Identification of protein sequence homology by consensus template alignment

Area of Science:

• Structural Bioinformatics
• Computational Biology
• Protein Sequence Analysis

Background:

• Identifying structurally conserved regions in protein sequences is crucial for understanding protein function and evolution.
• Existing methods may not fully capture complex structural constraints within sequence data.

Purpose of the Study:

• To develop and validate a pattern-matching procedure for identifying structurally conserved regions in protein sequences.
• To impose general structural constraints on identified sequence patterns.

Main Methods:

• A template-fitting procedure was developed, using templates derived from known tertiary structures and refined with sequence alignments.
• Two large alignments of immunoglobulin variable and constant domain sequences were constructed.
• Templates representing conserved hydrophobicity patterns and general secondary structure predictions were generated.

Main Results:

• The method successfully generated templates reflecting conserved features, primarily hydrophobicity patterns associated with beta-structure.
• Templates could identify conserved features in known immunoglobulin and related sequences.
• The procedure demonstrated specificity by failing to identify patterns in non-immunoglobulin sequences.

Conclusions:

• The developed pattern-matching procedure effectively identifies structurally conserved regions in protein sequences.
• The template-based approach accurately captures features specific to immunoglobulin superfamilies.
• This method offers a valuable tool for structural bioinformatics and protein analysis.