CITDBase

CITDBase catalogs reproductive tissue-specific genes, proteins, and ribonucleic acids (RNAs) to facilitate identification of targets for contraceptive and infertility research.

Key Features:

• Targeted Biological Entities: Includes proteins, genes, and RNAs linked to transcriptomic and proteomic evidence relevant to reproductive tissues.
• Disease-Specific Focus: Concentrates on target identification specifically for contraceptive and infertility treatments using reproductive tissue data.
• Data Integration Framework: Integrates existing transcriptomic and proteomic datasets into a centralized repository for target mining.
• Support for Drug Discovery: Provides data and evidence to inform early-stage discovery biology and target selection for reproductive health drug development.

Scientific Applications:

• Target Discovery and Prioritization: Identifies candidate targets in reproductive tissues for further validation in contraceptive and infertility therapeutic development.
• Evidence-Based Target Selection: Uses transcriptomic and proteomic data, including gene expression profiles and protein interactions, to evaluate target quality.

Methodology:

Integrates existing biological datasets into a centralized repository and analyzes gene expression profiles and protein interactions specific to reproductive tissues.