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At least 19 recordsLinked to original sources
PubMed1986

Gene structure, protein structure, and regulation of the synthesis of a sulfur-rich protein in pea seeds.

Two low molecular weight pea seed albumins (Mr approximately 6000 and approximately 4000) have been characterized by protein, cDNA, and gene sequencing. Both proteins are encoded by separate regions of the same mRNA species. The initial translation product is a preproprotein from which a signal sequence is removed co-translationally. The resultant proprotein (PA1) is then cleaved post-translationally to yield the mature form of the two albumins (PA1a and PA1b). Comparison of cDNA and protein sequences suggests that at least four different PA1 genes are expressed in the pea genome. Both PA1a and PA1b have an unusually high cysteine content (7.5 and 16.2%, respectively). Pea seeds developing under suboptimal levels of sulfur nutrient supply contain reduced levels of PA1 mRNA and accumulate greatly reduced levels of PA1a and PA1b in the mature seed. In vitro transcription studies showed that this reduced level of PA1 mRNA resulted from reduced post-transcriptional stability rather than an altered rate of transcription of the PA1 gene. In contrast, during normal seed development, the level of PA1 mRNA seems to be under transcriptional control. Sequence comparisons reveal some homology between PA1 and a number of low molecular weight proteins from seeds of a wide range of mono- and dicotyledonous plants.

Albumins↗
PubMed1983

Two Drosophila actin genes in detail. Gene structure, protein structure and transcription during development.

DNA fragments representing the six Drosophila actin genes have been isolated by recombinant DNA techniques. We have compared the transcriptional characteristics of the actin genes at the cytological loci 79B and 88F. The activity of each gene in vivo was examined using gene-specific probes from transcribed, but non-translated 3' regions of each gene. The genes show similar patterns of transcriptional activity during development until the pupal stage, with two periods showing RNA accumulation at two to three hours and 12 to 15 hours during embryonic development, followed by large increases in the proportion of message from each gene in first and second instar larvae. During pupal development, the 88F gene apparently produces a larger proportion of transcripts than at any other developmental stage, while the transcripts of the 79B gene are reduced to a level lower than in first and second instar larvae. The 5' end of each messenger RNA in larvae has been mapped by nuclease S1 digestion of hybrids between restriction fragments of genes and homologous mRNAs. The two genes display widely differing capacities to serve as templates for transcription in vitro in HeLa cell extracts. The complete DNA sequences of both genes including the flanking regions immediately 3' and 5' to the gene are presented. These data permit comparison of the DNA sequences of these Drosophila actin genes with each other and with the DNA sequence and protein sequence information available for the actins of Drosophila and other organisms. These two genes share the common structural feature of an intervening sequence at amino acid 307, though the sequences within each intron differ greatly. This may be a reflection of a duplication event, followed by divergence of the intervening sequences. We discuss possible correlations between the DNA sequences of each 5' flanking region and the differences in transcriptional characteristics of these two distinct but closely related genes.

Actins↗
PubMed2007

Ensemble docking of multiple protein structures: considering protein structural variations in molecular docking.

One approach to incorporate protein flexibility in molecular docking is the use of an ensemble consisting of multiple protein structures. Sequentially docking each ligand into a large number of protein structures is computationally too expensive to allow large-scale database screening. It is challenging to achieve a good balance between docking accuracy and computational efficiency. In this work, we have developed a fast, novel docking algorithm utilizing multiple protein structures, referred to as ensemble docking, to account for protein structural variations. The algorithm can simultaneously dock a ligand into an ensemble of protein structures and automatically select an optimal protein structure that best fits the ligand by optimizing both ligand coordinates and the conformational variable m, where m represents the m-th structure in the protein ensemble. The docking algorithm was validated on 10 protein ensembles containing 105 crystal structures and 87 ligands in terms of binding mode and energy score predictions. A success rate of 93% was obtained with the criterion of root-mean-square deviation <2.5 A if the top five orientations for each ligand were considered, comparable to that of sequential docking in which scores for individual docking are merged into one list by re-ranking, and significantly better than that of single rigid-receptor docking (75% on average). Similar trends were also observed in binding score predictions and enrichment tests of virtual database screening. The ensemble docking algorithm is computationally efficient, with a computational time comparable to that for docking a ligand into a single protein structure. In contrast, the computational time for the sequential docking method increases linearly with the number of protein structures in the ensemble. The algorithm was further evaluated using a more realistic ensemble in which the corresponding bound protein structures of inhibitors were excluded. The results show that ensemble docking successfully predicts the binding modes of the inhibitors, and discriminates the inhibitors from a set of noninhibitors with similar chemical properties. Although multiple experimental structures were used in the present work, our algorithm can be easily applied to multiple protein conformations generated by computational methods, and helps improve the efficiency of other existing multiple protein structure(MPS)-based methods to accommodate protein flexibility.

Algorithms↗
PubMed2006

HARMONY: a server for the assessment of protein structures.

Protein structure validation is an important step in computational modeling and structure determination. Stereochemical assessment of protein structures examine internal parameters such as bond lengths and Ramachandran (varphi,psi) angles. Gross structure prediction methods such as inverse folding procedure and structure determination especially at low resolution can sometimes give rise to models that are incorrect due to assignment of misfolds or mistracing of electron density maps. Such errors are not reflected as strain in internal parameters. HARMONY is a procedure that examines the compatibility between the sequence and the structure of a protein by assigning scores to individual residues and their amino acid exchange patterns after considering their local environments. Local environments are described by the backbone conformation, solvent accessibility and hydrogen bonding patterns. We are now providing HARMONY through a web server such that users can submit their protein structure files and, if required, the alignment of homologous sequences. Scores are mapped on the structure for subsequent examination that is useful to also recognize regions of possible local errors in protein structures. HARMONY server is located at http://caps.ncbs.res.in/harmony/

Algorithms↗
PubMed1975

Fish rhabdoviruses: comparative study of protein structure.

Proteins from four fish rhabdoviruses have been studied by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. The viruses were: trout viral hemorrhagic septicemia (VHS), infectious hematopoietic necrosis virus (IHN), spring viremia virus of carp (SVC), and the pike fry rhabdovirus (PFR). For the two salmonid viruses (VHS-IHN), gel electrophoresis indicated the proteins, with molecular weights estimated to be 190,000, 80,000, 38,000, 25,000, and 19,000, respectively. The electrophoretic profile of the two other viruses (SVC-PFR) revealed four major proteins with molecular weights of 190,000 80,000 42,000 and 21,000, respectively. In this case a minor component with 50,000 daltons was found. For each virus only one protein was found to be glycosylated, i.e., the one with a molecular weight of 80,000. A major protein (molecular weight between 38,000 and 42,000) was found to be associated with the nucleocapsid. All these results revealed marked similarities in protein structure between the four fish rhabdoviruses and the previously well-characterized members of rhabdovirus group. However, one can distinguish two groups of viruses: the first one is composed of salmonid viruses (VHS and IHN) with a protein structure comparable to that of rabies virus and potato yellow dwarf virus; the second one is composed of carp and pike viruses, having a protein structure very similar to that of vesicular stomatitis virus.

Animals↗
PubMed2006

Statistical potential for assessment and prediction of protein structures.

Protein structures in the Protein Data Bank provide a wealth of data about the interactions that determine the native states of proteins. Using the probability theory, we derive an atomic distance-dependent statistical potential from a sample of native structures that does not depend on any adjustable parameters (Discrete Optimized Protein Energy, or DOPE). DOPE is based on an improved reference state that corresponds to noninteracting atoms in a homogeneous sphere with the radius dependent on a sample native structure; it thus accounts for the finite and spherical shape of the native structures. The DOPE potential was extracted from a nonredundant set of 1472 crystallographic structures. We tested DOPE and five other scoring functions by the detection of the native state among six multiple target decoy sets, the correlation between the score and model error, and the identification of the most accurate non-native structure in the decoy set. For all decoy sets, DOPE is the best performing function in terms of all criteria, except for a tie in one criterion for one decoy set. To facilitate its use in various applications, such as model assessment, loop modeling, and fitting into cryo-electron microscopy mass density maps combined with comparative protein structure modeling, DOPE was incorporated into the modeling package MODELLER-8.

Computational Biology↗
PubMed2006

Protein Alpha Shape (PAS) Dock: a new gaussian-based score function suitable for docking in homology modelled protein structures.

Protein Alpha Shape (PAS) Dock is a new empirical score function suitable for virtual library screening using homology modelled protein structures. Here, the score function is used in combination with the geometry search method Tabu search. A description of the protein binding site is generated using gaussian property fields like in Protein Alpha Shape Similarity Analysis (PASSA). Gaussian property fields are also used to describe the ligand properties. The overlap between the receptor and ligand hydrophilicity and lipophilicity fields is maximised, while minimising steric clashes. Gaussian functions introduce a smoothing of the property fields. This makes the score function robust against small structural variations, and therefore suitable for use with homology models. This also makes it less critical to include protein flexibility in the docking calculations. We use a fast and simplified version of the score function in the geometry search, while a more detailed version is used for the final prediction of the binding free energies. This use of a two-level scoring makes PAS-Dock computationally efficient, and well suited for virtual screening. The PAS-Dock score function is trained on 218 X-ray structures of protein- ligand complexes with experimental binding affinities. The performance of PAS-Dock is compared to two other docking methods, AutoDock and MOE-Dock, with respect to both accuracy and computational efficiency. According to this study, PAS-Dock is more computationally efficient than both AutoDock and MOE-Dock, and gives a better prediction of the free energies of binding. PAS-Dock is also more robust against structural variations than AutoDock.

Algorithms↗
PubMed2006

ProKware: integrated software for presenting protein structural properties in protein tertiary structures.

Protein tertiary structure plays an essential role in deciphering protein functions, especially protein structural properties, including domains, active sites and post-translational modifications. These properties typically yield useful clues for understanding protein functions. This work presents an integrated software, named ProKware, that presents protein structural properties in protein tertiary structures, such as domains, functional sites, families, active sites, binding sites, post-translational modifications and domain-domain interaction. Using this web-based and Windows-based interface, users can manipulate and visualize three-dimensional protein structures, as well as the supported structural properties that are curated in the protein knowledge database. ProKware is an effective and convenient solution for investigating protein functions and structural relationships. This software can be accessed on the internet at http://ProKware.mbc.nctu.edu.tw/.

Binding Sites↗
PubMed1994

Functional complementation of nuclear targeting-defective mutants of simian virus 40 structural proteins.

Structural proteins of simian virus 40 (SV40), Vp2 and Vp3 (Vp2/3) and Vp1, carry individual nuclear targeting signals, Vp3(198-206) (Vp2(316-324) and Vp1(1-8), respectively, which are encoded in different reading frames of an overlapping region of the genome. How signals coordinate nuclear targeting during virion morphogenesis was examined by using SV40 variants in which there is only one structural gene for Vp1 or Vp2/3, nuclear targeting-defective mutants thereof, Vp2/3(202T) and Vp1 delta N5, or nonoverlapping SV40 variants in which the genes for Vp1 and Vp2/3 are separated, and mutant derivatives of the gene carrying either one or both mutations. Nuclear targeting was assessed immunocytochemically following nuclear microinjection of the variant DNAs. When Vp2/3 and Vp1 mutants with defects in the nuclear targeting signals were expressed individually, the mutant proteins localized mostly to the cytoplasm. However, when mutant Vp2/3(202T) was coexpressed in the same cell along with wild-type Vp1, the mutant protein was effectively targeted to the nucleus. Likewise, the Vp1 delta N5 mutant protein was transported into the nucleus when wild-type Vp2/3 was expressed in the same cells. These results suggest that while Vp1 and Vp2/3 have independent nuclear targeting signals, additional signals, such as those defining protein-protein interactions, play a concerted role in nuclear localization along with the nuclear targeting signals of the individual proteins.

Animals↗
PubMed2000

The ups and downs of protein topology; rapid comparison of protein structure.

Protein topology can be described at different levels. At the most fundamental level, it is a sequence of secondary structure elements (a "primary topology string"). Searching predicted primary topology strings against a library of strings from known protein structures is the basis of some protein fold recognition methods. Here a method known as TOPSCAN is presented for rapid comparison of protein structures. Rather than a simple two-letter alphabet (encoding strand and helix), more complex alphabets are used encoding direction, proximity, accessibility and length of secondary elements and loops in addition to secondary structure. Comparisons are made between the structural information content of primary topology strings and encodings which contain additional information ("secondary topology strings"). The algorithm is extremely fast, with a scan of a large domain against a library of more than 2000 secondary structure strings completing in approximately 30 s. Analysis of protein fold similarity using TOPSCAN at primary and secondary topology levels is presented.

Amino Acid Sequence↗
PubMed1981

High yield growth and purification of human parainfluenza type 3 virus and initial analysis of viral structural proteins.

Structural proteins from a large-plaque variant (LPV) of human parainfluenza type 3 virus were analysed by electrophoresis on Laemmli-type polyacrylamide gels. High virus concentrations were obtained by growth in BS-C-1 cells cultivated on microcarrier beads. Purification of the virus in composite equilibrium gradients of potassium tartrate:glycerol resulted in 25% recovery of input infectivity and a preparation containing less than 0.08% of input host cell protein and RNA. Parainfluenza type 3 virus equilibrated at a density of 1.20 g/ml in these gradients. Analysis by polyacrylamide gel electrophoresis of 3H-glucosamine-labelled virus taken from peak gradient fractions revealed 8 or 9 major virion peptides, ranging in mol. wt. from 17 x 10(3) to 125 x 10(3) (17K to 125K), two of which were glycoproteins. The sum of the estimated mol. wt. of these peptides, 501.5K to 570.5K, does not exceed the estimated genomic potential of other paramyxoviruses.

Electrophoresis, Polyacrylamide Gel↗
PubMedDate not supplied

Flexible secondary structure based protein structure comparison applied to the detection of circular permutation.

We present a novel method for structural comparison of protein structures. The approach consists of two main phases: 1) an initial search phase where, starting from aligned pairs of secondary structure elements, the space of 3D transformations is searched for similarities and 2) a subsequent refinement phase where interim solutions are subjected to parallel, local, iterative dynamic programming in the areas of possible improvement. The proposed method combines dynamic programming for finding alignments but does not restrict solutions to be sequential. In addition, to deal with the problem of nonuniqueness of optimal similarities, we introduce a consensus scoring method in selecting the preferred similarity and provide a list of top-ranked solutions. The method, called FASE (flexible alignment of secondary structure elements), was tested on well-known data and various standard problems from the literature. The results show that FASE is able to find remote and weak similarities consistently using a reasonable run time. The method was tested (using the SCOP database) on its ability to discriminate interfold pairs from intrafold pairs at the level of the best existing methods. The method was then applied to the problem of finding circular permutations in proteins.

Animals↗
PubMed2004

DomIns: a web resource for domain insertions in known protein structures.

Proteins can be formed by single or multiple domains. The process of recombination at the molecular level has generated a wide variety of multi-domain proteins with specific domain organization to cater to the functional requirements of an organism. The functional and structural costs of inserting a domain into another means that multi-domain proteins are usually formed by covalently linking the N-terminus of one domain to the C-terminus of the preceding domain. While this is true in a large proportion of multi-domain proteins, we find a significant fraction of proteins that are the result of domain insertion. The inserted domain breaks the sequence contiguity of the domain into which it is inserted leading to a novel domain organization. This web resource aims to document domain insertions in known protein structures that are classified in the SCOP database. The web server can be accessed from http://stash.mrc-lmb.cam. ac.uk/DomIns/.

Amino Acid Sequence↗
PubMed1996

Rotavirus structure: interactions between the structural proteins.

Structural studies on rotavirus using electron cryomicroscopy and computer image analysis have permitted visualization of each shell in the triple-layered rotavirus structure. Biochemical results have aided our interpretation of the structural organization of these layers and protein interactions seen in the three-dimensional structure, and have provided a better understanding of the structure-function relationships of the rotavirus structural proteins.

Capsid↗
PubMed2004

Flexibility of beta-sheets: principal component analysis of database protein structures.

Protein folds are built primarily from the packing together of two types of structures: alpha-helices and beta-sheets. Neither structure is rigid, and the flexibility of helices and sheets is often important in determining the final fold (e.g., coiled coils and beta-barrels). Recent work has quantified the flexibility of alpha-helices using a principal component analysis (PCA) of database helical structures (J. Mol. Bio. 2003, 327, pp. 229-237). Here, we extend the analysis to beta-sheet flexibility using PCA on a database of beta-sheet structures. For sheets of varying dimension and geometry, we find two dominant modes of flexibility: twist and bend. The distributions of amplitudes for these modes are found to be Gaussian and independent, suggesting that the PCA twist and bend modes can be identified as the soft elastic normal modes of sheets. We consider the scaling of mode eigenvalues with sheet size and find that parallel beta-sheets are more rigid than antiparallel sheets over the entire range studied. Finally, we discuss the application of our PCA results to modeling and design of beta-sheet proteins.

Databases, Protein↗
PubMed2000

Aqueous two-phase systems containing urea: influence of protein structure on protein partitioning.

During recombinant E. coli fermentation with high-expression levels inclusion bodies are often formed. Aqueous two-phase systems have been successfully used in the presence of urea for the initial recovery step of inclusion bodies from E. coli. Basic studies of the complex interactions are lacking. For a systematic study of protein partitioning in the presence of urea we selected T4-lysozyme mutants with different thermal stability as a model. The stabilization of these variants by phase components was investigated measuring the fluorescence emission of tryptophan residues in the protein. Protein structure was stabilized at pH 7 in the order of S0(4)(2-) >> PEG = Dextran > H(2)O. The conformation of proteins was shown to have a strong influence on the partitioning in aqueous two-phase systems. Tryptophan and its homologuous di- and tripeptdides were partitioned in similar phase systems to normalize for contribution from hydrophobic interactions.

Bacteriophage T4↗
PubMed2006

A framework for protein structure classification and identification of novel protein structures.

BACKGROUND: Protein structure classification plays a central role in understanding the function of a protein molecule with respect to all known proteins in a structure database. With the rapid increase in the number of new protein structures, the need for automated and accurate methods for protein classification is increasingly important. RESULTS: In this paper we present a unified framework for protein structure classification and identification of novel protein structures. The framework consists of a set of components for comparing, classifying, and clustering protein structures. These components allow us to accurately classify proteins into known folds, to detect new protein folds, and to provide a way of clustering the new folds. In our evaluation with SCOP 1.69, our method correctly classifies 86.0%, 87.7%, and 90.5% of new domains at family, superfamily, and fold levels. Furthermore, for protein domains that belong to new domain families, our method is able to produce clusters that closely correspond to the new families in SCOP 1.69. As a result, our method can also be used to suggest new classification groups that contain novel folds. CONCLUSION: We have developed a method called proCC for automatically classifying and clustering domains. The method is effective in classifying new domains and suggesting new domain families, and it is also very efficient. A web site offering access to proCC is freely available at http://www.eecs.umich.edu/periscope/procc.

Artificial Intelligence↗