Library of disordered patterns in 3D protein structures.

Area of Science:

• * Molecular biology
• * Structural biology
• * Bioinformatics

Background:

• * Intrinsically disordered regions (IDRs) are crucial molecular recognition elements in cellular processes and signaling pathways.
• * Predicting the location of IDRs in protein chains is essential for understanding protein function.
• * IDRs are often invisible in X-ray structures, making their identification challenging.

Purpose of the Study:

• * To statistically analyze the distribution and characteristics of disordered residues in protein chains.
• * To identify and catalog recurring disordered patterns within protein structures.
• * To develop a predictive tool for determining residue order/disorder status.

Main Methods:

• * Statistical analysis of 34,464 unique protein chains from the Protein Data Bank (PDB).
• * Examination of residue disorder frequencies at N-termini, C-termini, and central protein regions.
• * Identification and cataloging of 109 distinct disordered patterns based on occurrence and sequence identity.

Main Results:

• * Approximately 4.95% of residues in the analyzed PDB database are disordered.
• * Significant differences were observed in the frequencies of disordered residues between protein termini and internal regions.
• * A library of 109 disordered patterns was established, with high fidelity for predicting disorder.

Conclusions:

• * Disordered residue distribution varies significantly across different regions of a protein.
• * The identified disordered patterns provide a valuable resource for predicting protein residue status.
• * This predictive capability aids in understanding protein function and cellular mechanisms.