Skip to main content
Protein Science : A Publication of the Protein Society logoLink to Protein Science : A Publication of the Protein Society
. 1999 Feb;8(2):370–380. doi: 10.1110/ps.8.2.370

Estimation of the number of alpha-helical and beta-strand segments in proteins using circular dichroism spectroscopy.

N Sreerama 1, S Y Venyaminov 1, R W Woody 1
PMCID: PMC2144265  PMID: 10048330

Abstract

A simple approach to estimate the number of alpha-helical and beta-strand segments from protein circular dichroism spectra is described. The alpha-helix and beta-sheet conformations in globular protein structures, assigned by DSSP and STRIDE algorithms, were divided into regular and distorted fractions by considering a certain number of terminal residues in a given alpha-helix or beta-strand segment to be distorted. The resulting secondary structure fractions for 29 reference proteins were used in the analyses of circular dichroism spectra by the SELCON method. From the performance indices of the analyses, we determined that, on an average, four residues per alpha-helix and two residues per beta-strand may be considered distorted in proteins. The number of alpha-helical and beta-strand segments and their average length in a given protein were estimated from the fraction of distorted alpha-helix and beta-strand conformations determined from the analysis of circular dichroism spectra. The statistical test for the reference protein set shows the high reliability of such a classification of protein secondary structure. The method was used to analyze the circular dichroism spectra of four additional proteins and the predicted structural characteristics agree with the crystal structure data.

Full Text

The Full Text of this article is available as a PDF (170.7 KB).

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Bernstein F. C., Koetzle T. F., Williams G. J., Meyer E. F., Jr, Brice M. D., Rodgers J. R., Kennard O., Shimanouchi T., Tasumi M. The Protein Data Bank: a computer-based archival file for macromolecular structures. J Mol Biol. 1977 May 25;112(3):535–542. doi: 10.1016/s0022-2836(77)80200-3. [DOI] [PubMed] [Google Scholar]
  2. Brahms S., Brahms J. Determination of protein secondary structure in solution by vacuum ultraviolet circular dichroism. J Mol Biol. 1980 Apr;138(2):149–178. doi: 10.1016/0022-2836(80)90282-x. [DOI] [PubMed] [Google Scholar]
  3. Böhm G., Muhr R., Jaenicke R. Quantitative analysis of protein far UV circular dichroism spectra by neural networks. Protein Eng. 1992 Apr;5(3):191–195. doi: 10.1093/protein/5.3.191. [DOI] [PubMed] [Google Scholar]
  4. Carrara E. A., Gavotti C., Catasti P., Nozza F., Berutti Bergotto L. L., Nicolini C. A. Improvement of protein secondary structure prediction by combination of statistical algorithms and circular dichroism. Arch Biochem Biophys. 1992 Apr;294(1):107–114. doi: 10.1016/0003-9861(92)90143-k. [DOI] [PubMed] [Google Scholar]
  5. Chen Y. H., Yang J. T. A new approach to the calculation of secondary structures of globular proteins by optical rotatory dispersion and circular dichroism. Biochem Biophys Res Commun. 1971 Sep 17;44(6):1285–1291. doi: 10.1016/s0006-291x(71)80225-5. [DOI] [PubMed] [Google Scholar]
  6. Chen Y. H., Yang J. T., Chau K. H. Determination of the helix and beta form of proteins in aqueous solution by circular dichroism. Biochemistry. 1974 Jul 30;13(16):3350–3359. doi: 10.1021/bi00713a027. [DOI] [PubMed] [Google Scholar]
  7. Compton L. A., Johnson W. C., Jr Analysis of protein circular dichroism spectra for secondary structure using a simple matrix multiplication. Anal Biochem. 1986 May 15;155(1):155–167. doi: 10.1016/0003-2697(86)90241-1. [DOI] [PubMed] [Google Scholar]
  8. Elkins P., Bunker A., Cramer W. A., Stauffacher C. V. A mechanism for toxin insertion into membranes is suggested by the crystal structure of the channel-forming domain of colicin E1. Structure. 1997 Mar 15;5(3):443–458. doi: 10.1016/s0969-2126(97)00200-1. [DOI] [PubMed] [Google Scholar]
  9. Frishman D., Argos P. Knowledge-based protein secondary structure assignment. Proteins. 1995 Dec;23(4):566–579. doi: 10.1002/prot.340230412. [DOI] [PubMed] [Google Scholar]
  10. Garnier J., Osguthorpe D. J., Robson B. Analysis of the accuracy and implications of simple methods for predicting the secondary structure of globular proteins. J Mol Biol. 1978 Mar 25;120(1):97–120. doi: 10.1016/0022-2836(78)90297-8. [DOI] [PubMed] [Google Scholar]
  11. Greenfield N. J. Methods to estimate the conformation of proteins and polypeptides from circular dichroism data. Anal Biochem. 1996 Mar 1;235(1):1–10. doi: 10.1006/abio.1996.0084. [DOI] [PubMed] [Google Scholar]
  12. Greenfield N., Fasman G. D. Computed circular dichroism spectra for the evaluation of protein conformation. Biochemistry. 1969 Oct;8(10):4108–4116. doi: 10.1021/bi00838a031. [DOI] [PubMed] [Google Scholar]
  13. Hennessey J. P., Jr, Johnson W. C., Jr Information content in the circular dichroism of proteins. Biochemistry. 1981 Mar 3;20(5):1085–1094. doi: 10.1021/bi00508a007. [DOI] [PubMed] [Google Scholar]
  14. Kabsch W., Sander C. Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features. Biopolymers. 1983 Dec;22(12):2577–2637. doi: 10.1002/bip.360221211. [DOI] [PubMed] [Google Scholar]
  15. Kalnin N. N., Baikalov I. A., Venyaminov SYu Quantitative IR spectrophotometry of peptide compounds in water (H2O) solutions. III. Estimation of the protein secondary structure. Biopolymers. 1990;30(13-14):1273–1280. doi: 10.1002/bip.360301311. [DOI] [PubMed] [Google Scholar]
  16. Levitt M., Greer J. Automatic identification of secondary structure in globular proteins. J Mol Biol. 1977 Aug 5;114(2):181–239. doi: 10.1016/0022-2836(77)90207-8. [DOI] [PubMed] [Google Scholar]
  17. Manavalan P., Johnson W. C., Jr Variable selection method improves the prediction of protein secondary structure from circular dichroism spectra. Anal Biochem. 1987 Nov 15;167(1):76–85. doi: 10.1016/0003-2697(87)90135-7. [DOI] [PubMed] [Google Scholar]
  18. Manning M. C. Underlying assumptions in the estimation of secondary structure content in proteins by circular dichroism spectroscopy--a critical review. J Pharm Biomed Anal. 1989;7(10):1103–1119. doi: 10.1016/0731-7085(89)80049-4. [DOI] [PubMed] [Google Scholar]
  19. PAULING L., COREY R. B., BRANSON H. R. The structure of proteins; two hydrogen-bonded helical configurations of the polypeptide chain. Proc Natl Acad Sci U S A. 1951 Apr;37(4):205–211. doi: 10.1073/pnas.37.4.205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Pancoska P., Bitto E., Janota V., Keiderling T. A. Quantitative analysis of vibrational circular dichroism spectra of proteins. Problems and perspectives. Faraday Discuss. 1994;(99):287–310. doi: 10.1039/fd9949900287. [DOI] [PubMed] [Google Scholar]
  21. Pancoska P., Fabian H., Yoder G., Baumruk V., Keiderling T. A. Protein structural segments and their interconnections derived from optical spectra. Thermal unfolding of ribonuclease T1 as an example. Biochemistry. 1996 Oct 8;35(40):13094–13106. doi: 10.1021/bi961178u. [DOI] [PubMed] [Google Scholar]
  22. Pancoska P., Yasui S. C., Keiderling T. A. Statistical analyses of the vibrational circular dichroism of selected proteins and relationship to secondary structures. Biochemistry. 1991 May 21;30(20):5089–5103. doi: 10.1021/bi00234a036. [DOI] [PubMed] [Google Scholar]
  23. Provencher S. W., Glöckner J. Estimation of globular protein secondary structure from circular dichroism. Biochemistry. 1981 Jan 6;20(1):33–37. doi: 10.1021/bi00504a006. [DOI] [PubMed] [Google Scholar]
  24. Sklenar H., Etchebest C., Lavery R. Describing protein structure: a general algorithm yielding complete helicoidal parameters and a unique overall axis. Proteins. 1989;6(1):46–60. doi: 10.1002/prot.340060105. [DOI] [PubMed] [Google Scholar]
  25. Sreerama N., Woody R. W. A self-consistent method for the analysis of protein secondary structure from circular dichroism. Anal Biochem. 1993 Feb 15;209(1):32–44. doi: 10.1006/abio.1993.1079. [DOI] [PubMed] [Google Scholar]
  26. Sreerama N., Woody R. W. Poly(pro)II helices in globular proteins: identification and circular dichroic analysis. Biochemistry. 1994 Aug 23;33(33):10022–10025. doi: 10.1021/bi00199a028. [DOI] [PubMed] [Google Scholar]
  27. Sreerama N., Woody R. W. Protein secondary structure from circular dichroism spectroscopy. Combining variable selection principle and cluster analysis with neural network, ridge regression and self-consistent methods. J Mol Biol. 1994 Sep 30;242(4):497–507. doi: 10.1006/jmbi.1994.1597. [DOI] [PubMed] [Google Scholar]
  28. Venyaminov SYu, Baikalov I. A., Wu C. S., Yang J. T. Some problems of CD analyses of protein conformation. Anal Biochem. 1991 Nov 1;198(2):250–255. doi: 10.1016/0003-2697(91)90421-o. [DOI] [PubMed] [Google Scholar]
  29. Williams R. W. Estimation of protein secondary structure from the laser Raman amide I spectrum. J Mol Biol. 1983 Jun 5;166(4):581–603. doi: 10.1016/s0022-2836(83)80285-x. [DOI] [PubMed] [Google Scholar]
  30. Wilmot C. M., Thornton J. M. Beta-turns and their distortions: a proposed new nomenclature. Protein Eng. 1990 May;3(6):479–493. doi: 10.1093/protein/3.6.479. [DOI] [PubMed] [Google Scholar]
  31. van Stokkum I. H., Spoelder H. J., Bloemendal M., van Grondelle R., Groen F. C. Estimation of protein secondary structure and error analysis from circular dichroism spectra. Anal Biochem. 1990 Nov 15;191(1):110–118. doi: 10.1016/0003-2697(90)90396-q. [DOI] [PubMed] [Google Scholar]

Articles from Protein Science : A Publication of the Protein Society are provided here courtesy of The Protein Society

RESOURCES