CysDB

CysDB consolidates human cysteine chemoproteomics data to provide a curated repository for assessing identification, ligandability (druggability), functional annotation, structural context, and disease-associated variation of cysteine residues across the human proteome.

Key Features:

• Extensive Coverage: Integrates data from nine high-coverage chemoproteomics studies, cataloging identification measures for 62,888 cysteines, representing 24% of human cysteine residues.
• Functional Annotations: Provides detailed annotations on cysteine functionality and ligandability/druggability.
• Disease Relevance and Genetic Variation: Includes information linking cysteine residues to disease relevance and genetic variants.
• Structural Features: Incorporates structural data to provide three-dimensional context for cysteine interactions and function.
• Cross-Study Analysis Capability: Enables integration and comparison of findings across multiple datasets for cross-study analyses.
• Dynamic Growth: Structured to incorporate additional datasets continually to expand characterization of the druggable cysteinome.

Scientific Applications:

• Drug discovery and target prioritization: Supports identification and prioritization of ligandable/druggable cysteine residues for small-molecule and covalent inhibitor development.
• Disease mechanism and variant interpretation: Enables analysis of disease-associated variants and the structural and functional context of cysteines to study disease mechanisms.
• Exploration of untargeted proteome space: Facilitates investigation of therapeutic targets within regions of the human proteome not addressed by existing FDA-approved small molecules.

Methodology:

Aggregates experimental quantitative chemoproteomics data derived from multiple high-coverage studies to capture identification, ligandability, functionality, structural characteristics, and disease-associated annotations of human cysteine residues.