- Poster presentation
- Open Access
Structure and function analysis of flexible alignment regions in proteins
BMC Bioinformaticsvolume 10, Article number: P6 (2009)
Protein structural alignment plays a key role in defining gold standards for a variety of bioinformatics applications. These include homology assessment, phylogenetic tree construction and multiple sequence alignment evaluation. Our recent findings  however showed that superposition methods are rather sensitive to structural variation. To sidestep the problem of alignment variability, golden standards are often derived from the more conserved and 'trusted' regions. It therefore remains unclear which structural elements characterize alignment variability and what functional information these discarded flexible regions entail.
In this study we shed more light on the structural features and functional importance associated with flexible alignment regions. We observe that helices and coils constitute the main source of alignment variability (around 60% and 30%, respectively), while strands appear to be more robust (see Figure 1A). Additional alignment inspection shows that many secondary structure elements are not consistently aligned thus giving rise to mismatches between secondary structure types. Functional investigation using Prosite  reveals that roughly 20% of all flexible alignment positions correspond to functional sites (see Figure 1B), similar to stably aligned regions. Interestingly, post-translational modification sites are strongly represented and particularly phosphorylation sites are prominent. It is therefore unwarranted to assume that these flexible regions only play a minor role in protein function. An example of how the alignment of structural motifs can be impacted by tiny structural variations is given by Figure 2, which shows the alignment between a Glutaminyl-tRNA synthetase and a Caspase-8.
Our results imply that the current 'gold' standard status of structural alignment should be considered 'silver'. Particularly our observation that helices are associated with flexible alignment regions is at odds with currently used alignment strategies. Moreover, given that functional importance is spread evenly between stably and flexibly aligned regions, we conclude that flexible regions cannot be excluded from analysis of functionality in proteins. In order to explore new strategies for homology detection, phylogeny and alignment we propose that, as a first step, more golden standards be developed that can more comprehensively represent the structural, functional and evolutionary signals.
Pirovano W, Feenstra KA, Heringa J: The meaning of alignment: lessons from structural diversity. BMC Bioinformatics 2008, 9: 556. 10.1186/1471-2105-9-556
Holm L, Park J: DaliLite workbench for protein structure comparison. Bioinformatics 2000, 16: 566–567. 10.1093/bioinformatics/16.6.566
De Castro E, Sigrist CJA, Gattiker A, Bulliard V, Langendijk-Genevaux PS, Gasteiger E, Bairoch A, Hulo N: ScanProsite: detection of PROSITE signature matches and ProRule-associated functional and structural residues in proteins. Nucleic Acids Res 2006, 34: W362–365. 10.1093/nar/gkl124
Kaplan W, Littlejohn TG: Swiss-PDB Viewer (Deep View). Brief Bioinform 2001, 2: 195–197. 10.1093/bib/2.2.195
Persistence of Vision (TM) Raytracer[http://www.povray.org]
Financial support for this project was provided by the Netherlands Bioinformatics Centre, BioRange Bioinformatics research programme SP 3.2.2.