title: An energetic representation of protein architecture that is independent of primary and secondary structure.
abstract: Protein fold classification often assumes that similarity in primary, secondary, or tertiary structure signifies a common evolutionary origin. However, when similarity is not obvious, it is sometimes difficult to conclude that particular proteins are completely unrelated. Clearly, a set of organizing principles that is independent of traditional classification could be valuable in linking different structural motifs and identifying common ancestry from seemingly disparate folds. Here, a four-dimensional ensemble-based energetic space spanned by a diverse set of proteins was defined and its characteristics were contrasted with those of Cartesian coordinate space. Eigenvector decomposition of this energetic space revealed the dominant physical processes contributing to the more or less stable regions of a protein. Unexpectedly, those processes were identical for proteins with different secondary structure content and were also identical among different amino-acid types. The implications of these results are twofold. First, it indicates that excited conformational states comprising the protein native state ensemble, largely invisible upon inspection of the high-resolution structure, are the major determinant of the energetic space. Second, it suggests that folds dissimilar in sequence or structure could nonetheless be energetically similar if their respective excited conformational states are considered, one example of which was observed in the N-terminal region of the Arc repressor switch mutant. Taken together, these results provide a surface area-based framework for understanding folds in energetic terms, a framework that may eventually yield a means of identifying common ancestry among structurally dissimilar proteins.
authors.affiliation: Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA.
authors.forename: Jason
authors.initials: J
authors.lastname: Vertrees
authors.forename: James O
authors.initials: JO
authors.lastname: Wrabl
authors.forename: Vincent J
authors.initials: VJ
authors.lastname: Hilser
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D000075982:Cell Adhesion Molecule-1; D015815:Cell Adhesion Molecules; D030562:Databases, Protein; D006801:Humans; D007136:Immunoglobulins / Q000737:chemistry; D008565:Membrane Proteins / Q000737:chemistry; D008956:Models, Chemical; D008958:Models, Molecular; D009154:Mutation; D025341:Principal Component Analysis; D011336:Probability; D011487:Protein Conformation; D017510:Protein Folding; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry*; D012997:Solvents / Q000737:chemistry; D013816:Thermodynamics; D025521:Tumor Suppressor Proteins / Q000737:chemistry; D014867:Water / Q000737:chemistry
chemical_list: C403514:CADM1 protein, human; D000075982:Cell Adhesion Molecule-1; D015815:Cell Adhesion Molecules; D007136:Immunoglobulins; D008565:Membrane Proteins; D011506:Proteins; D012997:Solvents; D025521:Tumor Suppressor Proteins; D014867:Water