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PubMed2004

A simple topological representation of protein structure: implications for new, fast, and robust structural classification.

A topological representation of proteins is developed that makes use of two metrics: the Euclidean metric for identifying natural nearest neighboring residues via the Delaunay tessellation in Cartesian space and the distance between residues in sequence space. Using this representation, we introduce a quantitative and computationally inexpensive method for the comparison of protein structural topology. The method ultimately results in a numerical score quantifying the distance between proteins in a heuristically defined topological space. The properties of this scoring scheme are investigated and correlated with the standard Calpha distance root-mean-square deviation measure of protein similarity calculated by rigid body structural alignment. The topological comparison method is shown to have a characteristic dependence on protein conformational differences and secondary structure. This distinctive behavior is also observed in the comparison of proteins within families of structural relatives. The ability of the comparison method to successfully classify proteins into classes, superfamilies, folds, and families that are consistent with standard classification methods, both automated and human-driven, is demonstrated. Furthermore, it is shown that the scoring method allows for a fine-grained classification on the family, protein, and species level that agrees very well with currently established phylogenetic hierarchies. This fine classification is achieved without requiring visual inspection of proteins, sequence analysis, or the use of structural superimposition methods. Implications of the method for a fast, automated, topological hierarchical classification of proteins are discussed.

Amino Acid Sequence↗

PubMed1992

Characterization of the structural proteins of hemorrhagic enteritis virus.

The structural proteins of hemorrhagic enteritis (HEV), a turkey adenovirus, were analyzed by polyacrylamide gel electrophoresis (PAGE) and Western blotting using polyspecific, monospecific and monoclonal antibodies for detection. In purified HEV preparations, eleven polypeptides with apparent molecular weights ranging from 96,000 to 9,500 (96k to 9.5k), were specifically recognized by convalescent turkey serum. Six of these polypeptides were further characterized by PAGE, Western blotting, ELISA, sucrose gradient centrifugation and electron microscopy. The 96k polypeptide was identified as the hexon polypeptide which is a monomer of the major outer capsid or hexon protein. The 51/52k and 29k polypeptides, identified as the penton base and fiber polypeptides respectively, were the components of the vertex or penton protein. The 57k polypeptide was identified as a homologue of the human adenovirus type 2 (Ad 2) IIIa protein with which it shares a common epitope. Two core proteins with molecular weights of 12.5 and 9.5k were present in purified HEV nucleoprotein cores. The proteins of two HEV isolates, one apathogenic (HEV-A) and one virulent (HEV-V), resembled each other in most respects. However, differences between HEV-A and HEV-V were found in electrophoretic migration of the penton base protein both under native and denatured conditions, and in the electrophoretic migration of the 43/44k polypeptide. Moreover, homologous antiserum against the fiber protein reacted stronger than heterologous antiserum in an ELISA. Single fibers were detected by electron microscopy attached to the penton base proteins of HEV virions and in isolated pentons. The feature of having single fibers is shared with the mammalian adenoviruses and the avian egg drop syndrome 1976 virus (EDS 76 V), but not with the fowl adenoviruses which have double fibers attached to their penton base proteins.

Adenoviruses, Human↗

PubMed1993

Temporal expression and immunogold localization of Plodia interpunctella granulosis virus structural proteins.

Monospecific antisera were produced against four structural proteins (VP12, VP17, VP31, and granulin) of the Plodia interpunctella granulosis virus using polypeptides derived by sodium dodecyl sulfate-polyacrylamide gel electrophoresis or acid extraction. The antisera were shown to be specific on immunoblots of SDS-PAGE separated granulosis virus and were further used to detect structural proteins in infected fat body lysates. Immunoblots of fat body lysates from early stages of infection indicated that VP12, VP17, VP31, and granulin were expressed by 2.5 days post-infection. Immunogold labeling of the virus using the monospecific antisera and electron microscopy confirmed earlier reports that granulin is located in the protein matrix, V17 is an envelope protein, and VP31 is a capsid protein.

Animals↗

PubMed1995

Neural network system for the evaluation of side-chain packing in protein structures.

An artificial neural network system is used for pattern recognition in protein side-chain-side-chain contact maps. A back-propagation network was trained on a set of patterns which are popular in side-chain contact maps of protein structures. Several neural network architectures and different training parameters were tested to decide on the best combination for the neural network. The resulting network can distinguish between original (from protein structures) and randomized patterns with an accuracy of 84.5% and a Matthews' coefficient of 0.72 for the testing set. Applications of this system for protein structure evaluation and refinement are also proposed. Examples include structures obtained after the application of molecular dynamics to crystal structures, structures obtained from X-ray crystallography at various stages of refinement, structures obtained from a de novo folding algorithm and deliberately misfolded structures.

Amino Acid Sequence↗

PubMed1999

Recognition of spatial motifs in protein structures.

As the structural database continues to expand, new methods are required to analyse and compare protein structures. Whereas the recognition, comparison, and classification of folds is now more or less a solved problem, tools for the study of constellations of small numbers of residues are few and far between. In this paper, two programs are described for the analysis of spatial motifs in protein structures. The first, SPASM, can be used to find the occurrence of a motif consisting of arbitrary main-chain and/or side-chains in a database of protein structures. The program also has a unique capability to carry out "fuzzy pattern matching" with relaxed requirements on the types of some or all of the matching residues. The second program, RIGOR, scans a single protein structure for the occurrence of any of a set of pre-defined motifs from a database. In one application, spatial motif recognition combined with profile analysis enabled the assignment of the structural and functional class of an uncharacterised hypothetical protein in the sequence database. In another application, the occurrence of short left-handed helical segments in protein structures was investigated, and such segments were found to be fairly common. Potential applications of the techniques presented here lie in the analysis of (newly determined) structures, in comparative structural analysis, in the design and engineering of novel functional sites, and in the prediction of structure and function of uncharacterised proteins.

Algorithms↗

PubMed1997

Advances in comparative protein-structure modelling.

Comparative modelling of protein 3D structure can now be applied with reasonable accuracy to ten times more protein sequences than the number of experimentally determined protein structures. A protein sequence that has at least 40% identity to a known structure can be modelled automatically with an accuracy approaching that of a low resolution X-ray structure or a medium resolution NMR structure. Currently, the errors in comparative models include mistakes in the packing of sidechains, in the conformation and shifts of the core segments and loops, and, most importantly, in an incorrect alignment of the modelled sequence with related known structures. Nevertheless, the number of applications in which comparative modelling has been proven to be useful has grown rapidly.

Crystallography, X-Ray↗

PubMed2003

TOUCHSTONE II: a new approach to ab initio protein structure prediction.

We have developed a new combined approach for ab initio protein structure prediction. The protein conformation is described as a lattice chain connecting C(alpha) atoms, with attached C(beta) atoms and side-chain centers of mass. The model force field includes various short-range and long-range knowledge-based potentials derived from a statistical analysis of the regularities of protein structures. The combination of these energy terms is optimized through the maximization of correlation for 30 x 60,000 decoys between the root mean square deviation (RMSD) to native and energies, as well as the energy gap between native and the decoy ensemble. To accelerate the conformational search, a newly developed parallel hyperbolic sampling algorithm with a composite movement set is used in the Monte Carlo simulation processes. We exploit this strategy to successfully fold 41/100 small proteins (36 approximately 120 residues) with predicted structures having a RMSD from native below 6.5 A in the top five cluster centroids. To fold larger-size proteins as well as to improve the folding yield of small proteins, we incorporate into the basic force field side-chain contact predictions from our threading program PROSPECTOR where homologous proteins were excluded from the data base. With these threading-based restraints, the program can fold 83/125 test proteins (36 approximately 174 residues) with structures having a RMSD to native below 6.5 A in the top five cluster centroids. This shows the significant improvement of folding by using predicted tertiary restraints, especially when the accuracy of side-chain contact prediction is >20%. For native fold selection, we introduce quantities dependent on the cluster density and the combination of energy and free energy, which show a higher discriminative power to select the native structure than the previously used cluster energy or cluster size, and which can be used in native structure identification in blind simulations. These procedures are readily automated and are being implemented on a genomic scale.

Algorithms↗

PubMed2005

Instrumental parameters in the MALDI-TOF mass spectrometric analysis of quaternary protein structures.

Several former studies have shown that MALDI-TOF-MS can be applied successfully to investigate the quaternary structure of proteins. Whereas most of these reports were focused on MALDI sample preparation, there is little information about the influence of instrumental parameters on the desorption/ionization and gas-phase behavior of protein subunit assemblies. Therefore, in addition of giving short examples of the quaternary structure analysis of a microheterogeneous glycoprotein, a metalloenzyme, and a heme-binding enzyme by MALDI-TOF-MS, we report a systematic study of the effect of some instrumental parameters on the analysis of chicken egg white avidin. From these tested parameters, only the laser pulse energy was found to influence the relative abundance of the intact assembly as well as the formation of nonspecific cluster ions significantly. This finding suggests that the disruption of the noncovalent interactions during the desorption/ionization process takes place at a very short time interval after the laser ablation, whereas those assemblies that survive this step are rather stable afterward in the gas phase. In addition, we present clear evidence that protein cluster ions are not preformed during sample preparation but originate from nonspecific assemblage during desorption/ionization.

Alcohol Dehydrogenase↗

PubMed2006

Identification of similar regions of protein structures using integrated sequence and structure analysis tools.

BACKGROUND: Understanding protein function from its structure is a challenging problem. Sequence based approaches for finding homology have broad use for annotation of both structure and function. 3D structural information of protein domains and their interactions provide a complementary view to structure function relationships to sequence information. We have developed a web site http://www.sblest.org/ and an API of web services that enables users to submit protein structures and identify statistically significant neighbors and the underlying structural environments that make that match using a suite of sequence and structure analysis tools. To do this, we have integrated S-BLEST, PSI-BLAST and HMMer based superfamily predictions to give a unique integrated view to prediction of SCOP superfamilies, EC number, and GO term, as well as identification of the protein structural environments that are associated with that prediction. Additionally, we have extended UCSF Chimera and PyMOL to support our web services, so that users can characterize their own proteins of interest. RESULTS: Users are able to submit their own queries or use a structure already in the PDB. Currently the databases that a user can query include the popular structural datasets ASTRAL 40 v1.69, ASTRAL 95 v1.69, CLUSTER50, CLUSTER70 and CLUSTER90 and PDBSELECT25. The results can be downloaded directly from the site and include function prediction, analysis of the most conserved environments and automated annotation of query proteins. These results reflect both the hits found with PSI-BLAST, HMMer and with S-BLEST. We have evaluated how well annotation transfer can be performed on SCOP ID's, Gene Ontology (GO) ID's and EC Numbers. The method is very efficient and totally automated, generally taking around fifteen minutes for a 400 residue protein. CONCLUSION: With structural genomics initiatives determining structures with little, if any, functional characterization, development of protein structure and function analysis tools are a necessary endeavor. We have developed a useful application towards a solution to this problem using common structural and sequence based analysis tools. These approaches are able to find statistically significant environments in a database of protein structure, and the method is able to quantify how closely associated each environment is to a predicted functional annotation.

Computational Biology↗

PubMed2002

Human cytotoxic T lymphocyte responses to live attenuated 17D yellow fever vaccine: identification of HLA-B35-restricted CTL epitopes on nonstructural proteins NS1, NS2b, NS3, and the structural protein E.

Yellow fever virus (YFV) is a re-emerging problem despite the existence of an effective live-attenuated vaccine. The induction of YFV-neutralizing antibodies undoubtedly contributes to vaccine efficacy, but T lymphocyte responses to YFV likely play a role in long-term efficacy. We studied the T lymphocyte responses to YFV in four vaccinees. Proliferation and cytolytic responses to YFV were demonstrated in all subjects. We isolated 13 YFV-specific CD8(+) CTL lines that recognized epitopes on the E, NS1, NS2b, and NS3 proteins; eight CTL lines were HLA-B35-restricted. YFV-specific T cell responses were detectable by IFN gamma ELISPOT assays 14 days postvaccination, with T cell frequencies sustained for up to 19 months. To our knowledge, this is the first report of human T lymphocyte responses following YFV vaccination. These results indicate that the live 17D YFV vaccine induced CD8(+) T cell responses directed against at least four different HLA-B35-restricted YFV epitopes.

Alleles↗

PubMed2000

Recognition of protein structure: determining the relative energetic contributions of beta-strands, alpha-helices and loops.

We examine the role of residues of secondary structure in recognition of the native structure of proteins. The accuracy of recognition was estimated by computing the Z-score values for fragments of protein chains in threading tests. By testing different combinations of secondary structure fragments of 240 non-homologous proteins we show that the overwhelming majority of proteins can be successfully recognized by the energies of interaction between residues of secondary structure. We also found that beta-structures contribute more significantly to fold recognition than alpha-helices or loops. To validate the Z-score calculations in measuring the accuracy of recognition we evaluated the deviation of the energy distribution from the normal law. The normal law satisfactory approximates the shape of the energy distribution for the majority of proteins and chain fragments; however, deviations are often observed for short fragments and for fragments with relatively high Z-score values. The results of the study justify recognition of remote homologs by threading methods based on a backbone of secondary structure rather than of a whole chain because loops of homologs differ more significantly than strands and helices, and the contribution of loops in structure recognition is relatively small.

Computer Simulation↗

PubMed1995

Evaluation of current techniques for ab initio protein structure prediction.

The results of a protein structure prediction contest are reviewed. Twelve different groups entered predictions on 14 proteins of known sequence whose structures had been determined but not yet disseminated to the scientific community. Thus, these represent true tests of the current state of structure prediction methodologies. From this work, it is clear that accurate tertiary structure prediction is not yet possible. However, protein fold and motif prediction are possible when the motif is recognizable similar to another known structure. Internal symmetry and the information inherent in an aligned family of homologous sequences facilitate predictive efforts. Novel folds remain a major challenge for prediction efforts.

Amino Acid Sequence↗

PubMed2005

Transcapsidation and the conserved interactions of two major structural proteins of a pair of phytoreoviruses confirm the mechanism of assembly of the outer capsid layer.

The strongly conserved amino acid sequences of the P8 outer capsid proteins of Rice dwarf virus (RDV) and Rice gall dwarf virus (RGDV) and the distribution of electrostatic potential on the proteins at the interfaces between structural proteins suggested the possibility that P8-trimers of RGDV might bind to the 3-fold symmetrical axes of RDV core particles, with vertical interaction between heterologous P3 and P8 proteins and lateral binding of homologous P8 proteins, thereby allowing formation of the double-layered capsids that are characteristic of viruses that belong to the family Reoviridae. We proved this hypothesis using chimeric virus-like particles composed of the P3 core capsid protein of RDV and the P8 outer capsid protein of RGDV, which were co-expressed in a baculovirus expression system. This is the first report on the molecular biological proof of the mechanism of the assembly of the double-layered capsids with disparate icosahedral lattices.

Amino Acid Sequence↗

PubMed2000

Protein structure prediction in biology and medicine

Protein structure prediction from sequence has made rapid advances in the last few years, gaining increased attention after the success of the CASP meetings. Specifically, threading predictions were shown to work for many cases previously thought to be outside of the scope of prediction methods. The papers in this session address a wide scope of topics, ranging from techniques for validation of prediction methods and further improvements of threading algorithms, to specific applications of protein structure predictions in biology.

Journal Article↗

PubMed1996

Knowledge-based potentials for protein folding: what can we learn from known protein structures?

Empirical potentials capture the essence of regularities seen in protein structures and can be used in simulations and predictions of protein structure or function. Derivations of such potentials require comparisons to be made between experimentally derived protein structures and theoretically constructed reference states.

Computer Simulation↗

PubMed2005

Molecular fragment replacement approach to protein structure determination by chemical shift and dipolar homology database mining.

A novel approach is described for determining backbone structures of proteins that is based on finding fragments in the protein data bank (PDB). For each fragment in the target protein, usually chosen to be 7-10 residues in length, PDB fragments are selected that best fit to experimentally determined one-bond heteronuclear dipolar couplings and that show agreement between chemical shifts predicted for the PDB fragment and experimental values for the target fragment. These fragments are subsequently refined by simulated annealing to improve agreement with the experimental data. If the lowest-energy refined fragments form a unique structural cluster, this structure is accepted and side chains are added on the basis of a conformational database potential. The sequential backbone assembly process extends the chain by translating an accepted fragment onto it. For several small proteins, with extensive sets of dipolar couplings measured in two alignment media, a unique final structure is obtained that agrees well with structures previously solved by conventional methods. With less dipolar input data, large, oriented fragments of each protein are obtained, but their relative positioning requires either a small set of translationally restraining nuclear Overhauser enhancements (NOEs) or a protocol that optimizes burial of hydrophobic groups and pairing of beta-strands.

Computer Simulation↗

PubMed2005

Columba: an integrated database of proteins, structures, and annotations.

BACKGROUND: Structural and functional research often requires the computation of sets of protein structures based on certain properties of the proteins, such as sequence features, fold classification, or functional annotation. Compiling such sets using current web resources is tedious because the necessary data are spread over many different databases. To facilitate this task, we have created COLUMBA, an integrated database of annotations of protein structures. DESCRIPTION: COLUMBA currently integrates twelve different databases, including PDB, KEGG, Swiss-Prot, CATH, SCOP, the Gene Ontology, and ENZYME. The database can be searched using either keyword search or data source-specific web forms. Users can thus quickly select and download PDB entries that, for instance, participate in a particular pathway, are classified as containing a certain CATH architecture, are annotated as having a certain molecular function in the Gene Ontology, and whose structures have a resolution under a defined threshold. The results of queries are provided in both machine-readable extensible markup language and human-readable format. The structures themselves can be viewed interactively on the web. CONCLUSION: The COLUMBA database facilitates the creation of protein structure data sets for many structure-based studies. It allows to combine queries on a number of structure-related databases not covered by other projects at present. Thus, information on both many and few protein structures can be used efficiently. The web interface for COLUMBA is available at http://www.columba-db.de.

Base Sequence↗

PubMed2003

NCI: A server to identify non-canonical interactions in protein structures.

NCI is a server for the identification of non-canonical interactions in protein structures. These interactions, which include N-H...pi, C(alpha)-H...pi, C(alpha)-H...O=C and variants of them, were first observed in small molecules and subsequently in high-resolution protein structures. Such interactions have been subjected to extensive structural analysis to elucidate the different geometric criteria required to identify them. These interactions have also recently been shown to be important for the stability of protein structures. In this work, I describe a server called NCI, which allows the user to either upload protein/peptide coordinates in Protein Data Bank (PDB) format or enter a Structural Classification of Proteins database (SCOP)/PDB identifier for which NCI identifies the different non-canonical interactions, based purely on geometric criteria. Results are presented as an HTML table, as a parseable text file and as a color-coded interaction matrix. In addition, the user can view the RasMol image highlighting the interactions in the protein structure and download the RasMol script. The NCI server is available at: http://www.mrc-lmb.cam.ac.uk/genomes/nci/.

Amino Acids↗