Sequence physical properties encode the global organization of protein structure space

Area of Science:

• Biochemistry
• Structural Biology
• Bioinformatics

Background:

• Understanding the relationship between protein sequence and protein structure is fundamental in molecular biology.
• Protein structure space is complex, and its organization is typically studied using experimentally determined structures.

Purpose of the Study:

• To demonstrate that amino acid composition alone contains sufficient information to define global protein structure properties.
• To explore the organization of protein structure space using sequence-derived properties.

Main Methods:

• A numerical representation of amino acid sequences using property factors.
• Averaging property factor values over individual sequences and structurally defined groups.
• Analyzing the resulting 10-dimensional sequence property space.

Main Results:

• The organization of the 10-dimensional sequence property space mirrors the organization of experimentally determined protein structure space.
• This similarity holds true at both local and global scales.
• The findings are solely based on the inherent properties of amino acid sequences.

Conclusions:

• Amino acid composition is a powerful determinant of protein structure.
• A sequence-based approach can effectively delineate and represent protein structure space.
• This method offers a novel way to study protein structure without relying solely on 3D structural data.