title: Generation of a substructure library for the description and classification of protein secondary structure. I. Overview of the methods and results.
abstract: Protein secondary structure has been typically classified into four major classes--alpha-helices, extended strands, reverse turns, and loops. Available methods for secondary structure analysis utilize predefined structure templates to search for structural matches among proteins. By this approach a significant portion of a proteins backbone conformation is assigned to one of a limited number of conformations or, if unassigned, to random coil. To expand our ability to describe protein secondary structure, we have developed an algorithm that operates independently of a predefined structure template. The procedure uses two geometric descriptors, the linear distance and the backbone dihedral angle, to represent the conformation form the alpha-carbon coordinates. The algorithm functions by searching for conformationally equivalent, contiguous fragments without regard to secondary structural classification and is thus independent of the complexity of the backbone fold. The result is a library of conformationally equivalent structure fragments that exhibit some novel characteristics. The library contains features that reproduce the major secondary structure classes as well as defining conformations previously described only as random or undefined conformations. Additionally, the library defines several subclassifications of beta-strands. We present here a validation of this method and a presentation and discussion of the most significant results. In a second study, we report the results of application of this method to spectra-structure correlations in Fourier transform infrared spectroscopy.
authors.affiliation: Department of Physiology and Biophysics, Mount Sinai School of Medicine of the City University of New York, New York 10029.
authors.forename: S J
authors.initials: SJ
authors.lastname: Prestrelski
authors.forename: A L
authors.initials: AL
authors.lastname: Williams
authors.forename: M N
authors.initials: MN
authors.lastname: Liebman
mesh_terms: D000465:Algorithms; D000818:Animals; D016208:Databases, Factual; D005069:Evaluation Studies as Topic; D006801:Humans; D017433:Protein Structure, Secondary; D013698:Templates, Genetic