For Training, Validation, and Independent Test Datasets

All three datasets share the same structure:

• Line 1: Protein ID - A unique identifier for each protein.
• Line 2: Protein Sequence - Encoded using 1-letter amino acid representation.
• Line 3: Annotations of Intrinsic Disorder Regions (IDR) - '1' indicates an IDR, '0' indicates a non-IDR.
• Line 4: Annotations of Disordered Protein-binding Regions (PB) - '1' indicates a PB, '0' indicates a non-PB.
• Line 5: Annotations of Disordered Nucleic Acid-binding Regions (NB) - '1' indicates a NB, '0' indicates a non-NB.
• Line 6: Annotations of Disordered Lipid-binding Regions (LB) - '1' indicates a LB, '0' indicates a non-LB.
• Line 7: Annotations of Disordered Ion-binding Regions (IB) - '1' indicates an IB, '0' indicates a non-IB.
• Line 8: Annotations of Disordered Small Molecule-binding Regions (SB) - '1' indicates a SB, '0' indicates a non-SB.
• Line 9: Annotations of Disordered Flexible Linkers (DFL) - '1' indicates a DFL, '0' indicates a non-DFL.

For CAID Datasets

All four datasets share the same structure:

• Line 1: Protein ID - A unique identifier for each protein.
• Line 2: Protein Sequence - Encoded using 1-letter amino acid representation.
• Line 3: Annotations of Disordered Binding Regions(BR)/Disordered Flexible Linkers(DFL) - '1' indicates a BR/DFL, '0' indicates a BR/DFL.

Reference

• Liang et al, Hybrid Deep Learning with Protein Language Models and Dual-Path Architecture for Predicting IDP Functions, submitted, 2025.

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