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Updated: Feb 28, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

On the relationship between residue structural environment and sequence conservation in proteins.

Jen-Wei Liu¹, Jau-Ji Lin^1,2,3, Chih-Wen Cheng¹

¹Institute of Bioinformatics and Systems Biology, National Chiao Tung University, HsinChu, Taiwan, Republic of China.

|June 10, 2017

Summary

Protein structure analysis reveals that Cα atoms alone can accurately predict residue sequence conservation. This finding simplifies identifying crucial residues for protein function and structure without needing complex atomic data.

Keywords:

Voronoi volume contact number residue conservation residue structural environment structure-evolution relationship weighted contact number

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Published on: July 16, 2017

Area of Science:

Structural biology
Bioinformatics
Evolutionary biology

Background:

Evolutionary conservation of residues is key to protein function and structure.
Sequence conservation analysis typically requires extensive homologous sequences.
Previous work linked sequence conservation to weighted contact number (WCN) using Cα positions.

Purpose of the Study:

To determine if Cα atomic positions are sufficient for analyzing residue environment and sequence conservation.
To compare the contribution of Cα atoms versus other protein substructures in predicting sequence conservation.

Main Methods:

Calculated weighted contact number (WCN) and other environmental measures using Cα positions.
Compared WCN and environmental measures derived from Cα atoms with those from all-atom, backbone, and side-chain substructures.
Quantified the overlapping contributions of different substructures to sequence conservation.

Main Results:

Cα atomic positions are largely equivalent to other substructures (all-atom, backbone, side-chain) in calculating residue environment measures.
High overlapping contributions (e.g., 87% for WCN between Cα and all-atom) were observed.
The structure-conservation relationship remains similar regardless of the substructure used.

Conclusions:

Cα atomic positions alone are adequate for reflecting sequence conservation at the residue level.
This simplifies the identification of evolutionarily important residues.
Future studies can leverage Cα-based analysis for efficient protein function and structure prediction.