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High-throughput Computational Structure-based Characterization of Protein Families: START Domains and Implications for Structural Genomics

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Specialty Genetics
Date 2010 Apr 13
PMID 20383749
Citations 3
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Abstract

SkyLine, a high-throughput homology modeling pipeline tool, detects and models true sequence homologs to a given protein structure. Structures and models are stored in SkyBase with links to computational function annotation, as calculated by MarkUs. The SkyLine/SkyBase/MarkUs technology represents a novel structure-based approach that is more objective and versatile than other protein classification resources. This structure-centric strategy provides a multi-dimensional organization and coverage of protein space at the levels of family, function, and genome. The concept of "modelability", the ability to model sequences on related structures, provides a reliable criterion for membership in a protein family ("leverage") and underlies the unique success of this approach. The overall procedure is illustrated by its application to START domains, which comprise a Biomedical Theme for the Northeast Structural Genomics Consortium as part of the Protein Structure Initiative. START domains are typically involved in the non-vesicular transport of lipids. While 19 experimentally determined structures are available, the family, whose evolutionary hierarchy is not well determined, is highly sequence diverse, and the ligand-binding potential of many family members is unknown. The SkyLine/SkyBase/MarkUs approach provides significant insights and predicts: (1) many more family members (approximately 4,000) than any other resource; (2) the function for a large number of unannotated proteins; (3) instances of START domains in genomes from which they were thought to be absent; and (4) the existence of two types of novel proteins, those containing dual START domain and those containing N-terminal START domains.

Citing Articles

The Lipid Transfer Protein StarD7: Structure, Function, and Regulation.

Flores-Martin J, Rena V, Angeletti S, Panzetta-Dutari G, Genti-Raimondi S Int J Mol Sci. 2013; 14(3):6170-86.

PMID: 23507753 PMC: 3634439. DOI: 10.3390/ijms14036170.


Using structure to explore the sequence alignment space of remote homologs.

Kuziemko A, Honig B, Petrey D PLoS Comput Biol. 2011; 7(10):e1002175.

PMID: 21998567 PMC: 3188491. DOI: 10.1371/journal.pcbi.1002175.


Genome-wide structural analysis reveals novel membrane binding properties of AP180 N-terminal homology (ANTH) domains.

Silkov A, Yoon Y, Lee H, Gokhale N, Adu-Gyamfi E, Stahelin R J Biol Chem. 2011; 286(39):34155-63.

PMID: 21828048 PMC: 3190782. DOI: 10.1074/jbc.M111.265611.

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