An omics perspective on drug target discovery platforms.

Area of Science:

• Biomedical Informatics
• Pharmacology
• Genomics

Background:

• Drug discovery begins with identifying disease-modifying targets.
• Manual literature review and database investigation are traditional, time-consuming methods.
• Omics technologies generate vast datasets, necessitating computational approaches for target identification.

Purpose of the Study:

• To survey and compare existing drug target discovery (DTD) platforms.
• To highlight the role of omics data in modern DTD.
• To provide an overview of omics technologies and data repositories relevant to DTD.

Main Methods:

• Review of scientific literature and biomedical databases.
• Analysis of over 30 existing drug target discovery (DTD) platforms.
• Description of omics technologies and associated data repositories.

Main Results:

• Over 30 DTD platforms are available, utilizing diverse data sources and omics knowledge.
• These platforms offer databases and interfaces to assist scientists in target identification and pre-evaluation.
• The study provides a comparative overview of popular DTD platforms.

Conclusions:

• Computational platforms are essential for efficiently identifying and ranking disease-relevant targets from large omics datasets.
• DTD platforms aid researchers in pre-evaluating target efficacy and potential side effects.
• Understanding omics technologies and data sources is vital for effective drug target discovery.