Variants of 3(10)-helices in proteins

An analysis of the shortest 3(10)-helices, containing three helical residues and two flanking capping residues that participate in two consecutive i + 3 --> i hydrogen bonds, shows that not all helices belong to the classic 3(10)-helix, where the three central residues adopt the right-handed helical conformation (alpha(R)). Three variants identified are: 3L10-helix with all residues in the left-handed helical region (alpha(L)), 3EL10-helix where the first residue is in the extended region followed by two residues in the alpha(L) conformation, and its mirror-image, the 3E'R10-helix. In the context of these helices, as well as the equivalent variants of alpha-helices, the length dependence of the handedness of secondary structures in protein structure is discussed. There are considerable differences in the amino acid preferences at different positions in the various types of 3(10)-helices. Each type of 3(10)-helix can be thought to be made up of an extension of a particular type of beta-turn (made up of residues i to i + 3) such that the (i + 3)th residue assumes the same conformation as the preceding residue. Distinct residue preferences at i and i + 3 positions seem to decide whether a particular stretch of four residues will be a beta-turn or a 3(10)-helix in the folded structure.     

Determination of secondary structure of globular proteins using circular dichroism spectra

A ridge regression method is presented for prediction of the secondary structure of proteins by the circular dichroism spectra (CD) from 190 to 236 nm. Eight types of the secondary structure were calculated on a microcalculator. The method is based on the X-ray data of Kabsh and Sander. The teaching rule is constructed on CD spectra of 30 proteins of all structural classes of the globular proteins (alpha, alpha/beta, alpha + beta and beta-proteins). The errors of the methods are analysed by removing each protein from the reference set and analyzing its structure in terms of the remaining proteins. Correlation coefficients and root-mean square deviations between CD and X-ray data were: 0.99 and 0.03 for alpha-helix, 0.86 and 0.02 for 3(10)-helix, 0.92 and 0.06 for antiparallel beta-sheet, 0.86 and 0.03 for parallel beta-sheet, 0.94 and 0.01 for T3 beta-turn, 0.85 and 0.02 for other beta-turn, 0.84 and 0.03 for S-bends, 0.83 and 0.04 for "random" structure.     

Analyzing protein circular dichroism spectra for accurate secondary structures.

We have developed an algorithm to analyze the circular dichroism of proteins for secondary structure. Its hallmark is tremendous flexibility in creating the basis set, and it also combines the ideas of many previous workers. We also present a new basis set containing the CD spectra of 22 proteins with secondary structures from high quality X-ray diffraction data. High flexibility is obtained by doing the analysis with a variable selection basis set of only eight proteins. Many variable selection basis sets fail to give a good analysis, but good analyses can be selected without any a priori knowledge by using the following criteria: (1) the sum of secondary structures should be close to 1.0, (2) no fraction of secondary structure should be less than -0.03, (3) the reconstructed CD spectrum should fit the original CD spectrum with only a small error, and (4) the fraction of alpha-helix should be similar to that obtained using all the proteins in the basis set. This algorithm gives a root mean square error for the predicted secondary structure for the proteins in the basis set of 3.3% for alpha-helix, 2.6% for 3(10)-helix, 4.2% for beta-strand, 4.2% for beta-turn, 2.7% for poly(L-proline) II type 3(1)-helix, and 5.1% for other structures when compared with the X-ray structure.     

Towards assignment of secondary structures by anti-peptide antibodies. Specificity of the immune response to a beta-turn.

In an attempt to assign secondary structure elements to protein primary structures with antibodies, we synthesized a model peptide (beta-peptide: TVTVTDPGQTVTY) with a putative beta-turn structure and analysed the anti-peptide antibodies for their specificity towards the turn sequence. At least 50% of the peptide fraction adopts the intended conformation of a beta-turn (DPGQ) inserted between the two segments of an antiparallel beta-sheet structure. The specific anti-beta-peptide antibodies of the hyperimmune response bind the beta-turn containing epitope of the immunogenic beta-peptide with a three orders of magnitude higher affinity than the synthetic control peptide (Gly-peptide: GGGGGDPGQGGGG). The affinity of the antibodies with specificity for the beta-turn region increases from the primary to the hyperimmune response. Therefore, probing of secondary structure elements, i.e., of individual beta-turn regions, by anti-peptide antibodies now seems feasible for proteins of known sequence and may result in sequence assignments of secondary structures.     

Peptide design: influence of a guest Aib-Pro segment on the stereochemistry of an oligo-val sequence--solution conformations and crystal structure of Boc-(Val)2-Aib-Pro-(Val)3-OMe

The peptide Boc-Val-Val-Aib-Pro-Val-Val-Val-OMe has been synthesized to investigate the effect of introduction of a strong beta-turn promoting guest segment into an oligopeptide with a tendency to form extended structures. 1H-nmr studies in solution using analysis of NH group solvent accessibility and nuclear Overhauser effects suggest an appreciable solvent dependence of conformations. In chloroform a 3(10)-helical structure is favored, while in dimethylsulfoxide an Aib-Pro beta-turn with extended arms on either side is suggested. In the crystal, the backbone forms a somewhat distorted 3(10)-helix despite the presence of a Pro residue in the middle. Among the four possible intrahelical hydrogen bonds three are of the 4----1 type and one 5----1. Head-to-tail NH...O = C hydrogen bonds link the helical molecules into continuous columns. The space group is P2(1)2(1)2(1) a = 11.320(2), b = 19.889(3), and c = 21.247(3) A.     

UV resonance Raman investigation of a 3(10)-helical peptide reveals a rough energy landscape

We used UVRRS at 194 and 204 nm excitation to examine the backbone conformation of a 13-residue polypeptide (gp41(659-671)) that has been shown by NMR to predominantly fold into a 3(10)-helix. Examination of the conformation sensitive AmIII(3) region indicates the peptide has significant populations of beta-turn, PPII, 3(10)-helix, and pi-helix-like conformations but little alpha-helix. We estimate that at 1 degree C on average six of the 12 peptide bonds are in folded conformations (predominantly 3(10)- and pi-helix), while the other six are in unfolded (beta-turn/PPII) conformations. The folded and unfolded populations do not change significantly as the temperature is increased from 1 to 60 degrees C, suggesting a unique energy landscape where the folded and unfolded conformations are essentially degenerate in energy and exhibit identical temperature dependences.     

The structural basis of compstatin activity examined by structure-function-based design of peptide analogs and NMR

We have previously identified compstatin, a 13-residue cyclic peptide, that inhibits complement activation by binding to C3 and preventing C3 cleavage to C3a and C3b. The structure of compstatin consists of a disulfide bridge and a type I beta-turn located at opposite sides to each other. The disulfide bridge is part of a hydrophobic cluster, and the beta-turn is part of a polar surface. We present the design of compstatin analogs in which we have introduced a series of perturbations in key structural elements of their parent peptide, compstatin. We have examined the consistency of the structures of the designed analogs compared with compstatin using NMR, and we have used the resulting structural information to make structure-complement inhibitory activity correlations. We propose the following. 1) Even in the absence of the disulfide bridge, a linear analog has a propensity for structure formation consistent with a turn of a 3(10)-helix or a beta-turn. 2) The type I beta-turn is a necessary but not a sufficient condition for activity. 3) Our substitutions outside the type I beta-turn of compstatin have altered the turn population but not the turn structure. 4) Flexibility of the beta-turn is essential for activity. 5) The type I beta-turn introduces reversibility and sufficiently separates the two sides of the peptide, whereas the disulfide bridge prevents the termini from drifting apart, thus aiding in the formation of the hydrophobic cluster. 6) The hydrophobic cluster at the linked termini is involved in binding to C3 and activity but alone is not sufficient for activity. 7) beta-Turn residues Gln(5) (Asn(5))-Asp(6)-Trp(7)(Phe(7))-Gly(8) are specific for the turn formation, but only Gln(5)(Asn(5))-Asp(6)-Trp(7)-Gly(8) residues are specific for activity. 8) Trp(7) is likely to be involved in direct interaction with C3, possibly through the formation of a hydrogen bond. Finally we propose a binding model for the C3-compstatin complex.     

Effect of D-amino acids at Asp23 and Ser26 residues on the conformational preference of Abeta20-29 peptides

The effects of d-amino acids at Asp(23) and Ser(26) residues on the conformational preference of beta-amyloid (Abeta) peptide fragment (Abeta(20-29)) have been studied using different spectroscopic techniques, namely vibrational circular dichroism (VCD), vibrational absorption, and electronic circular dichroism. To study the structure of the Abeta(20-29), [d-Asp(23)]Abeta(20-29), and [d-Ser(26)]Abeta(20-29) peptides under different conditions, the spectra were measured in 10mM acetate buffer (pH 3) and in 2,2,2-trifluoroethanol (TFE). The spectroscopic results indicated that at pH 3, Abeta(20-29) peptide takes random coil with beta-turn structure, while [d-Ser(26)]Abeta(20-29) peptide adopts significant amount of polyproline II (PPII) type structure along with beta-turn contribution and d-Asp-substituted peptide ([d-Asp(23)]Abeta(20-29)) adopts predominantly PPII type structure. The increased propensity for PPII conformation upon d-amino acid substitution, in acidic medium, has important biological implications. In TFE, Abeta(20-29), [d-Asp(23)]Abeta(20-29), and [d-Ser(26)]Abeta(20-29) peptides adopt 3(10)-helix, alpha-helix, and random coil with some beta-turn structures, respectively. The VCD data obtained for the Abeta peptide films suggested that the secondary structures for the peptide films are not the same as those for corresponding solution and are also different among the Abeta peptides studied here. This observation suggests that dehydration can have a significant influence on the structural preferences of these peptides.     

A microcomupter program for the computation of free energy of the secondary structure of RNA oligomers by Ninio's rules

An interactive microcomputer program for the rapid computation of the free (ΔG) of the secondary structure of RNA molecules is presented. The program assigns free energies (in kcal/mol) to helices; bulge, internal, and multi-branch loops; hairpins; unparied, and G:C termini according to Ninio's rules, and displays a running total during computation. It is written in ‘Microsoft Basic’ and is apllicable to virtually any Basic system with no modification. The program enables rapid bench-top determinations of free energies attributable to secondary structure features of RNA oligomers, and eliminates both the tedium and risk of error associated with manual calculations.     

A refined three-dimensional solution structure of a carboxy terminal fragment of apolipoprotein CII

The three-dimensional structure of a synthetic fragment of human apolipoprotein CII (apo-CII) in 35%, 1,1,1,3,3,3-hexafluoro-2-propanol (HFP) has been determined on the basis of distance and intensity constraints derived from two-dimensional proton nuclear magnetic resonance measurements. The NOE crosspeak build-up rates were converted to distance constraints which were used in the distance geometry program DIANA. A set of one hundred structures were generated and of these ten structures were used in molecular dynamics simulations using the program XPLOR. This program enabled a direct minimization between the difference of the two-dimensional NOE intensities and those calculated from the full relaxation matrix. In this way spin diffusion is fully taken into account, which can be seen from the considerable improvement of the R-factor after the relaxation matrix refinement. These calculations show that this fragment, which corresponds to the carboxy terminal 30 amino acids of intact apo-CII and which retains its ability to activate lipoprotein lipase, is essentially flexible, but has three defined secondary structural elements. The most significant one is an -helix between residues 67 and 74. The following three residues adopt a turn-like structure. Another turn of -helix is seen between residues 56 and 59. The effect of the solvent system on the secondary structure was studied by circular dichroism spectroscopy. The results show that the mixed aqueous 35% HFP solvent induces secondary structure of a very similar nature to the one induced by sodium dodecyl sulphate.Abbreviations Apo-CII Apolipoprotein CII - CD Circular Dichroism - DOPC 1,2-dioleoyl-sn-glycero-3-phosphocholine - DOPG 1,2-dioleoyl-sn-glycero-3-phosphoglycerol - HAc Acetic Acid - HFP 1,1,1,3,3,3-hexafluoro-2-propanol - ISPA Isolated Spin Pair Approximation - NMR Nuclear Magnetic Resonance - NOE Nuclear Overhauser Enhancement - NOESY Nuclear Overhauser Enhancement Spectroscopy - RMSD Root Mean Square Deviation - SDS Sodium Dodecyl Sulfate     

The effects of poly(ethylene glycol) on the solution structure of human serum albumin

Protein physical and chemical properties can be altered by polymer interaction. The presence of several high affinity binding sites on human serum albumin (HSA) makes it a possible target for many organic and polymer molecules. This study was designed to examine the interaction of HSA with poly(ethylene glycol) (PEG) in aqueous solution at physiological conditions. Fourier transform infrared, ultraviolet-visible, and CD spectroscopic methods were used to determine the polymer binding mode, the binding constant, and the effects of polymer complexation on protein secondary structure.The spectroscopic results showed that PEG is located along the polypeptide chains through H-bonding interactions with an overall affinity constant of K = 4.12 x 10(5) M(-1). The protein secondary structure showed no alterations at low PEG concentration (0.1 mM), whereas at high polymer content (1 mM), a reduction of alpha-helix from 59 (free HSA) to 53% and an increase of beta-turn from 11 (free HSA) to 22% occurred in the PEG-HSA complexes (infrared data). The CDSSTR program (CD data) also showed no major alterations of the protein secondary structure at low PEG concentrations (0.1 and 0.5 mM), while at high polymer content (1 mM), a major reduction of alpha-helix from 69 (free HSA) to 58% and an increase of beta-turn from 7 (free HSA) to 18% was observed.     

Solution structure of a K+-channel blocker from the scorpion Tityus cambridgei

A new K(+)-channel blocking peptide identified from the scorpion venom of Tityus cambridgei (Tc1) is composed of 23 amino acid residues linked with three disulfide bridges. Tc1 is the shortest known toxin from scorpion venom that recognizes the Shaker B K(+) channels and the voltage-dependent K(+) channels in the brain. Synthetic Tc1 was produced using solid-phase synthesis, and its activity was found to be the same as that of native Tc1. The pairings of three disulfide bridges in the synthetic Tc1 were identified by NMR experiments. The NMR solution structures of Tc1 were determined by simulated annealing and energy-minimization calculations using the X-PLOR program. The results showed that Tc1 contains an alpha-helix and a 3(10)-helix at N-terminal Gly(4)-Lys(10) and a double-stranded beta-sheet at Gly(13)-Ile(16) and Arg(19)-Tyr(23), with a type I' beta-turn at Asn(17)-Gly(18). Superposition of each structure with the best structure yielded an average root mean square deviation of 0.26 +/- 0.05 A for the backbone atoms and of 1.40 +/- 0.23 A for heavy atoms in residues 2 to 23. The three-dimensional structure of Tc1 was compared with two structurally and functionally related scorpion toxins, charybdotoxin (ChTx) and noxiustoxin (NTx). We concluded that the C-terminal structure is the most important region for the blocking activity of voltage-gated (Kv-type) channels for scorpion K(+)-channel blockers. We also found that some of the residues in the larger scorpion K(+)-channel blockers (31 to 40 amino acids) are not involved in K(+)-channel blocking activity.     

Prediction of the location and type of beta-turns in proteins using neural networks.

A neural network has been used to predict both the location and the type of beta-turns in a set of 300 nonhomologous protein domains. A substantial improvement in prediction accuracy compared with previous methods has been achieved by incorporating secondary structure information in the input data. The total percentage of residues correctly classified as beta-turn or not-beta-turn is around 75% with predicted secondary structure information. More significantly, the method gives a Matthews correlation coefficient (MCC) of around 0.35, compared with a typical MCC of around 0.20 using other beta-turn prediction methods. Our method also distinguishes the two most numerous and well-defined types of beta-turn, types I and II, with a significant level of accuracy (MCCs 0.22 and 0.26, respectively).     

Energy landscape of a peptide consisting of alpha-helix, 3(10)-helix, beta-turn, beta-hairpin, and other disordered conformations

The energy landscape of a peptide [Ace-Lys-Gln-Cys-Arg-Glu-Arg-Ala-Nme] in explicit water was studied with a multicanonical molecular dynamics simulation, and the AMBER parm96 force field was used for the energy calculation. The peptide was taken from the recognition helix of the DNA-binding protein, c-MYB: A rugged energy landscape was obtained, in which the random-coil conformations were dominant at room temperature. The CD spectra of the synthesized peptide revealed that it is in the random state at room temperature. However, the 300 K canonical ensemble, Q(300K), contained alpha-helix, 3(10)-helix, beta-turn, and beta-hairpin structures with small but notable probabilities of existence. The complete alpha-helix, imperfect alpha-helix, and random-coil conformations were separated from one another in the conformational space. This means that the peptide must overcome energy barriers to form the alpha-helix. The overcoming process may correspond to the hydrogen-bond rearrangements from peptide-water to peptide-peptide interactions. The beta-turn, imperfect 3(10)-helix, and beta-hairpin structures, among which there are no energy barriers at 300 K, were embedded in the ensemble of the random-coil conformations. Two types of beta-hairpin with different beta-turn regions were observed in Q(300K). The two beta-hairpin structures may have different mechanisms for the beta-hairpin formation. The current study proposes a scheme that the random state of this peptide consists of both ordered and disordered conformations. In contrast, the energy landscape obtained from the parm94 force field was funnel like, in which the peptide formed the helical conformation at room temperature and random coil at high temperature.     

An evaluation of beta-turn prediction methods

MOTIVATION: beta-turn is an important element of protein structure. In the past three decades, numerous beta-turn prediction methods have been developed based on various strategies. For a detailed discussion about the importance of beta-turns and a systematic introduction of the existing prediction algorithms for beta-turns and their types, please see a recent review (Chou, Analytical Biochemistry, 286, 1-16, 2000). However at present, it is still difficult to say which method is better than the other. This is because of the fact that these methods were developed on different sets of data. Thus, it is important to evaluate the performance of beta-turn prediction methods. RESULTS: We have evaluated the performance of six methods of beta-turn prediction. All the methods have been tested on a set of 426 non-homologous protein chains. It has been observed that the performance of the neural network based method, BTPRED, is significantly better than the statistical methods. One of the reasons for its better performance is that it utilizes the predicted secondary structure information. We have also trained, tested and evaluated the performance of all methods except BTPRED and GORBTURN, on new data set using a 7-fold cross-validation technique. There is a significant improvement in performance of all the methods when secondary structure information is incorporated. Moreover, after incorporating secondary structure information, the Sequence Coupled Model has yielded better results in predicting beta-turns as compared with other methods. In this study, both threshold dependent and independent (ROC) measures have been used for evaluation.     

Design, synthesis, and conformational analysis of eight-membered cyclic peptidomimetics prepared using ring closing metathesis

As part of a program to identify novel scaffolds that adopt defined secondary structure when incorporated into peptides, we have designed and prepared a library of constrained eight-membered ring lactams based upon 7-amino-8-oxo-1,2,3,6,7-pentahydroazocine-2-carboxylic acid. Ring closing metathesis (RCM) was employed as the key step, proceeding in high yields to afford the Z olefin. In this reaction sequence, the first generation benzylidene ruthenium RCM catalyst was superior to the second-generation imidazoline catalyst, which gave extensive oligomerization at higher concentrations. Conformational analysis of the 2S,7S and 2R,7S stereoisomers revealed that the 2R,7S isomer is a Type VIa beta-turn in the solid state (X-ray crystal structure) and in water (NMR analysis). The Type VIa beta-turn is relatively rare, typically bearing the cis amide bond found in proline-containing sequences. The 2S,7S diastereomer has an extended geometry of the pendent amide chains. The corresponding saturated derivatives (7-amino-8-oxoazocane-2-carboxylic acid) were also synthesized and investigated. The 2S,7S azocane bears an extended geometry and mimics the C(+) conformer of ox-[Cys-Cys], found in a variety of naturally occurring peptides. The scaffolds described here are useful for the design of constrained peptidomimics with defined secondary structure.     

The structure of antimicrobial pexiganan peptide in solution probed by Fourier transform infrared absorption, vibrational circular dichroism, and electronic circular dichroism spectroscopy

Pexiganan (Gly-Ile-Gly-Lys-Phe-Leu-Lys-Lys-Ala-Lys-Lys-Phe-Gly-Lys-Ala-Phe-Val-Lys-Ile-Leu-Lys-Lys), a 22 amino acid peptide, is an analogue of the magainin family of antimicrobial peptides present in the skin of the African clawed frog. Conformational analysis of pexiganan was carried out in different solvent environments for the first time. Organic solvents, trifluoroethanol (TFE) and methanol, were used to study the secondary structural preferences of this peptide in the membrane-mimicking environments. In addition, aqueous (D2O) and dimethyl sulfoxide (DMSO) solutions were also investigated to study the role of hydrogen bonding involved in the secondary structure formation. Fourier transform infrared absorption, vibrational circular dichroism (VCD), and electronic circular dichroism (ECD) measurements were carried out under the same conditions to ascertain the conformational assignments in different solvents. All these spectroscopic measurements suggest that the pexiganan peptide has the tendency to adopt different structures in different environments. Pexiganan appears to adopt an alpha-helical conformation in TFE, a sheet-stabilized beta-turn structure in methanol, a random coil with beta-turn structure in D2O, and a solvated beta-turn structure in DMSO.     

Protein beta-turn prediction using nearest-neighbor method

MOTIVATION: With the emerging success of protein secondary structure prediction through the applications of various statistical and machine learning techniques, similar techniques have been applied to protein beta-turn prediction. In this study, we perform protein beta-turn prediction using a k-nearest neighbor method, which is combined with a filter that uses predicted protein secondary structure information. Traditional beta-turn prediction from k-nearest neighbor method is modified to account for the unbalanced ratio of the natural occurrence of beta-turns and non-beta-turns. RESULTS: Our prediction scheme is tested on a set of 426 non-homologous protein sequences. The prediction scheme consists of two stages: k-nearest neighbor method stage and filtering stage. Variations of the k-nearest neighbor method were used to take property of beta-turns into consideration. Our filtering method uses beta-turn/non-beta-turn estimates from the k-nearest neighbor method stage and predicted protein secondary structure information from PSI-PRED in order to get new beta-turn/non-beta-turn estimate. Our result is compared with the previously best known beta-turn prediction method on the dataset of 426 non-homologous protein sequences and is shown to give slightly superior performance at significantly lower computational complexity. AVAILABILITY: Contact the author for information on the source code of the programs used.     

Structural characterization and artificial fiber formation of Bombyx mori silk fibroin in hexafluoro-iso-propanol solvent system

High-resolution solution (13)C-NMR and CD studies of Bombyx mori silk fibroin revealed the presence of an ordered secondary structure 3(10)-helix, in hexafluoro-iso-propanol (HFIP). The solid-state structure of the silk fibroin film prepared by drying it gently from the HFIP solution still keep the structure, 3(10)-helix, which was studied with high-resolution solid state (13)C-NMR. The structural transition from the 3(10)-helix to silk II structure, heterogeneous structure including antiparallel beta-sheet, occurred during the artificial spinning from the HFIP solution. The wide-angle x-ray diffraction and differential scanning calorimetry thermograms of the artificial spinning fiber after postspinning treatments were observed together with the stress-strain curves. The results emphasize that the molecular structures, controlled morphology, and mechanical properties of the protein-based synthetic polymers can be modulated for enhancing biocompatibility.     

Comparison of the conformation and electrostatic surface properties of magainin peptides bound to sodium dodecyl sulfate and dodecylphosphocholine micelles

The role played by noncovalent interactions in inducing a stable secondary structure onto the sodium dodecyl sulfate (SDS) and dodecylphosphocholine (DPC) micelle-bound conformations of (Ala(8,13,18))magainin 2 amide and the DPC micelle bound conformation of magainin 1 were determined. Two-dimensional NMR and molecular modeling investigations indicated that (Ala(8,13,18))magainin 2 amide bound to DPC micelles adopts a alpha-helical secondary structure involving residues 2-16. The four C-terminal residues converge to a lose beta-turn structure. (Ala(8,13,18))magainin 2 amide bound to SDS miscelles adopts a alpha-helical secondary structure involving residues 7-18. The C- and N-terminal residues exhibited a great deal of conformational flexibility. Magainin 1 bound to DPC micelles adopts a alpha-helical secondary structure involving residues 4-19. The C-terminal residues converge to a lose beta-turn structure. The results of this investigation indicate hydrophobic interactions are the major contributors to stabilizing the induced helical structure of the micelle-bound peptides. Electrostatic interactions between the polar head groups of the micelle and the cationic side chains of the peptides define the positions along the peptide backbone where the helical structures begin and end.