Publication:

On the origin and highly likely completeness of single-domain protein structures

Loading...
Thumbnail Image

Date

2006

Published Version

Journal Title

Journal ISSN

Volume Title

Publisher

Proceedings of the National Academy of Sciences
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Zhang, Y., I. A. Hubner, A. K. Arakaki, E. Shakhnovich, and J. Skolnick. 2006. “On the Origin and Highly Likely Completeness of Single-Domain Protein Structures.” Proceedings of the National Academy of Sciences 103 (8) (February 14): 2605–2610. doi:10.1073/pnas.0509379103.

Abstract

The size and origin of the protein fold universe is of fundamental and practical importance. Analyzing randomly generated, compact sticky homopolypeptide conformations constructed in generic simplified and all-atom protein models, all have similar folds in the library of solved structures, the Protein Data Bank, and conversely, all compact, single-domain protein structures in the Protein Data Bank have structural analogues in the compact model set. Thus, both sets are highly likely complete, with the protein fold universe arising from compact conformations of hydrogen-bonded, secondary structures. Because side chains are represented by their Cβ atoms, these results also suggest that the observed protein folds are insensitive to the details of side-chain packing. Sequence specificity enters both in fine-tuning the structure and thermodynamically stabilizing a given fold with respect to the set of alternatives. Scanning the models against a three-dimensional active-site library, close geometric matches are frequently found. Thus, the presence of active-site-like geometries also seems to be a consequence of the packing of compact, secondary structural elements. These results have significant implications for the evolution of protein structure and function.

Description

Other Available Sources

Research Data

Keywords

evolution, Protein Data Bank, protein folding, protein structure prediction

Terms of Use

Metadata Only

Endorsement

Review

Supplemented By

Related Stories