structural signatures

structural signatures generates protein structural feature signatures from gene sets derived from transcriptomic and proteomic datasets of human cell lines and tissues to enable annotation, tissue-type prediction, drug–cell relationship characterization, and interpretation of single-cell RNA-sequencing states in cancer.

Key Features:

• Annotation and Analysis: Annotates and analyzes protein structural features from gene sets originating in transcriptomic and proteomic datasets.
• Database Access: Provides a database of structural features derived from normal and disease-associated human tissues and cell lines.
• Visualization and Downloading: Generates visualizations and exportable structural feature signatures for downstream analysis.

Scientific Applications:

• Tissue Type Prediction: Predicts tissue types by comparing structural feature signatures from tissue samples.
• Drug Relationship Characterization: Characterizes relationships between drugs and cellular responses by examining structural changes in drug-treated cell-line samples.
• Cancer Research: Analyzes single-cell RNA-sequencing data from lung cancer samples to relate distinct cellular states via protein structural features.

Methodology:

Integrates structural features of proteins and leverages that protein structures are often more conserved than sequences to reveal functional similarities and differences.