Using literature-based discovery to identify novel therapeutic approaches

Area of Science:

• Biomedical Informatics
• Pharmacology
• Computational Biology

Background:

• The vast biomedical literature contains untapped potential for drug discovery.
• Traditional drug discovery methods can be time-consuming and expensive.
• Integrating literature analysis with knowledge resources can accelerate hypothesis generation.

Purpose of the Study:

• To introduce and describe the literature-based discovery (LBD) paradigm.
• To highlight LBD's potential in identifying novel pharmacologic treatments.
• To explore LBD's application in drug target discovery and drug repurposing.

Main Methods:

• Analyzing the biomedical literature, primarily MEDLINE.
• Utilizing supplementary knowledge resources like ontologies and databases.
• Employing two LBD variants: open discovery (new treatments/applications) and closed discovery (mechanism explanation).

Main Results:

• LBD can generate novel hypotheses for disease treatment.
• Examples demonstrate LBD's success in identifying new therapeutic strategies.
• LBD tools and methodologies are discussed, including available and past resources.

Conclusions:

• Literature-based discovery is a potent paradigm complementing traditional drug discovery.
• LBD shows significant potential for identifying drug targets.
• LBD is effective for repurposing existing drugs for new indications.