𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Determination of the secondary structures of proteins by circular dichroism spectra. Calculation of the protein basic circular dichroism spectra for antiparallel and parallel β-structures and β-bends

✍ Scribed by I. A. Bolotina; V. O. Chekhov; V. Yu. Lugauskas


Publisher
John Wiley and Sons
Year
1979
Tongue
English
Weight
344 KB
Volume
16
Category
Article
ISSN
0020-7608

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

New “reference” circular dichroism spectra of α helix, β‐structure (both parallel and antiparallel), β‐bends, and the unordered form are obtained from circular dichroism spectra and x‐ray data for six proteins (myoglobin, lysozyme, lactate dehydrogenase, papain, ribonuclease, and subtilisin BPN′). Circular dichroism spectra for α‐helix and antiparallel β‐structure are similar to those for poly(Llysine). The circular dichroism spectrum of the parallel β‐structure is qualitatively similar to that theoretically calculated by Madison and Schellman. The circular dichroism spectrum of β‐bends is qualitatively similar to that theoretically calculated by Woody. The spectrum of the unordered form is close to that of the denaturated proteins. These “reference” circular dichroism spectra used for the analysis of the secondary structure of ten globular proteins (besides the six reference proteins D‐glyceraldehyde 3‐phosphate dehydrogenase, concanavalin A, cytochrome c, and insulin).


📜 SIMILAR VOLUMES


Estimation of protein secondary structur
✍ Ivo H.M. van Stokkum; Hans J.W. Spoelder; Michael Bloemendal; Rienk van Grondell 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 1020 KB

The estimation of protein secondary structure from circular dichroism spectra is described by a multivariate linear model with noise (Gauss-Markoff model). With this formalism the adequacy of the linear model is investigated, paying special attention to the estimation of the error in the secondary s

Variable selection method improves the p
✍ Parthasarathy Manavalan; W.Curtis Johnson Jr. 📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 812 KB

A new procedure based on the statistical method of "variable selection" is used to predict the secondary structure of proteins from circular dichroism spectra. Variable selection adds the flexibility found in the Provencher and Glöckner method (S. W. Provencher and J. Glöckner, 1981, Biochemistry 20

Estimation of Protein Secondary Structur
✍ Narasimha Sreerama; Sergei Yu. Venyaminov; Robert W. Woody 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 87 KB

We have expanded our reference set of proteins used in the estimation of protein secondary structure by CD spectroscopy from 29 to 37 proteins by including 3 additional globular proteins with known X-ray structure and 5 denatured proteins. We have also modified the self-consistent method for analyzi

Vibrational Circular Dichroism Spectra o
✍ Bernoli I. Baello; Petr Pancoska; Timothy A. Keiderling 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 197 KB

Fourier-transform infrared (FT-ir), Raman, Vibrational circular dichroism (VCD) spectra have and vibrational CD (VCD) with secondary structure been measured for 23 globular proteins dissolved in (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19). Each approach has strengths and weak

An infrared and circular dichroism combi
✍ Ronald W. Sarver Jr.; William C. Krueger 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 595 KB

Selected regions of infarred (ir) and circular dichroism (CD) spectral data from 10 proteins were combined and analyzed by a factor analysis method. The regions consisted of the area normalized amide I region from 1700 to 1600 cm-1 for the ir spectra and from 178 to 240 nm for the CD spectra. Each C