Identification of consensus RNA secondary structures using suffix arrays

Background  

The identification of a consensus RNA motif often consists in finding a conserved secondary structure with minimum free energy in an ensemble of aligned sequences. However, an alignment is often difficult to obtain without prior structural information. Thus the need for tools to automate this process.     

Elucidating protein secondary structures using alpha-carbon recurrence quantifications.

Secondary structures of proteins were studied by recurrence quantification analysis (RQA). High-resolution, 3-dimensional coordinates of alpha-carbon atoms comprising a set of 68 proteins were downloaded from the Protein Data Bank. By fine-tuning four recurrence parameters (radius, line, residue, separation), it was possible to establish excellent agreement between percent contribution of alpha-helix and beta-sheet structures determined independently by RQA and that of the DSSP algorithm (Define Secondary Structure of Proteins). These results indicate that there is an equivalency between these two techniques, which are based upon totally different pattern recognition strategies. RQA enhances qualitative contact maps by quantifying the arrangements of recurrent points of alpha carbons close in 3-dimensional space. For example, the radius was systematically increased, moving the analysis beyond local alpha-carbon neighborhoods in order to capture super-secondary and tertiary structures. However, differences between proteins could only be detected within distances up to about 6-11 A, but not higher. This result underscores the complexity of alpha-carbon spacing when super-secondary structures appear at larger distances. Finally, RQA-defined secondary structures were found to be robust against random displacement of alpha carbons upwards of 1 A. This finding has potential import for the dynamic functions of proteins in motion.     

A novel fingerprint for the characterization of protein folds

A novel fingerprint, defined without the use of distances, is introduced to characterize protein folds. It is of the form of binary matrices whose elements are defined by angles between the C=O direction, the backbone axis and the line connecting the alpha-carbons of the various residues. It is shown that matches in the fingerprint matrices correspond to low r.m.s.d.     

The hydration of protein secondary structures

The hydration of the main-chain carbonyl (CO) groups in proteins have been studied using infra-red spectroscopy, and computer-graphics analysis of high resolution protein crystal structures. The IR measurements indicate that the strength of water binding to the CO groups is lower in beta-sheet proteins compared with alpha-helical ones. Analysis of the protein crystal structures shows that this is due primarily to differences in the geometry of water-CO group interactions in the two types of secondary structure.     

A model of morphogenesis for protein secondary structures.

This paper proposes a model for the expected probability distribution for a certain class of biological structures. In particular, a model is derived for the distribution of lengths of helices, sheets, turns, and coils as a function of the length of the structure divided by the length of the protein it is contained in. A fit between the derived lognormal function and the structures for some proteins whose three-dimensional structure is known was significant. The fit produces fundamental parameters particular to each structure type that are related to the underlying structure and its morphogenesis. The importance of the result is that a universal mathematical distribution can be used to explain certain protein morphogeneses. Also, these fundamental parameters can be used as an aid in predicting whether a given sequence is a particular secondary structure or not, without a knowledge of its three-dimensional structure.     

A relational database of protein structures designed for flexible enquiries about conformation

A relational database of protein structure has been developed to enable rapid and flexible enquiries about the occurrence of many aspects of protein architecture. The coordinates of 294 proteins from the Brookhaven Data Bank have been processed by standard computer programs to generate many additional terms that quantify aspects of protein structure. These terms include solvent accessibility, main-chain and side-chain dihedral angles, and secondary structure. In a relational database, the information is stored in tables with columns holding the different terms and rows holding the different entries for the terms. The different relational base tables store the information about the protein coordinate set, the different chains in the protein, the amino acid residues and ligands, the atomic coordinates, the salt bridges, the hydrogen bonds, the disulphide bridges and the close tertiary contacts. The database was established under ORACLE management system. Enquiries are constructed in ORACLE using SQL (structured query language) which is simple to use and alleviates the need for extensive computer programs. A single table can be searched for entries that meet various criteria, e.g. all protein solved to better than a given resolution. The power of the database occurs when several tables, or the entries in a single table, are cross-correlated. For example the dihedral angles of proline in the fourth position in an alpha-helix in high resolution structures can be rapidly obtained. The structural database provides a powerful tool to obtain empirical rules about protein conformation. This database of protein structures is part of a joint project between Birkbeck College and Leeds University to establish an integrated data resource of protein sequences and structures (ISIS) that encodes the complex patterns of residues and coordinates that define protein conformation. The entire data resource (ISIS) will provide a system to guide all areas of protein modelling including structure prediction, site-directed mutagenesis and de novo protein design. The availability of ISIS is described in the paper.     

Membrane protein assembly patterns reflect selection for non-proliferative structures

Membrane proteins that regulate solute movement are often built from multiple copies of an identical polypeptide chain. These complexes represent striking examples of self-assembling systems that recruit monomers only until a prescribed level for function is reached. Here we report that three modes of assembly - distinguished by sequence and stoichiometry - describe all helical membrane protein complexes currently solved to high resolution. Using the 13 presently available non-redundant homo-oligomeric structures, we show that two of these types segregate with protein function: one produces energy-dependent transporters, while the other builds channels for passive diffusion. Given such limited routes to functional complexes, membrane proteins that self-assemble exist on the edge of aggregation, susceptible to mutations that may underlie human diseases.     

Construction and characterization of a fluorescent sendai virus carrying the gene for envelope fusion protein fused with enhanced green fluorescent protein

Sendai virus (SeV) is an enveloped virus with a non-segmented negative-strand RNA genome. SeV envelope fusion (F) glycoproteins play crucial roles in the viral life cycle in processes such as viral binding, assembly, and budding. In this study, we developed a viable recombinant SeV designated F-EGFP SeV/ΔF, in which the F protein was replaced by an F protein fused to EGFP at the carboxyl terminus. Living infected cells of the recombinant virus were directly visualized by green fluorescence. The addition of EGFP to the F protein maintained the activities of the F protein in terms of intracellular transport to the plasma membrane via the ER and the Golgi apparatus and fusion activity in the infected cells. These results suggest that this fluorescent SeV is a useful tool for studying the viral binding, assembly, and budding mechanisms of F proteins and the SeV life cycle in living infected cells.     

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.     

A simple motif for protein recognition in DNA secondary structures

DNA in a single-stranded form (ssDNA) exists transiently within the cell and comprises the telomeres of linear chromosomes and the genomes of some DNA viruses. As with RNA, in the single-stranded state, some DNA sequences are able to fold into complex secondary and tertiary structures that may be recognized by proteins and participate in gene regulation. To better understand how such DNA elements might fold and interact with proteins, and to compare recognition features to those of a structured RNA, we used in vitro selection to identify ssDNAs that bind an RNA-binding peptide from the HIV Rev protein with high affinity and specificity. The large majority of selected binders contain a non-Watson-Crick G.T base-pair and an adjacent C:G base-pair and both are essential for binding. This GT motif can be presented in different DNA contexts, including a nearly perfect duplex and a branched three-helix structure, and appears to be recognized in large part by arginine residues separated by one turn of an alpha-helix. Interestingly, a very similar GT motif is necessary also for protein binding and function of a well-characterized model ssDNA regulatory element from the proenkephalin promoter.     

Influence of cell surface structures on crenarchaeal biofilm formation using a thermostable green fluorescent protein

The thermoacidophilic crenarchaeote Sulfolobus acidocaldarius displays three distinct type IV pili-like structures on its surface: (i) the flagellum, (ii) the UV-induced pili and (iii) the adhesive pili. In bacteria, surface appendages play an important role in the spatial organization of cells from initial surface attachment to the development of mature community structures. To investigate the influence of the diverse set of type IV pili-like structures in S. acidocaldarius, single, double and triple mutants lacking the cell surface appendages were constructed and analysed for their behaviour in attachment assays and during biofilm formation. A heat stable green fluorescent protein was employed the first time in a hyperthermophilic archaeon. A codon adjusted eCGP123 was expressed to study mixed biofilms of different deletion mutants to understand the interplay of the surface structures during biofilm formation. During this process the deletion of the adhesive pili and UV-induced pili led to the most pronounced effects, either an increase in cell density or increased cluster formation respectively. However, all three cell surface appendages played a role in the colonization of surfaces and only the interplay of all three appendages leads to the observed wild-type biofilm phenotype.     

Development and characterization of green fluorescent protein mutants with altered lifetimes

Multiple-probe fluorescence imaging applications demand an ever-increasing number of resolvable probes, and the use of fluorophores with resolvable fluorescence lifetimes can help meet this demand. Green fluorescent protein (GFP) and its variants have been widely used in spectrally resolved multiprobe imaging, but as yet, there has not been a systematic set of mutants generated with resolvable lifetimes. Therefore, to generate such mutants, we have utilized error-prone PCR and fluorescence lifetime imaging to screen for mutants of UV-excited green fluorescent protein (GFPuv) that exhibit altered fluorescence decay lifetimes. This has resulted in the isolation of GFPuv mutants displaying at least three distinctly different lifetimes in the range of 1.9-2.8 ns. Mutation of Y145 to either histidine or cysteine was found to shift the fluorescence lifetime of GFPuv from 3.03 +/- 0.03 to 2.78 +/- 0.05 ns for the Y145H mutant and to 2.74 +/- 0.05 ns for Y145C. Some of the shorter-lifetime mutants exhibited excitation peaks that were red-shifted relative to their maximal absorption, indicating that the mutations allowed the adoption of additional conformations relative to wtGFPuv. The utility of these mutants for applications in simultaneous imaging and quantification is shown by the ability to quantify the composition of binary mixtures in time-resolved images using a single detector channel. The application of the screening method for generating lifetime mutants of other fluorescent proteins is also discussed.     

High-throughput kinase assays with protein substrates using fluorescent polymer superquenching

Background  

High-throughput screening is used by the pharmaceutical industry for identifying lead compounds that interact with targets of pharmacological interest. Because of the key role that aberrant regulation of protein phosphorylation plays in diseases such as cancer, diabetes and hypertension, kinases have become one of the main drug targets. With the exception of antibody-based assays, methods to screen for specific kinase activity are generally restricted to the use of small synthetic peptides as substrates. However, the use of natural protein substrates has the advantage that potential inhibitors can be detected that affect enzyme activity by binding to a site other than the catalytic site. We have previously reported a non-radioactive and non-antibody-based fluorescence quench assay for detection of phosphorylation or dephosphorylation using synthetic peptide substrates. The aim of this work is to develop an assay for detection of phosphorylation of chemically unmodified proteins based on this polymer superquenching platform.     

Knowledge-based computational intelligence development for predicting protein secondary structures from sequences

In the postgenomic age, with the avalanche of protein sequences generated and relatively slow progress in determining their structures by experiments, it is important to develop automated methods to predict the structure of a protein from its sequence. The membrane proteins are a special group in the protein family that accounts for approximately 30% of all proteins; however, solved membrane protein structures only represent less than 1% of known protein structures to date. Although a great success has been achieved for developing computational intelligence techniques to predict secondary structures in both globular and membrane proteins, there is still much challenging work in this regard. In this review article, we firstly summarize the recent progress of automation methodology development in predicting protein secondary structures, especially in membrane proteins; we will then give some future directions in this research field.     

Spectrum of disease-causing mutations in protein secondary structures

Background  

Most genetic disorders are linked to missense mutations as even minor changes in the size or properties of an amino acid can alter or prevent the function of the protein. Further, the effect of a mutation is also dependent on the sequence and structure context of the alteration.     

Determining protein topology from skeletons of secondary structures

We report a novel computational procedure for determining protein native topology, or fold, by defining loop connectivity based on skeletons of secondary structures that can usually be obtained from low to intermediate-resolution density maps. The procedure primarily involves a knowledge-based geometry filter followed by an energetics-based evaluation. It was tested on a large set of skeletons covering a wide range of protein architecture, including one modeled from an experimentally determined 7.6A cryo-electron microscopy (cryo-EM) density map. The results showed that the new procedure could effectively deduce protein folds without high-resolution structural data, a feature that could also be used to recognize native fold in structure prediction and to interpret data in fields like structure genomics. Most importantly, in the energetics-based evaluation, it was revealed that, despite the inevitable errors in the artificially constructed structures and limited accuracy of knowledge-based potential functions, the average energy of an ensemble of structures with slightly different configurations around the native skeleton is a much more robust parameter for marking native topology than the energy of individual structures in the ensemble. This result implies that, among all the possible topology candidates for a given skeleton, evolution has selected the native topology as the one that can accommodate the largest structural variations, not the one rigidly trapped in a deep, but narrow, conformational energy well.     

Knowledge-based computational intelligence development for predicting protein secondary structures from sequences

In the postgenomic age, with the avalanche of protein sequences generated and relatively slow progress in determining their structures by experiments, it is important to develop automated methods to predict the structure of a protein from its sequence. The membrane proteins are a special group in the protein family that accounts for approximately 30% of all proteins; however, solved membrane protein structures only represent less than 1% of known protein structures to date. Although a great success has been achieved for developing computational intelligence techniques to predict secondary structures in both globular and membrane proteins, there is still much challenging work in this regard. In this review article, we firstly summarize the recent progress of automation methodology development in predicting protein secondary structures, especially in membrane proteins; we will then give some future directions in this research field.     

Random PCR-based screening for soluble domains using green fluorescent protein

A novel approach to screen soluble protein domains is presented, by combining tagged random primer polymerase chain reaction (PCR) method and protein-folding assay using green fluorescent protein. Tagged random primer PCR method was used to amplify random DNA fragments from a template cDNA. The PCR products were fused to the green fluorescent protein (GFP) gene. Then solubilities of their translation products were rapidly monitored by the fluorescence of transformed Escherichia coli colonies on plates. We succeeded in cloning four soluble domains from Vav protein using this method. The present method is applicable to all proteins when cDNAs are available.     

Cell tracking using a photoconvertible fluorescent protein

The tracking of cell fate, shape and migration is an essential component in the study of the development of multicellular organisms. Here we report a protocol that uses the protein Kaede, which is fluorescent green after synthesis but can be photoconverted red by violet or UV light. We have used Kaede along with confocal laser scanning microscopy to track labeled cells in a pattern of interest in zebrafish embryos. This technique allows the visualization of cell movements and the tracing of neuronal shapes. We provide illustrative examples of expression by mRNA injection, mosaic expression by DNA injection, and the creation of permanent transgenic fish with the UAS-Gal4 system to visualize morphogenetic processes such as neurulation, placode formation and navigation of early commissural axons in the hindbrain. The procedure can be adapted to other photoconvertible and reversible fluorescent molecules, including KikGR and Dronpa; these molecules can be used in combination with two-photon confocal microscopy to specifically highlight cells buried in tissues. The total time needed to carry out the protocol involving transient expression of Kaede by injection of mRNA or DNA, photoconversion and imaging is 2-8 d.