title: Dynamics based alignment of proteins: an alternative approach to quantify dynamic similarity.
abstract: BACKGROUND
  The dynamic motions of many proteins are central to their function. It therefore follows that the dynamic requirements of a protein are evolutionary constrained. In order to assess and quantify this, one needs to compare the dynamic motions of different proteins. Comparing the dynamics of distinct proteins may also provide insight into how protein motions are modified by variations in sequence and, consequently, by structure. The optimal way of comparing complex molecular motions is, however, far from trivial. The majority of comparative molecular dynamics studies performed to date relied upon prior sequence or structural alignment to define which residues were equivalent in 3-dimensional space.
  
  
  RESULTS
  Here we discuss an alternative methodology for comparative molecular dynamics that does not require any prior alignment information. We show it is possible to align proteins based solely on their dynamics and that we can use these dynamics-based alignments to quantify the dynamic similarity of proteins. Our method was tested on 10 representative members of the PDZ domain family.
  
  
  CONCLUSIONS
  As a result of creating pair-wise dynamics-based alignments of PDZ domains, we have found evolutionarily conserved patterns in their backbone dynamics. The dynamic similarity of PDZ domains is highly correlated with their structural similarity as calculated with Dali. However, significant differences in their dynamics can be detected indicating that sequence has a more refined role to play in protein dynamics than just dictating the overall fold. We suggest that the method should be generally applicable.
authors.affiliation: Structural Bioinformatics and Computational Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK.
authors.forename: Márton
authors.initials: M
authors.lastname: Münz
authors.forename: Rune
authors.initials: R
authors.lastname: Lyngsø
authors.forename: Jotun
authors.initials: J
authors.lastname: Hein
authors.forename: Philip C
authors.initials: PC
authors.lastname: Biggin
mesh_terms: D030562:Databases, Protein; D008958:Models, Molecular; D056004:Molecular Dynamics Simulation; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry*; D016415:Sequence Alignment / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods
chemical_list: D011506:Proteins
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