Izvorni znanstveni članak

Convex Constraint Decomposition of Circular Dichroism Curves of Proteins

Andras Perczel ; The Department of Organic Chemistry, L. Eotvos University, P.O.B. 325, H-1445 Budapest, Hungary
Miklos Hollosi ; The Department of Organic Chemistry, L. Eotvos University, P.O.B. 325, H-1445 Budapest, Hungary
Gabor Tusnady ; Mathematical Institute of the Hungarian Academy of Sciences, Budapest, Hungary
Gerald D. Fasman ; Graduate Department of Biochemistry, Brandeis University, Waltham, MA 02254

Sažetak

A new algorithm, called convex analysis, has been developed
to deduce the chiral contribution of the common secondary structures
directly from experimental circular dichroism (CD) curves
of a large number of proteins. The analysis is based on CD data
reported by Yang et aU Test runs were performed on sets of artificial
protein spectra created by the Monte Carlo technique using
poly-u-Iysine based component spectra. Application of the decomposition algorithm for the created sets of spectra resulted in
component spectra [B (2, i)] and weights [C (i, k)] with excellent
Pearson correlation coefficients (r).2 The algori thm, independent
of X-ray data, revealed that the CD spectrum of a given protein
is composed of at least four independent sources of chirality. Three
of the computed component curves show remarkable resemblance
to the CD spectra of known protein secondary structures. This
approach yields a significant improvement compared to the eigenvector analysis of Hennessey and Johnson." The new method is a useful tool not only in analyzing CD spectra but also in treating
other decomposition problems where an additivity constraint is
valid.

Ključne riječi

Hrčak ID:

175392

URI

https://hrcak.srce.hr/175392

Datum izdavanja:

30.6.1989.

Posjeta: 576 *