Prioritizing the human genome: knowledge management for drug discovery

Area of Science:

• Genomics
• Bioinformatics
• Drug Discovery

Background:

• The Human Genome Project has generated vast amounts of genomic data.
• Identifying viable drug targets from this data is a significant challenge.
• Effective organization of genomic information is crucial for drug development.

Purpose of the Study:

• To review recent methods for prioritizing novel genes as drug targets.
• To emphasize the role of knowledge management in organizing genomic data for drug discovery.
• To highlight the importance of organization-specific knowledge management in bioinformatics infrastructure.

Main Methods:

• Review of recent literature on gene prioritization techniques.
• Analysis of knowledge management principles applied to bioinformatics.
• Discussion of strategies for creating manageable subsets of drug targets.

Main Results:

• Novel genes from the Human Genome Project can be prioritized for drug development.
• Genomic data organization is essential for creating drug discovery assets.
• Bioinformatics infrastructure should prioritize organization-specific knowledge management.

Conclusions:

• Prioritizing novel genes is a viable strategy for drug target identification.
• Knowledge management is a critical component of successful bioinformatics systems for drug discovery.
• Developing effective bioinformatics infrastructure requires a focus on organization-specific knowledge management.