THE-DB: a threading model database for comparative protein structure analysis of the E. coli K12 and human proteomes

Area of Science:

• Structural bioinformatics
• Computational biology
• Genomics

Background:

• The number of known amino acid sequences significantly outnumbers experimentally determined protein structures.
• Existing methods struggle to model proteins lacking close structural homologs (<30% sequence identity).
• Protein threading aims to identify structural templates using sequence and structural features, but recognition of distant homologs remains challenging.

Purpose of the Study:

• To develop a new methodology for characterizing amino acid sequences and identifying structural templates.
• To investigate attributes enabling the matching of query sequences to correct, distantly homologous templates.
• To provide a valuable resource for the biological community with genome-scale protein structure data.

Main Methods:

• Development of the THE-DB (Threading Hard and Easy protein database).
• Utilizing state-of-the-art protein threading algorithms.
• Analysis of over 15,000 query sequences from Escherichia coli (E. coli) K12 and human proteomes.

Main Results:

• THE-DB enables analysis of a large number of protein sequences.
• It facilitates the identification of three-dimensional structural templates for sequences lacking close homologs.
• The database provides data not feasible with existing protein template databases.

Conclusions:

• THE-DB is a valuable resource for protein structure modeling and analysis.
• It addresses the challenge of modeling proteins with distant or no detectable homology.
• The database supports broader research in structural bioinformatics and genomics.