Structural features of split and unsplit βαβ-units

In this study, 1064 nonhomologous “unsplit”, “one-strand split” and “two-strand split” right-handed βαβ-units having standard α-helices and loops up to seven residues in length have been analyzed. It was found that the α-helices in these kinds of βαβ-units have different distributions of the hydrophobic and hydrophilic amino acid residues along the chain. In the unsplit βαβ-units, most α-helices have hydrophobic residues in positions N4-N7-N8-N11 or N6-N7-N10, where N1 is the first N-terminal residue. In the one-strand split βαβ-units, most α-helices have hydrophobic residues in positions N4-N7-N8-N11 and those in two-strand split βαβ-units in positions N4-N5-N8-N12. On the other hand, in all kinds of βαβ-units, there are commonly occurring hydrophobic stripes of type C4-C7-C8 at the C-terminal parts of the α-helices. As a rule, the C- and N-terminal hydrophobic stripes overlap and the extent of their overlapping determine the length of α-helices.     

Structural motifs are closed into cycles in proteins

β-Hairpins, triple-strand β-sheets and βαβ-units represent simple structural motifs closed into cycles by systems of hydrogen bonds. Secondary closing of these simple motifs into large cycles by means of different superhelices, split β-hairpins or SS-bridges results in the formation of more complex structural motifs having unique overall folds and unique handedness such as abcd-units, φ-motifs, five- and seven-segment α/β-motifs. Apparently, the complex structural motifs are more cooperative and stable and this may be one of the main reasons of high frequencies of occurrence of the motifs in proteins.     

Unique Combinations of βαβ-Units and Π-Like Modules in Proteins and Specific Features of Their Amino Acid Sequences

Possible combinations of βαβ-units and Π-like modules in proteins in both right- and left-handed forms have been analyzed in detail. The correlation between the mutual arrangement of the structural elements in the polypeptide chain and their handedness has been shown. In the βαβΠ combinations, which is encountered most frequently in proteins, the Π-module follows the βαβ unit along the chain and both elements are right-handed. In the Πβαβ combinations, where the Π-module is located at the N end and the βαβ-unit follows it, the former is left-handed and the latter is right-handed. In relatively rare combinations of the left-handed βαβ-units and right-handed Π-modules, the βαβ-unit follows Π-module in the chain. The combinations of left-handed Π-modules and the left-handed βαβ-units are unobservable in proteins. It has also been shown that the Π-modules with a β-strand—α-helix—arch—β-strand structure are observed in proteins only in a right-handed form and half of them (51%) contains cis-prolines in their arches. These arches of nonhomologous proteins, as well as the positions of cis-prolines, nearly coincide when superimposed. The superimposed Π-modules also demonstrate that their overall folds are very similar. Structural alignment of their amino acid sequences has shown that the Π-modules have very similar sequence patterns of the key hydrophobic, hydrophilic, glycine, and cis-proline residues.     

1H, 13C and 15N backbone resonance assignments for the BS3 class A β-lactamase from Bacillus licheniformis

Class A β-lactamases (260–280 amino acids; M _r  ~ 29,000) are among the largest proteins studied in term of their folding properties. They are composed of two structural domains: an all-α domain formed by five to eight helices and an α/β domain consisting of a five-stranded antiparallel β-sheet covered by three to four α-helices. The α domain (~150 residues) is made up of the central part of the polypeptide chain whereas the α/β domain (111–135 residues) is constituted by the N- and C-termini of the protein. Our goal is to determine in which order the different secondary structure elements are formed during the folding of BS3. With this aim, we will use pulse-labelling hydrogen/deuterium exchange experiments, in combination with 2D-NMR measurements, to monitor the time-course of formation and stabilization of secondary structure elements. Here we report the backbone resonance assignments as the requirement for further hydrogen/deuterium exchange studies.     

Theory of protein molecule self-organization. III. A calculating method for the probabilities of the secondary structure formation in an unfolded polypeptide chain

A mathematical model is developed adequately describing an unfolded polypeptide chain without long-range interactions in which fluctuating hydrogen-bonded α-helices, β-bends, fragments of helices 3₁₀, and other local structures are formed. The obtained model is a modification of a one-dimensional Ising model for a heteropolymer and allows one to determine the probability of formation of different secondary structures in various parts of a polypeptide chain, provided the whole set of structural thermodynamic parameters exists.     

Folding type-specific secondary structure propensities of amino acids,derived from α-helical, β-sheet, α/β, and α+β proteins of known structures

Folding type-specific secondary structure propensities of 20 naturally occurring amino acids have been derived from α-helical, β-sheet, α/β, and α+β proteins of known structures. These data show that each residue type of amino acids has intrinsic propensities in different regions of secondary structures for different folding types of proteins. Each of the folding types shows markedly different rank ordering, indicating folding type-specific effects on the secondary structure propensities of amino acids. Rigorous statistical tests have been made to validate the folding type-specific effects. It should be noted that α and β proteins have relatively small α-helices and β-strands forming propensities respectively compared with those of α+β and α/β proteins. This may suggest that, with more complex architectures than α and β proteins, α+β and α/β proteins require larger propensities to distinguish from interacting α-helices and β-strands. Our finding of folding type-specific secondary structure propensities suggests that sequence space accessible to each folding type may have differing features. Differing sequence space features might be constrained by topological requirement for each of the folding types. Almost all strong β-sheet forming residues are hydrophobic in character regardless of folding types, thus suggesting the hydrophobicities of side chains as a key determinant of β-sheet structures. In contrast, conformational entropy of side chains is a major determinant of the helical propensities of amino acids, although other interactions such as hydrophobicities and charged interactions cannot be neglected. These results will be helpful to protein design, class-based secondary structure prediction, and protein folding. © 1998 John Wiley & Sons, Inc. Biopoly 45: 35–49, 1998     

Side-chain rotamers in protein α-α hairpins and a mechanism of their selection

Several regularities were observed for the distribution of side-chain rotamers in α-α hairpins of globular proteins. In left-turned α-α hairpins, most side chains adopt t rotamers in d-positions and g^? rotamers in g-positions. In right-turned α-α hairpins, most side-chains adopt g^? rotamers in a-positions and t rotamers in e-positions. Analysis of these regularities suggested that selection of the side-chain conformation in α-α hairpins depends on two main factors, the mode of α-helix packing and the positions of side chains in α-helices. The regularities were explained by the squeezing mechanism: interhelical interactions bring the α-helices close together so that the side chains are squeezed out of the helix-helix interface and adopt unique conformations.     

Theory of protein molecule self-organization. II. A comparison of calculated thermodynamic parameters of local secondary structures with experiments

Constants of the helix–coil transition for all natural amino acid residues are evaluated on the basis of thermodynamic parameters obtained in paper I of this series. The specific effects at the termini of the helices are also considered as well as the parameters controlling the formation of β-bends in the unfolded protein chain. Evaluated s constants of the helix–coil transition agree with the experimental data on helix–coil transitions of synthetic polypeptides in water. Only a very qualitative correlation exists between s constants (both experimental and theoretical) and the occurrence of corresponding residues in internal turns of α-helices in globular proteins: residues with s > 1 occur in helices as a rule more often than residues with s < 1. At the same time a direct correlation is demonstrated between theoretical parameters of residue incorporation into α-helical termini and β-bends in an unfolded polypeptide chain and the occurrence of residues in corresponding positions of the globular protein secondary structures.     

Solution NMR structures provide first structural coverage of the large protein domain family PF08369 and complementary structural coverage of dark operative protochlorophyllide oxidoreductase complexes

High-quality NMR structures of the C-terminal domain comprising residues 484–537 of the 537-residue protein Bacterial chlorophyll subunit B (BchB) from Chlorobium tepidum and residues 9–61 of 61-residue Asr4154 from Nostoc sp. (strain PCC 7120) exhibit a mixed α/β fold comprised of three α-helices and a small β-sheet packed against second α-helix. These two proteins share 29 % sequence similarity and their structures are globally quite similar. The structures of BchB(484–537) and Asr4154(9–61) are the first representative structures for the large protein family (Pfam) PF08369, a family of unknown function currently containing 610 members in bacteria and eukaryotes. Furthermore, BchB(484–537) complements the structural coverage of the dark-operating protochlorophyllide oxidoreductase.     

Complete observation of all structural,conformational, and fibrillation transitions of monomeric globular proteins at submicellar sodium dodecyl sulfate concentrations

Although considerable information is available regarding protein–sodium dodecyl sulfate (SDS) interactions, it is still unclear as to how much SDS is needed to denature proteins. The role of protein charge and micellar surfactant concentration on amyloid fibrillation is also unclear. This study reports on equilibrium measurements of SDS interaction with six model proteins and analyzes the results to obtain a general understanding of conformational breakdown, reorganization and restructuring of secondary structure, and entry into the amyloid fibrillar state. Significantly, all of these responses are entirely resolved at much lower than the critical micellar concentration (CMC) of SDS. Electrostatic interaction of the dodecyl sulfate anion (DS⁻) with positive surface potential on the protein can completely unfold both secondary and tertiary structures, which is followed by protein chain restructuration to α-helices. All SDS-denatured proteins contain more α-helices than the corresponding native state. SDS interaction stochastically drives proteins to the aggregated fibrillar state.     

The SMR family: a novel family of multidrug efflux proteins involved with the efflux of lipophilic drugs

The sequenced members of a novel family of small, hydrophobic, bacterial multidrug-resistance efflux proteins, which we have designated the small multidrug resistance (SMR) protein family, are identified and analysed. Two distinct clusters of proteins were identified within this family: (i) small multidrug efflux systems; and (ii) Sug proteins, potentially involved in the suppression of groEL mutations. Hydropathy and residue distribution analyses of this family suggest a structural model in which the polypeptide chain spans the membrane four times as mildly amphipathic α-helices. The roles of specific residues, a possible mechanistic model of drug efflux, and the primary physiological role(s) of the SMR proteins are discussed.     

Structural trees for protein superfamilies

Structural trees for large protein superfamilies, such as β proteins with the aligned β sheet packing, β proteins with the orthogonal packing of α helices, two-layer and three-layer α/β proteins, have been constructed. The structural motifs having unique overall folds and a unique handedness are taken as root structures of the trees. The larger protein structures of each superfamily are obtained by a stepwise addition of α helices and/or β strands to the corresponding root motif, taking into account a restricted set of rules inferred from known principles of the protein structure. Among these rules, prohibition of crossing connections, attention to handedness and compactness, and a requirement for α helices to be packed in α-helical layers and β strands in β layers are the most important. Proteins and domains whose structures can be obtained by stepwise addition of α helices and/or β strands to the same root motif can be grouped into one structural class or a superfamily. Proteins and domains found within branches of a structural tree can be grouped into subclasses or subfamilies. Levels of structural similarity between different proteins can easily be observed by visual inspection. Within one branch, protein structures having a higher position in the tree include the structures located lower. Proteins and domains of different branches have the structure located in the branching point as the common fold. Proteins 28:241–260, 1997. © 1997 Wiley-Liss Inc.     

The elusive π-helix

Central to protein architecture is the local arrangement or secondary structure of the polypeptide backbone. Thirty to forty percent of protein domains are α-helices with 3.6 residues per turn. π-Helices, in which the peptide chain is more loosely coiled (4.4 residues per turn), have also been proposed. However, such structures necessitate an energetically unfavorable ～1 Å central helical hole. We show that rather than being composed of idealized π-helices, helical regions formed from putative π-helices actually consist of a series of concatenated wide turns with unique elliptical configurations. These structures have a larger helical radius akin to that of a π-helix, but without the loss of favorable cross-core van der Waals interactions. This not only obviates the helical void, but also endows proteins with important functionalities, including metal ion coordination, enhanced flexibility and specific enzyme-substrate binding interactions.     

Understanding contact patterns of protein structures from protein contact map and investigation of unique patterns in the globin-like folded domains

Proteins are biochemical compounds made up of one or more polypeptides in a specific order, typically folded into a functionally active form. Proteins are categorized into four different structural classes according to the topology of α-helices and β-strands. In this study, we modeled these four structural classes as an undirected network depicting amino acids as nodes and interaction between them as edges. Results infer that basic protein classes can be easily recognized as well as distinguished by utilizing protein contact maps (PCM). Toward studying the globin-like fold, the helix-loop-helix region contacts were seen to be of a unique pattern, and these remained in all the folds. Further, the averaged diagonal contacts were analyzed and identified those contacts in α/β proteins were higher in comparison with the other class. Interesting, we noticed that anti-parallel beta sheets were dominant in all-β and α + β classes that lead to similar diagonal patterns. Network properties of all four basic classes were analyzed and found to possess small-world property. Findings infer that PCM may assist classify protein structure classes and it also helps in evaluating the predicted protein structures.     

Binary patterning of polar and nonpolar amino acids in the sequences and structures of native proteins

Protein sequences can be represented as binary patterns of polar (○) and nonpolar (?) amino acids. These binary sequence patterns are categorized into two classes: Class A patterns match the structural repeat of an idealized amphiphilic α-helix (3.6 residues per turn), and class B patterns match the structural repeat of an idealized amphiphilic β-strand (2 residues per turn). The difference between these two classes of sequence patterns has led to a strategy for de novo protein design based on binary patterning of polar and nonpolar amino acids. Here we ask whether similar binary patterning is incorporated in the sequences and structures of natural proteins. Analysis of the Protein Data Bank demonstrates the following. (1) Class A sequence patterns occur considerably more frequently in the sequences of natural proteins than would be expected at random, but class B patterns occur less often than expected. (2) Each pattern is found predominantly in the secondary structure expected from the binary strategy for protein design. Thus, class A patterns are found more frequently in α-helices than in β-strands, and class B patterns are found more frequently in β-strands than in α-helices. (3) Among the α-helices of natural proteins, the most commonly used binary patterns are indeed the class A patterns. (4) Among all β-strands in the database, the most commonly used binary patterns are not the expected class B patterns. (5) However, for solvent-exposed β-strands, the correlation is striking: All β-strands in the database that contain the class B patterns are exposed to solvent. (6) The bias of class A patterns for α-structure over β-structure and the bias of class B patterns for β-structure over α-structure are significant, not merely when compared to other binary patterns of polar (○) and nonpolar (?) amino acids, but also when compared to the full range of sequences in the database. The implications for the design of novel proteins are discussed.     

Structures closed into cycles in globular proteins

Different types of structures closed into cycles are widespread at all the levels of structural organization of proteins. β-Hairpins, triple-stranded β-sheets, and βαβ-units represent simple structural motifs closed into cycles by systems of hydrogen bonds. Secondary closing of these simple motifs into larger cycles by means of different superhelices, split β-hairpins, or SS-bridges results in formation of complex structural motifs such as abcd-units, φ-motifs, five- and seven-segment α/β-motifs, etc. At the level of tertiary structure many proteins and domains fold into structures closed into cylinders. Apparently, closing the motifs and domains into cycles and cylinders results in formation of more cooperative and stable structures as compared with open ones, and this may be the reason for high frequencies of occurrence of the motifs in proteins.     

An Automatic Search for Similar Spatial Arrangements of α-Helices and β-Strands in Globular Proteins

Abstract

A fast search algorithm to reveal similar polypeptide backbone structural motifs in proteins is proposed. It is based on the vector representation of a polypeptide chain fold in which the elements of regular secondary structures are approximated by linear segments (Abagyan and Maiorov, J. Biomol. Struct. Dyn. 5, 1267–1279 (1988)). The algorithm permits insertions and deletions in the polypeptide chain fragments to be compared. The fast search algorithm implemented in FASEAR program is used for collecting βαβ supersecondary structure units in a number of α/β proteins of Brookhaven Data Bank. Variation of geometrical parameters specifying backbone chain fold is estimated. It appears that the conformation of the majority of the fragments, although almost all of them are right-handed, is quite different from that of standard βαβ units. Apart from searching for specific type of secondary structure motif, the algorithm allows automatically to identify new recurrent folding patterns in proteins. It may be of particular interest for the development of tertiary template approach for prediction of protein three-dimensional structure as well for constructing artificial polypeptides with goal-oriented conformation.     

Molecular dynamics simulations of the folding of poly(alanine) peptides

The secondary structures and the shapes of long-chain polyalanine (PA) molecules were investigated by all-atom molecular dynamics simulations using a modified Amber force field. Homopolymers of polyaminoacids such as PA are convenient models to study the mechanism of protein folding. It was found that the conformational structures of PA peptides are highly sensitive to the chain length. In the absence of solvent, straight α-helices dominate in short (n ∼ 20) peptides at room temperature. A shape transition occurs at a chain length n of 40–45; the compact helix-turn-helix structure (the double-leg hairpin) becomes favored over a straight α-helix. For n = 60, double-leg and the triple-leg hairpins are the only structures present in PA molecules. An exploration of a chain organization in a cubic cavity revealed a clear predisposition of PA molecules for additional breaks in α-helices and the formation of multifolded hairpins. Furthermore, under confinement the hairpin structure becomes much looser, the antiparallel positions of helical stems are disturbed, and a sizeable proportion of the helical stems are transformed from α-helices into 3₁₀-helices.     

Prediction of the secondary and tertiary structures of interferon from four homologous amino acid sequences

The secondary and tertiary structures of interferon were predicted from four homologous amino acid sequences. Three methods of secondary structure prediction gave differing results that were interpreted to suggest that there might be four α-helices that are important in the tertiary fold. The validity of this interpretation was assessed by the application of the methods to predict the secondary structures of two proteins known to consist of four α-helices. A possible tertiary model for interferon is then proposed in which the four α-helices pack into a right-handed bundle similar to that observed in several known protein structures. This model was shown to be stereochemically feasible by an α-helix docking algorithm. One of the resultant structures is shown to be compatible with the known disulphide linkages in interferon. Certain residues that are conserved between the different sequences lie near each other in our model and these residues might form a functional site. In the absence of a crystal structure for interferon, a predicted tertiary model will help further structural and functional studies.     

Secondary-structure analysis of alcohol-denatured proteins by vacuum-ultraviolet circular dichroism spectroscopy

To elucidate the structural characteristics of alcohol-denatured proteins, we measured the vacuum-ultraviolet circular dichroism (VUVCD) spectra of six proteins-myoglobin, human serum albumin, α-lactalbumin, thioredoxin, β-lactoglobulin, and α-chymotrypsinogen A-down to 170 nm in trifluoroethanol solutions (TFE: 0-50%) and down to 175 nm in methanol solutions (MeOH: 0-70%) at pH 2.0 and 25°C, using a synchrotron-radiation VUVCD spectrophotometer. The contents of α-helices, β-strands, turns, poly-L-proline type II helices (PPIIs), and unordered structures of these proteins were estimated using the SELCON3 program, including the numbers of α-helix and β-strand segments. Furthermore, the positions of α-helices and β-strands on amino acid sequences were predicted by combining these secondary-structure data with a neural-network method. All alcohol-denatured proteins showed higher α-helix contents (up to ~ 90%) compared with the native states, and they consisted of several long helical segments. The helix-forming ability was higher in TFE than in MeOH, whereas small amounts of β-strands without sheets were formed in the MeOH solution. The produced α-helices were transformed dominantly from the β-strands and unordered structures, and slightly from the turns. The content and mean length of α-helix segments decreased as the number of disulfide bonds in the proteins increased, suggesting that disulfide bonds suppress helix formation by alcohols. These results demonstrate that alcohol-denatured proteins constitute an ensemble of many long α-helices, a few β-strands and PPIIs, turns, and unordered structures, depending on the types of proteins and alcohols involved.