Establishing comprehensive quaternary structural proteomes from genome sequence.

Area of Science:

• Structural biology
• Computational biology
• Genomics

Background:

• Advances in protein microscopy and computational methods have revealed multi-subunit protein structures.
• A unified platform is needed to map data onto these structures for genome-scale analysis.

Purpose of the Study:

• To develop QSPACE, a computational platform for annotating quaternary structural proteomes.
• To map actionable data, such as mutations, onto protein structures and determine subcellular localization.

Main Methods:

• QSPACE evaluates resources to find the best protein structures.
• It maps 3D locations of mutations and active sites onto structures.
• Third-party APIs determine subcellular compartments for all amino acids.

Main Results:

• QSPACE was used to generate the quaternary structural proteome of E. coli K-12 MG1655.
• The platform can predict mutation severity using Random Forest classifiers.
• It integrates with genome-scale models to determine spatial proteome allocation.

Conclusions:

• QSPACE provides a genome-scale annotation of quaternary structural proteomes.
• This enables a molecular-level understanding of whole-cell functions.
• The platform facilitates large-scale mutant analysis and genome-scale modeling.