cropPAL

cropPAL compiles annotated and predicted protein subcellular localization data for Hordeum vulgare (barley), Triticum aestivum (wheat), Oryza sativa (rice), and Zea mays (maize) to support analyses of plant cellular compartmentalization.

Key Features:

• Literature compilation: Aggregates data from more than 556 published studies across over 300 research institutes in over 30 countries.
• Experimental localization methods: Integrates empirical evidence from fluorescent protein tagging of live cells and mass spectrometry detection in subcellular purifications.
• Computational prediction methods: Includes predictions based on amino acid sequences and expression patterns.
• Pre-computed predictions: Provides eight pre-computed subcellular localization predictions for all protein sequences from the four crop species.
• Species coverage: Covers all protein sequences from Hordeum vulgare, Triticum aestivum, Oryza sativa, and Zea mays.
• Metadata: Associates detailed metadata with localization records to enable robust searches and analyses.

Scientific Applications:

• Plant cellular compartmentalization analysis: Enables study of subcellular networks within crop cells by providing integrated localization evidence.
• Protein localization annotation: Helps address gaps in annotation where over 80% of proteins in these crop genomes lack detailed subcellular localization in existing databases.
• Crop trait improvement and biotechnology: Supports research aimed at improving crop yield and quality and developing biotechnological solutions to agricultural challenges.
• Basic and applied research: Facilitates both fundamental studies of plant cell biology and applied agricultural research.

Methodology:

Computational predictions are generated from amino acid sequences and expression patterns, producing eight pre-computed subcellular localization predictions for all protein sequences from Hordeum vulgare, Triticum aestivum, Oryza sativa, and Zea mays.