SKM

SKM integrates two complementary knowledge graphs to represent biochemical, signaling, and regulatory molecular interactions underlying plant stress responses.

Key Features:

• Dual knowledge graphs: Two complementary knowledge graphs encapsulate biochemical, signaling, and regulatory molecular interactions within plants, including the Plant Stress Signaling (PSS) model and a Comprehensive Knowledge Network.
• Plant Stress Signaling (PSS) model: A highly curated systems biology model formulated qualitatively and quantitatively comprising 543 reactions that represents plant stress signaling pathways.
• Comprehensive Knowledge Network: A large-scale network encompassing over 488,390 molecular interactions relevant to plant biology.
• Systematic curation: Both knowledge graphs were constructed by domain experts through systematic curation of scientific literature and database resources.

Scientific Applications:

• Investigation of plant stress responses: Provides detailed signaling and regulatory networks to analyze plant responses to various stressors.
• Hypothesis generation and experiment design: Enables systematic generation of hypotheses and the design of validation experiments based on curated network knowledge.
• Insight into experimental observations: Provides comprehensive network data to support interpretation and generation of new insights from experimental observations.

Methodology:

Integration of curated knowledge from scientific literature and database resources via systematic expert curation to construct the two knowledge graphs.