Circular-dichroic properties and secondary structure of Pseudomonas aeruginosa soluble cytochrome c oxidase.

The c.d. spectra of Pseudomonas aeruginosa cytochrome c oxidase in the oxidized state and the reduced state are reported in the visible- and u.

Stopped-flow solution scattering using synchrotron radiation: apparatus, data collection and data analysis.

We have constructed an experimental system, under remote control, for stopped-flow X-ray scattering using synchrotron radiation. It has been used, in conjunction with an annular detector and its associated electronics, to obtain good scattering curves, with time-slices as short as 200 ms, in a new study of the dissociation of the enzyme complex aspartate transcarbamylase. The data have been analysed by new statistical methods, and they agree well with the results from parallel chemical quench experiments.

Estimation of globular protein secondary structure from circular dichroism.

A new method is developed in which a circular dichroism (CD) spectrum is analyzed directly as a linear combination of the CD spectra (from 190 to 240 nm) of 16 proteins whose secondary structures are known from X-ray crystallography. This avoids the dilemma encountered in previous methods of trying to define single reference CD spectra that were supposed to characterize such broad and variable classes as helix, beta sheet, beta turn, and "remainder". It also permits a more accurate and flexible analysis.

Direct analysis of continuous relaxation spectra.

The dynamic response of a complex biological or chemical system to a perturbation must often be described by an integral over an effectively continuous relaxation spectrum. Because of its well known instability to experimental error, the direct estimation of the spectrum is generally considered unfeasible. However, we show that good estimates can be obtained by constraining the spectrum to be the smoothest one that is consistent with the data.

A Fourier method for the analysis of exponential decay curves.

A method based on the Fourier convolution theorem is developed for the analysis of data composed of random noise, plus an unknown constant "base line," plus a sum of (or an integral over a continuous spectrum of) exponential decay functions. The Fourier method's usual serious practical limitation of needing high accuracy data over a very wide range is eliminated by the introduction of convergence parameters and a Gaussian taper window. A computer program is described for the analysis of discrete spectra, where the data involves only a sum of exponentials.