Novel matrix descriptor for secondary structure segments in proteins: demonstration of predictability from circular dichroism spectra

DichroWeb, a website for calculating protein secondary structure from circular dichroism spectroscopic data

Circular dichroism (CD) spectroscopy is a widely‐used method for characterizing the secondary structures of proteins. The well‐established and highly used analysis website, DichroWeb (located at: http://dichroweb.cryst.bbk.ac.uk/html/home.shtml) enables the facile quantitative determination of helix, sheet, and other secondary structure contents of proteins based on their CD spectra. DichroWeb includes a range of reference datasets and algorithms, plus graphical and quantitative methods for determining the quality of the analyses produced. This article describes the current website content, usage and accessibility, as well as the many upgraded features now present in this highly popular tool that was originally created nearly two decades ago.

Circular-Dichroism and Synchrotron-Radiation Circular-Dichroism Spectroscopy as Tools to Monitor Protein Structure in a Lipid Environment

Circular-dichroism (CD) spectroscopy is a powerful tool for the secondary-structure analysis of proteins. The structural information obtained by CD does not have atomic-level resolution (unlike X-ray crystallography and NMR spectroscopy), but it has the great advantage of being applicable to both nonnative and native proteins in a wide range of solution conditions containing lipids and detergents. The development of synchrotron-radiation CD (SRCD) instruments has greatly expanded the utility of this method by extending the spectra to the vacuum-ultraviolet region below 190 nm and producing information that is unobtainable by conventional CD instruments. Combining SRCD data with bioinformatics provides new insight into the conformational changes of proteins in a membrane environment.

Synchrotron-radiation vacuum-ultraviolet circular dichroism spectroscopy in structural biology: an overview

Circular dichroism spectroscopy is widely used for analyzing the structures of chiral molecules, including biomolecules. Vacuum-ultraviolet circular dichroism (VUVCD) spectroscopy using synchrotron radiation can extend the short-wavelength limit into the vacuum-ultraviolet region (down to ~160 nm) to provide detailed and new information about the structures of biomolecules in combination with theoretical analysis and bioinformatics. The VUVCD spectra of saccharides can detect the high-energy transitions of chromophores such as hydroxy and acetal groups, disclosing the contributions of inter- or intramolecular hydrogen bonds to the equilibrium configuration of monosaccharides in aqueous solution. The roles of hydration in the fluctuation of the dihedral angles of carboxyl and amino groups of amino acids can be clarified by comparing the observed VUVCD spectra with those calculated theoretically. The VUVCD spectra of proteins markedly improves the accuracy of predicting the contents and number of segments of the secondary structures, and their amino acid sequences when combined with bioinformatics, for not only native but also nonnative and membrane-bound proteins. The VUVCD spectra of nucleic acids confirm the contributions of the base composition and sequence to the conformation in comparative analyses of synthetic poly-nucleotides composed of selected bases. This review surveys these recent applications of synchrotron-radiation VUVCD spectroscopy in structural biology, covering saccharides, amino acids, proteins, and nucleic acids.

Circular-dichroism and synchrotron-radiation circular-dichroism spectroscopy as tools to monitor protein structure in a lipid environment

Circular-dichroism (CD) spectroscopy is a powerful tool for the secondary-structure analysis of proteins. The structural information obtained by CD does not have atomic-level resolution (unlike X-ray crystallography and NMR spectroscopy), but it has the great advantage of being applicable to both nonnative and native proteins in a wide range of solution conditions containing lipids and detergents. The development of synchrotron-radiation CD (SRCD) instruments has greatly expanded the utility of this method by extending the spectra to the vacuum-ultraviolet region below 190 nm and producing information that is unobtainable by conventional CD instruments. Combining SRCD data with bioinformatics provides new insight into the conformational changes of proteins in a membrane environment.

The inherent flexibility of peptides and protein fragments quantitized by CD in conjunction with CCA+

ECD spectroscopy is traditionally used for rapid, non-atomic level structure analysis of natural products such as peptides and proteins. Unlike globular proteins, peptides less frequently adopt a single 3D-fold in a time average manner. Moreover, they exhibit an ensemble of conformers composed of a multitude of substantially different structures. In principle, both ECD- and vibrational circular dichroism (VCD)-spectroscopy are sensitive enough to pick up structural information on these dynamic ensembles. However, the interpretation of the raw spectral data of these highly dynamic molecular systems can be cumbersome. The herein presented Convex Constraint Analysis Plus method, or CCA+ for short (http://www.chem.elte.hu/departments/protnmr/cca/), provides a unique opportunity for spectral ensemble analysis of peptides, glycopeptides, peptidomimetics, and other foldamers. The precision and accuracy of the approach is presented here through different peptide model systems. An interesting temperature and pH dependent folding and unfolding of a miniprotein (e.g. Tc5b variant) is also described. Analysis of CD spectra sets strongly affected by solvent and ion type is also introduced to account for severe environmental-induced structure influencing effect(s). The deconvolution makes always possible the quantitative data analysis even when the interpretation of the deconvolution resulted in pure CD curves is complex.

Comprehensive secondary-structure analysis of disulfide variants of lysozyme by synchrotron-radiation vacuum-ultraviolet circular dichroism

To elucidate the effects of specific disulfide bridges (Cys6-Cys127, Cys30-Cys115, Cys64-Cys80, and Cys76-Cys94) on the secondary structure of hen lysozyme, the vacuum-ultraviolet circular dichroism (VUVCD) spectra of 13 species of disulfide-deficient variants in which Cys residues were replaced with Ala or Ser residues were measured down to 170 nm at pH 2.9 and 25 degrees C using a synchrotron-radiation VUVCD spectrophotometer. Each variant exhibited a VUVCD spectrum characteristic of a considerable amount of residual secondary structures depending on the positions and numbers of deleted disulfide bridges. The contents of alpha-helices, beta-strands, turns, and unordered structures were estimated with the SELCON3 program using the VUVCD spectra and PDB data of 31 reference proteins. The numbers of alpha-helix and beta-strand segments were also estimated from the VUVCD data. In general, the secondary structures were more effectively stabilized through entropic forces as the number of disulfide bridges increased and as they were formed over larger distances in the primary structure. The structures of three-disulfide variants were similar to that of the wild type, but other variants exhibited diminished alpha-helices with a border between the ordered and disordered structures around the two-disulfide variants. The sequences of the secondary structures were predicted for all the variants by combining VUVCD data with a neural-network method. These results revealed the characteristic role of each disulfide bridge in the formation of secondary structures.

Membrane-induced conformational change of alpha1-acid glycoprotein characterized by vacuum-ultraviolet circular dichroism spectroscopy

The tertiary structure of alpha1-acid glycoprotein (AGP) remains unresolved despite its novel function because AGP is a hard target in X-ray and NMR analyses. To elucidate the membrane-induced conformational change of AGP, the vacuum-ultraviolet circular dichroism (VUVCD) spectra of AGP and its constituent sugars were measured down to 160 nm in the presence or absence of phosphoglyceride liposome using a synchrotron-radiation VUVCD spectrophotometer. The secondary-structure contents and numbers of segments of AGP were estimated from the VUVCD spectra of the protein moiety obtained by subtracting the contributions of the glycan moiety. Further, the positions of secondary structures on the amino acid sequence were predicted by combining the VUVCD data with a neural network algorithm. These comprehensive secondary-structure analyses revealed that AGP consists of 11.4% alpha-helices (3 segments) and 39.9% beta-strands (12 segments) in the absence of liposome (pH 4.5), which are close to the proportions in the secondary structure of native AGP (pH 7.4) predicted by homology modeling, and that it consists of 47.5% alpha-helices (7 segments) and 2.7% beta-strands (2 segments) in the presence of liposome (pH 4.5). Detailed characterization of these alpha-helices of AGP bound to liposome suggested that two alpha-helices (residues 15-27 and 161-175) in the N- and C-terminal regions strongly interact with liposome. Most of the progesterone-binding residues of AGP were involved in the sequences transferring from beta-strands to alpha-helices or unordered structures, which coincided with the large decrease in progesterone-binding capacity of liposome-bound AGP. These results provide the first sequence-level information on the membrane-binding mechanism and structure-function relationship of AGP.

Protein secondary structure analyses from circular dichroism spectroscopy: methods and reference databases

Circular dichroism (CD) spectroscopy has been a valuable method for the analysis of protein secondary structures for many years. With the advent of synchrotron radiation circular dichroism (SRCD) and improvements in instrumentation for conventional CD, lower wavelength data are obtainable and the information content of the spectra increased. In addition, new computation and bioinformatics methods have been developed and new reference databases have been created, which greatly improve and facilitate the analyses of CD spectra. This article discusses recent developments in the analysis of protein secondary structures, including features of the DICHROWEB analysis webserver.

Mapping protein collapse with single-molecule fluorescence and kinetic synchrotron radiation circular dichroism spectroscopy

We have used the combination of single-molecule Förster resonance energy transfer and kinetic synchrotron radiation circular dichroism experiments to probe the conformational ensemble of the collapsed unfolded state of the small cold shock protein CspTm under near-native conditions. This regime is physiologically most relevant but difficult to access experimentally, because the equilibrium signal in ensemble experiments is dominated by folded molecules. Here, we avoid this problem in two ways. One is the use of single-molecule Förster resonance energy transfer, which allows the separation of folded and unfolded subpopulations at equilibrium and provides information on long-range intramolecular distance distributions. From experiments with donor and acceptor chromophores placed at different positions within the chain, we find that the distance distributions in unfolded CspTm agree surprisingly well with a Gaussian chain not only at high concentrations of denaturant, where the polypeptide chain is expanded, but also at low denaturant concentrations, where the chain is collapsed. The second, complementary approach is synchrotron radiation circular dichroism spectroscopy of collapsed unfolded molecules transiently populated with a microfluidic device that enables rapid mixing. The results indicate a beta-structure content of the collapsed unfolded state of approximately 20% compared with the folded protein. This suggests that collapse can induce secondary structure in an unfolded state without interfering with long-range distance distributions characteristic of a random coil, which were previously found only for highly expanded unfolded proteins.

Improved estimation of the secondary structures of proteins by vacuum-ultraviolet circular dichroism spectroscopy

The vacuum-ultraviolet circular dichroism (VUVCD) spectra of 16 globular proteins (insulin, lactate dehydrogenase, glucose isomerase, lipase, conalbumin, transferrin, catalase, subtilisin A, alpha-amylase, staphylococcal nuclease, papain, thioredoxin, carbonic anhydrase, elastase, avidin, and xylanase) were successfully measured in aqueous solutions at 25 degrees C from 260 to 160 nm under a high vacuum using a synchrotron-radiation VUVCD spectrophotometer. These proteins exhibited characteristic CD spectra below 190 nm that were related to their different secondary structures, which could not be detected with a conventional CD spectrophotometer. The component spectra of alpha-helices, beta-strands, turns, and unordered structures were obtained by deconvolution analysis of the VUVCD spectra of 31 reference proteins including the 15 proteins reported in our previous paper [Matsuo, K. et al. (2004) J. Biochem. 135, 405-411]. Prediction of the secondary-structure contents using the SELCON3 program was greatly improved, especially for alpha-helices, by extending the short-wavelength limit of CD spectra to 160 nm and by increasing the number of reference proteins. The numbers of alpha-helix and beta-strand segments, which were calculated from the distorted alpha-helix and beta-strand contents, were close to those obtained on X-ray crystallography. These results demonstrate the usefulness of synchrotron-radiation VUVCD spectroscopy for the secondary structure analysis of proteins.

Using artificially generated spectral data to improve protein secondary structure prediction from Fourier transform infrared spectra of proteins

Secondary structures of proteins have been predicted using neural networks from their Fourier transform infrared spectra. To improve the generalization ability of the neural networks, the training data set has been artificially increased by linear interpolation. The leave-one-out approach has been used to demonstrate the applicability of the method. Bayesian regularization has been used to train the neural networks and the predictions have been further improved by the maximum-likelihood estimation method. The networks have been tested and standard error of prediction (SEP) of 4.19% for alpha helix, 3.49% for beta sheet, and 3.15% for turns have been achieved. The results indicate that there is a significant decrease in the SEP for each type of structure parameter compared to previous works.

Protein and peptide secondary structure and conformational determination with vibrational circular dichroism

Vibrational circular dichroism (VCD) provides alternative views of protein and peptide conformation with advantages over electronic (UV) CD (ECD) or IR spectroscopy. VCD is sensitive to short-range order, allowing it to discriminate beta-sheet and various helices as well as disordered structure. Quantitative secondary structure analyses use protein VCD bandshapes, but are best combined with ECD and IR for balance. Much recent work has focused on empirical and theoretical VCD analyses of peptides, with detailed prediction of helix, sheet and hairpin spectra and site-specific application of isotopic substitution for structure and folding.

The architecture of parallel beta-helices and related folds

Three-dimensional structures have been determined of a large number of proteins characterized by a repetitive fold where each of the repeats (coils) supplies a strand to one or more parallel beta-sheets. Some of these proteins form superfamilies of proteins, which have probably arisen by divergent evolution from a common ancestor. The classical example is the family including four families of pectinases without obviously related primary sequences, the phage P22 tailspike endorhamnosidase, chrondroitinase B and possibly pertactin from Bordetella pertusis. These show extensive stacking of similar residues to give aliphatic, aromatic and polar stacks such as the asparagine ladder. This suggests that coils can be added or removed by duplication or deletion of the DNA corresponding to one or more coils and explains how homologous proteins can have different numbers of coils. This process can also account for the evolution of other families of proteins such as the beta-rolls, the leucine-rich repeat proteins, the hexapeptide repeat family, two separate families of beta-helical antifreeze proteins and the spiral folds. These families need not be related to each other but will share features such as relative untwisted beta-sheets, stacking of similar residues and turns between beta-strands of approximately 90 degrees often stabilized by hydrogen bonding along the direction of the parallel beta-helix.Repetitive folds present special problems in the comparison of structures but offer attractive targets for structure prediction. The stacking of similar residues on a flat parallel beta-sheet may account for the formation of amyloid with beta-strands at right-angles to the fibril axis from many unrelated peptides.

Calculating sequence-dependent melting stability of duplex DNA oligomers and multiplex sequence analysis by graphs

The analytical methods for characterizing DNA sequence-dependent thermodynamic stability have been reviewed. A set of n-n sequence stability parameters is presented. Examples in which these values are used to calculate the thermodynamic stability of short duplex DNA oligomers are presented. The problem of determining sets of isothermal sequences is addressed by representing DNA sequences as graphs. Representing DNA sequences by a graph descriptor with special mathematical properties minimizes the computational difficulty of determining the number of DNA sequences with identical predicted thermodynamic stability. This is achieved by replacement of a whole set of sequences by a single representative. Applications of this concept were demonstrated for sequences assembled from individual bases and sequences assembled from oligomeric blocks.

SOMCD: method for evaluating protein secondary structure from UV circular dichroism spectra

This article presents SOMCD, an improved method for the evaluation of protein secondary structure from circular dichroism spectra, based on Kohonen's self-organizing maps (SOM). Protein circular dichroism (CD) spectra are used to train a SOM, which arranges the spectra on a two-dimensional map. Location in the map reflects the secondary structure composition of a protein. With SOMCD, the prediction of beta-turn has been included. The number of spectra in the training set has been increased, and it now includes 39 protein spectra and 6 reference spectra. Finally, SOM parameters have been chosen to minimize distortion and make the network produce clusters with known properties. Estimation results show improvements compared with the previous version, K2D, which, in addition, estimated only three secondary structure components; the accuracy of the method is more uniform over the different secondary structures.