Typical Secondary Structure Research Articles

Estimation of Position Specific Energy as a Feature of Protein Residues from Sequence Alone for Structural Classification.

A set of features computed from the primary amino acid sequence of proteins, is crucial in the process of inducing a machine learning model that is capable of accurately predicting three-dimensional protein structures. Solutions for existing protein structure prediction problems are in need of features that can capture the complexity of molecular level interactions. With a view to this, we propose a novel approach to estimate position specific estimated energy (PSEE) of a residue using contact energy and predicted relative solvent accessibility (RSA). Furthermore, we demonstrate PSEE can be reasonably estimated based on sequence information alone. PSEE is useful in identifying the structured as well as unstructured or, intrinsically disordered region of a protein by computing favorable and unfavorable energy respectively, characterized by appropriate threshold. The most intriguing finding, verified empirically, is the indication that the PSEE feature can effectively classify disorder versus ordered residues and can segregate different secondary structure type residues by computing the constituent energies. PSEE values for each amino acid strongly correlate with the hydrophobicity value of the corresponding amino acid. Further, PSEE can be used to detect the existence of critical binding regions that essentially undergo disorder-to-order transitions to perform crucial biological functions. Towards an application of disorder prediction using the PSEE feature, we have rigorously tested and found that a support vector machine model informed by a set of features including PSEE consistently outperforms a model with an identical set of features with PSEE removed. In addition, the new disorder predictor, DisPredict2, shows competitive performance in predicting protein disorder when compared with six existing disordered protein predictors.

The Ramachandran Number: An Order Parameter for Protein Geometry.

Three-dimensional protein structures usually contain regions of local order, called secondary structure, such as α-helices and β-sheets. Secondary structure is characterized by the local rotational state of the protein backbone, quantified by two dihedral angles called ϕ and ψ. Particular types of secondary structure can generally be described by a single (diffuse) location on a two-dimensional plot drawn in the space of the angles ϕ and ψ, called a Ramachandran plot. By contrast, a recently-discovered nanomaterial made from peptoids, structural isomers of peptides, displays a secondary-structure motif corresponding to two regions on the Ramachandran plot [Mannige et al., Nature 526, 415 (2015)]. In order to describe such ‘higher-order’ secondary structure in a compact way we introduce here a means of describing regions on the Ramachandran plot in terms of a single Ramachandran number, , which is a structurally meaningful combination of ϕ and ψ. We show that the potential applications of are numerous: it can be used to describe the geometric content of protein structures, and can be used to draw diagrams that reveal, at a glance, the frequency of occurrence of regular secondary structures and disordered regions in large protein datasets. We propose that might be used as an order parameter for protein geometry for a wide range of applications.

Production of α-Amylase by Aspergillus terreus NCFT 4269.10 Using Pearl Millet and Its Structural Characterization.

In this investigation, Aspergillus terreus NCFT4269.10 was employed in liquid static surface (LSSF) and solid state (SSF) fermentation to assess the optimal conditions for α-amylase biosynthesis. One-variable-at-a-time approach (quasi-optimum protocol) was primarily used to investigate the effect of each parameter on production of amylase. The maximum amylase production was achieved using pearl millet (PM) as substrate by SSF (19.19 ± 0.9 Ug−1) and also in presence of 1 mM magnesium sulfate, 0.025% (w/v) gibberellic acid, and 30 mg/100 ml (w/v) of vitamin E (~60-fold higher production of amylase) with the initial medium pH of 7.0 and incubation at 30 °C for 96 h. In addition, maltose, gelatin and isoleucine also influenced the α-amylase production. Amylase was purified to homogeneity with molecular mass around 15.3 kDa. The enzyme comprised of a typical secondary structure containing α-helix (12.2%), β-pleated sheet (23.6%), and β-turn (27.4%). Exploitation of PM for α-amylase production with better downstream makes it the unique enzyme for various biotechnological applications.

NAPS: Network Analysis of Protein Structures.

Traditionally, protein structures have been analysed by the secondary structure architecture and fold arrangement. An alternative approach that has shown promise is modelling proteins as a network of non-covalent interactions between amino acid residues. The network representation of proteins provide a systems approach to topological analysis of complex three-dimensional structures irrespective of secondary structure and fold type and provide insights into structure-function relationship. We have developed a web server for network based analysis of protein structures, NAPS, that facilitates quantitative and qualitative (visual) analysis of residue–residue interactions in: single chains, protein complex, modelled protein structures and trajectories (e.g. from molecular dynamics simulations). The user can specify atom type for network construction, distance range (in Å) and minimal amino acid separation along the sequence. NAPS provides users selection of node(s) and its neighbourhood based on centrality measures, physicochemical properties of amino acids or cluster of well-connected residues (k-cliques) for further analysis. Visual analysis of interacting domains and protein chains, and shortest path lengths between pair of residues are additional features that aid in functional analysis. NAPS support various analyses and visualization views for identifying functional residues, provide insight into mechanisms of protein folding, domain-domain and protein–protein interactions for understanding communication within and between proteins. URL:http://bioinf.iiit.ac.in/NAPS/.

ConSSert: Consensus SVM Model for Accurate Prediction of Ordered Secondary Structure.

Accurate prediction of protein secondary structure remains a crucial step in most approaches to the protein-folding problem, yet the prediction of ordered secondary structure, specifically beta-strands, remains a challenge. We developed a consensus secondary structure prediction method, conSSert, which is based on support vector machines (SVM) and provides exceptional accuracy for the prediction of beta-strands with QE accuracy of over 0.82 and a Q2-EH of 0.86. conSSert uses as input probabilities for the three types of secondary structure (helix, strand, and coil) that are predicted by four top performing methods: PSSpred, PSIPRED, SPINE-X, and RAPTOR. conSSert was trained/tested using 4261 protein chains from PDBSelect25, and 8632 chains from PISCES. Further validation was performed using targets from CASP9, CASP10, and CASP11. Our data suggest that poor performance in strand prediction is likely a result of training bias and not solely due to the nonlocal nature of beta-sheet contacts. conSSert is freely available for noncommercial use as a webservice: http://ares.tamu.edu/conSSert/.

On the satisfaction of backbone-carbonyl lone pairs of electrons in protein structures.

Protein structures are stabilized by a variety of noncovalent interactions (NCIs), including the hydrophobic effect, hydrogen bonds, electrostatic forces and van der Waals’ interactions. Our knowledge of the contributions of NCIs, and the interplay between them remains incomplete. This has implications for computational modeling of NCIs, and our ability to understand and predict protein structure, stability, and function. One consideration is the satisfaction of the full potential for NCIs made by backbone atoms. Most commonly, backbone‐carbonyl oxygen atoms located within α‐helices and β‐sheets are depicted as making a single hydrogen bond. However, there are two lone pairs of electrons to be satisfied for each of these atoms. To explore this, we used operational geometric definitions to generate an inventory of NCIs for backbone‐carbonyl oxygen atoms from a set of high‐resolution protein structures and associated molecular‐dynamics simulations in water. We included more‐recently appreciated, but weaker NCIs in our analysis, such as n→π* interactions, Cα‐H bonds and methyl‐H bonds. The data demonstrate balanced, dynamic systems for all proteins, with most backbone‐carbonyl oxygen atoms being satisfied by two NCIs most of the time. Combinations of NCIs made may correlate with secondary structure type, though in subtly different ways from traditional models of α‐ and β‐structure. In addition, we find examples of under‐ and over‐satisfied carbonyl‐oxygen atoms, and we identify both sequence‐dependent and sequence‐independent secondary‐structural motifs in which these reside. Our analysis provides a more‐detailed understanding of these contributors to protein structure and stability, which will be of use in protein modeling, engineering and design.

The knob-Socket Model: An Amino Acid Code Describing Protein Tertiary Packing Structure

A construct that simplifies the complexity of residue packing would significantly impact our understanding and analysis higher order protein structure in the same way that the covalent peptide bond allows linear comparisons of protein sequences and main-chain hydrogen bonding patterns identify secondary structure. For every secondary structure type including the irregular coil elements, the knob-socket model decomposes the many-bodied and non-specific side-chain interactions into regular patterns of a 3-residue socket. The 3-residue socket describes packing interactions within secondary structure elements and exists in 2 states: free and filled with a knob. The 4-residue filled socket or knob-socket indicates tertiary structure packing between secondary structure elements. Amino acid composition analysis of the 2 sockets across secondary structure classes shows strong preferences for either a free state or packed with a knob. Therefore, the relative arrangement of these socket types in the secondary structure different elements defines the packing architecture of a protein and provides a correlation of a protein's primary sequence directly with its tertiary structure. This analysis characterizes packing structure even in irregular coil structure and that coil residues contribute as much to tertiary structure packing as alpha-helices. Moreover, the knob-socket construct decomposes the complicated 3D interactions of protein tertiary structure into an easily understood 2D representation called a packing surface topology map. This approach unambiguously illustrates the canonical packing patterns between alpha-helices and reveals the canonical packing patterns between beta-sheets as well as between alpha-helices and beta-sheets. Furthermore, knobs are found to consistently pack into individual sockets and only a few shapes of contiguous sockets (or pockets). These analyses and results demonstrate that the knob-socket model functions as a fundamental unit to describe packing in higher order protein structure.

The Drosophila Helicase MLE Targets Hairpin Structures in Genomic Transcripts.

RNA hairpins are a common type of secondary structures that play a role in every aspect of RNA biochemistry including RNA editing, mRNA stability, localization and translation of transcripts, and in the activation of the RNA interference (RNAi) and microRNA (miRNA) pathways. Participation in these functions often requires restructuring the RNA molecules by the association of single-strand (ss) RNA-binding proteins or by the action of helicases. The Drosophila MLE helicase has long been identified as a member of the MSL complex responsible for dosage compensation. The complex includes one of two long non-coding RNAs and MLE was shown to remodel the roX RNA hairpin structures in order to initiate assembly of the complex. Here we report that this function of MLE may apply to the hairpins present in the primary RNA transcripts that generate the small molecules responsible for RNA interference. Using stocks from the Transgenic RNAi Project and the Vienna Drosophila Research Center, we show that MLE specifically targets hairpin RNAs at their site of transcription. The association of MLE at these sites is independent of sequence and chromosome location. We use two functional assays to test the biological relevance of this association and determine that MLE participates in the RNAi pathway.

Identification and characterization of microRNAs in the plant parasitic root-knot nematode Meloidogyne incognita using deep sequencing.

The root-knot nematode Meloidogyne incognita is among the most damaging plant-parasitic pests of several crops including cotton (Gossypium hirsutum) and tomato (Lycopersicon escultentum). Recently, a genome has become available for M. incognita, which greatly facilitates investigation of the interactions between M. incognita and its plant hosts at the molecular level and enables formation of hypotheses concerning development at the cellular level. MicroRNAs (miRNAs) are a class of small RNA molecules that serve as endogenous gene regulators. They regulate many biological processes including reproduction, the sequencing of morphological development, and potentially of parasitism as well. Certain miRNAs regulate fundamental metabolism pathways and stress responses in M. incognita. Since a list of miRNAs has not been generated for M. incognita, we employed a bioinformatics tool called mirDeepFinder to identify miRNAs from the small RNA database of M. incognita (GSM611102) that was generated from deep sequencing. A total of 254 conserved miRNAs belonging to 161 miRNA families were identified, as were 35 novel miRNAs belonging to 31 families. The 16 most commonly found miRNAs in order of abundance were min-miR-100a, min-miR-124, min-miR-71a, min-miR-1, min-miR-228, min-miR-92, min-miR-72, min-miR-49b, min-miR-58, min-miR-252, min-miR-lin-4, min-miR-87, min-miR-2a, min-miR-34a, min-miR-50a, and min-miR-279a. The length of the pre-miRNAs varied greatly from 50 to 197 nt, with an average of 88 ± 39 nt. The average minimal folding free energy (MFE) and MFE index (MFEI) of the identified miRNAs were -30.3 Kcal/mol and 0.92, respectively, indicating that these miRNAs can readily fold into a typical hairpin secondary structure.

Descriptive statistics of disallowed regions and various protein secondary structures in the context of studying twisted β-hairpins

A detailed analysis of polypeptide-chain backbone conformations was carried out for polypeptide-chain segments adjacent to β-turn regions, including the sites of disallowed conformations. A cross comparison of conformations was performed for disallowed regions of the Ramachandran plot and main types of β-turns and adjacent secondary structures. Based on the results, disallowed region 2 (II, II') in the Ramachandran plot was shown to coincide mainly with β-hairpins and, more exactly, twisted β-hairpins. The frequency of residues with angles ϕi, ψi that fall in region 2 (II, II') in the latter is 140 times higher than in common β-hairpins.

Role of Alkali Metal Ions in G-Quadruplex Nucleic Acid Structure and Stability.

G-quadruplexes are guanine-rich nucleic acids that fold by forming successive quartets of guanines (the G-tetrads), stabilized by intra-quartet hydrogen bonds, inter-quartet stacking, and cation coordination. This specific although highly polymorphic type of secondary structure deviates significantly from the classical B-DNA duplex. G-quadruplexes are detectable in human cells and are strongly suspected to be involved in a number of biological processes at the DNA and RNA levels. The vast structural polymorphism exhibited by G-quadruplexes, together with their putative biological relevance, makes them attractive therapeutic targets compared to canonical duplex DNA. This chapter focuses on the essential and specific coordination of alkali metal cations by G-quadruplex nucleic acids, and most notably on studies highlighting cation-dependent dissimilarities in their stability, structure, formation, and interconversion. Section 1 surveys G-quadruplex structures and their interactions with alkali metal ions while Section 2 presents analytical methods used to study G-quadruplexes. The influence of alkali cations on the stability, structure, and kinetics of formation of G-quadruplex structures of quadruplexes will be discussed in Sections 3 and 4. Section 5 focuses on the cation-induced interconversion of G-quadruplex structures. In Sections 3 to 5, we will particularly emphasize the comparisons between cations, most often K(+) and Na(+) because of their prevalence in the literature and in cells.

Anatomical characteristics and tissue localization of various flavonoid subclasses in Cotinus coggygria stem and leaf cross-sections

Leaves, twigs and wood of Cotinus coggygria (Anacardiaceae) are employed in European and Chinese traditional medicine to treat skin and mucosal injuries, fever, diarrhea, emesis and to enhance appetite. While being a popular medicinal plant, ancient tinctorial species and common ornamental shrub, its anatomical characteristics and tissue localization of major groups of active compounds have not been studied yet, to the best of our knowledge. Freehand cross sections of the stem at different developmental stages, leaf lamina and petiole were performed. Tissue types were studied using conventional dyes (toluidine blue; congo red and malachite green). Folin-Ciocalteu reagent, shift reagents (ammonia) and Naturstoffreagenz A were used to complement light microscopy and autofluorescence observations of flavonoid localization. Microscopes of type Optika XDS-3FL inverted fluorescence, and Olympus BH-2 for observation in visible light were employed. C. coggygria stem has a typical secondary structure. The bark contains resin ducts placed in the phloem; in younger twigs they are limited by outer sclerenchyma arches. Vascular cambium generates distinct annual rings, with a porous structure. The vessel frequency is of 100 – 200 mm2, and their perforations are simple. Medullar rays are narrow (1 – 2 cells). Chalcone and aurone derivatives are present in inner wood rings aged at least 2 years, in earlywood parts. Leaves display epidermis with anomocytic stomata on the lower surface. A hypodermis is present on the adaxial side. The midrib contains four main vascular bundles and cambium. The phloem encloses resin secretory cavities. The center of the midrib is occupied by parenchyma. Palisade parenchyma is two cells deep, and spongy mesophyll is situated towards the abaxial side. Reducing flavonoids are present in leaf mesophyll.

The dipeptide conformations of all twenty amino acid types in the context of biosynthesis.

There have been many studies of dipeptide structure at a high level of accuracy using quantum chemical methods. Such calculations are resource-consuming (in terms of memory, CPU and other computational imperatives) which is the reason why most previous studies were restricted to the two simplest amino-acid residue types, glycine and alanine. We improve on this by extending the scope of residue types to include all 20 naturally occurring residue types. Our results reveal differences in secondary structure preferences for the all residue types. There are in most cases very deep energy troughs corresponding either to the polyproline II (collagen) helix and the α-helix or both. The β-strand was not strongly favoured energetically although the extent of this depression in the energy surface is, while not “deeper” (energetically), has a wider extent than the other two types of secondary structure. There is currently great interest in the question of cotranslational folding, the extent to which the nascent polypeptide begins to fold prior to emerging from the ribosome exit tunnel. Accordingly, while most previous quantum studies of dipeptides were carried out in the (simulated) gas or aqueous phase, we wished to consider the first step in polypeptide biosynthesis on the ribosome where neither gas nor aqueous conditions apply. We used a dielectric constant that would be compatible with the water-poor macromolecular (ribosome) environment.

Multi-Output Interval Type-2 Fuzzy Logic System for Protein Secondary Structure Prediction

A new multi-output interval type-2 fuzzy logic system (MOIT2FLS) is introduced for protein secondary structure prediction in this paper. Three outputs of the MOIT2FLS correspond to three structure classes including helix, strand (sheet) and coil. Quantitative properties of amino acids are employed to characterize twenty amino acids rather than the widely used computationally expensive binary encoding scheme. Three clustering tasks are performed using the adaptive vector quantization method to construct an equal number of initial rules for each type of secondary structure. Genetic algorithm is applied to optimally adjust parameters of the MOIT2FLS. The genetic fitness function is designed based on the Q3 measure. Experimental results demonstrate the dominance of the proposed approach against the traditional methods that are Chou-Fasman method, Garnier-Osguthorpe-Robson method, and artificial neural network models.

Many unique characteristics revealed by the complete mitochondrial genome of the scorpion Tityus serrulatus (Lutz e Mello 1922) (Chelicerata; Arachnida)

This is the first complete mitochondrial genome of a Tityus species, although it is the most medically important genus in South America. Tityus serrulatus (Brazilian yellow scorpion) mtDNA revealed the same gene arrangement of three out of four other mitogenomes published by now for the same family (Centruroides limpidus, Mesobuthus gibbosus, M. martensii and Buthus occitanus). However, it presented many unique characteristics such as possession of Cox1 gene, different from all other protein-coding genes of scorpion mtDNA, starts with an atypical start codon (CTG). Moreover, no tRNA gene have complete typical secondary structure and the Tytius genome presented three non-coding regions longer than 100bp. Also, it contains the smallest scorpion 16S gene reported by now. Phylogenetic analysis using concatenated homologous genes confirmed Buthidae as a monophyletic clade and supports a monophyletic group including T. serrulatus and the other American species, C. limpidus.

Neighboring-Site Effects of Amino Acid Substitutions in the Mouse Genome

Nucleotide evolution models benefit a lot from the reported neighbor-dependent nucleotide mutations. Investigations of neighboring-site effects of amino acid substitutions may also promote the development of protein evolution models. Here, the neighboring-site effects of amino acid substitutions in the mouse genome are evaluated by grouping the 20 amino acids into four categories: nonpolar neutral (NON), polar neutral (NEU), positive (POS) and negative (NEG) amino acids. Our data indicate that amino acid substitutions are evidently neighboring-site dependent, and the most prominent bias is the NEG→NEG substitution occurring in NEG_NEG context, the frequency of which is 2-fold higher than that of expectation. The neighboring-site effects are also correlated with some types of protein secondary structures. Through this study, we conclude that like neighbor-dependent nucleotide mutations, amino acid substitutions are also neighboring-site dependent. The mutation bias of nucleotide sequence and natural or functional selection on protein structure might be two underlying reasons for the neighboring-site effects of amino acid substitutions in the mouse genome. Keywords: Amino acid substitution, C- and N-terminal, mice genome, neighboring-site, preference, second protein structure.

G-quadruplex induced chirality of methylazacalix[6]pyridine via unprecedented binding stoichiometry: en route to multiplex controlled molecular switch.

Nucleic acid based molecular device is a developing research field which attracts great interests in material for building machinelike nanodevices. G-quadruplex, as a new type of DNA secondary structures, can be harnessed to construct molecular device owing to its rich structural polymorphism. Herein, we developed a switching system based on G-quadruplexes and methylazacalix[6]pyridine (MACP6). The induced circular dichroism (CD) signal of MACP6 was used to monitor the switch controlled by temperature or pH value. Furthermore, the CD titration, Job-plot, variable temperature CD and 1H-NMR experiments not only confirmed the binding mode between MACP6 and G-quadruplex, but also explained the difference switching effect of MACP6 and various G-quadruplexes. The established strategy has the potential to be used as the chiral probe for specific G-quadruplex recognition.

CSI 3.0: a web server for identifying secondary and super-secondary structure in proteins using NMR chemical shifts.

The Chemical Shift Index or CSI 3.0 (http://csi3.wishartlab.com) is a web server designed to accurately identify the location of secondary and super-secondary structures in protein chains using only nuclear magnetic resonance (NMR) backbone chemical shifts and their corresponding protein sequence data. Unlike earlier versions of CSI, which only identified three types of secondary structure (helix, β-strand and coil), CSI 3.0 now identifies total of 11 types of secondary and super-secondary structures, including helices, β-strands, coil regions, five common β-turns (type I, II, I′, II′ and VIII), β hairpins as well as interior and edge β-strands. CSI 3.0 accepts experimental NMR chemical shift data in multiple formats (NMR Star 2.1, NMR Star 3.1 and SHIFTY) and generates colorful CSI plots (bar graphs) and secondary/super-secondary structure assignments. The output can be readily used as constraints for structure determination and refinement or the images may be used for presentations and publications. CSI 3.0 uses a pipeline of several well-tested, previously published programs to identify the secondary and super-secondary structures in protein chains. Comparisons with secondary and super-secondary structure assignments made via standard coordinate analysis programs such as DSSP, STRIDE and VADAR on high-resolution protein structures solved by X-ray and NMR show >90% agreement between those made with CSI 3.0.

The Response of Greek Key Proteins to Changes in Connectivity Depends on the Nature of Their Secondary Structure

What governs the balance between connectivity and topology in regulating the mechanism of protein folding? We use circular permutation to vary the order of the helices in the all-α Greek key protein FADD (Fas-associated death domain) to investigate this question. Unlike all-β Greek key proteins, where changes in the order of secondary structure cause a shift in the folding nucleus, the position of the nucleus in FADD is unchanged, even when permutation reduces the complexity significantly. We suggest that this is because local helical contacts are so dominant that permutation has little effect on the entropic cost of forming the folding nucleus whereas, in all-β Greek key proteins, all interactions in the nucleus are long range. Thus, the type of secondary structure modulates the sensitivity of proteins to changes in connectivity.

Structure and binding of the C-terminal segment of R9AP to lipid monolayers.

Phototransduction cascade takes place in disc membranes of photoreceptor cells. Following its activation by light, rhodopsin activates the G-protein transducin causing the dissociation of its GTP-bound α-subunit, which in turn activates phosphodiesterase 6 (PDE6) leading to the hyperpolarization of photoreceptor cells. PDE6 must then be inactivated to return to the dark state. This is achieved by a protein complex which is presumably anchored to photoreceptor disc membranes by means of the transmembrane C-terminal segment of RGS9-1-Anchor Protein (R9AP). Information on the secondary structure and membrane binding properties of the C-terminal segment of R9AP is not yet available to further support its role in the membrane anchoring of this protein. In the present study, circular dichroism and infrared spectroscopy measurements have allowed us to determine that the C-terminal segment of human and bovine R9AP adopts an α-helical structure in solution. Moreover, this C-terminal segment has shown affinity for most of the phospholipids typical of photoreceptor membranes. In fact, the physical state and the type of phospholipid as well as electrostatic interactions influence the binding of the human and bovine peptides to phospholipid monolayers. In addition, these measurements revealed that the human peptide has a high affinity for saturated phosphocholine, which may suggest a possible localization of R9AP in photoreceptor microdomains. Accordingly, infrared spectroscopy measurements have allowed determining that the C-terminal segment of R9AP adopts an ordered α-helical structure in the presence of saturated phospholipid monolayers. Altogether, these data are consistent with the typical α-helical secondary structure and behavior observed for transmembrane segments and with the proposed role of membrane anchoring of the C-terminal segment of human and bovine R9AP.