal Article
PolyAnalyst
Research Support, Non-U.S. Gov't
Text mining

Anmerkungen:

Date Completed 10.06.2019

Date Revised 13.06.2019

published: Print

Citation Status MEDLINE

doi:

10.1007/978-1-4939-8955-3_4

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM291773869