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PubMed2003

Cell-cycle-regulated expression and subcellular localization of the Caulobacter crescentus SMC chromosome structural protein.

Structural maintenance of chromosomes proteins (SMCs) bind to DNA and function to ensure proper chromosome organization in both eukaryotes and bacteria. Caulobacter crescentus possesses a single SMC homolog that plays a role in organizing and segregating daughter chromosomes. Approximately 1,500 to 2,000 SMC molecules are present per cell during active growth, corresponding to one SMC complex per 6,000 to 8,000 bp of chromosomal DNA. Although transcription from the smc promoter is induced during early S phase, a cell cycle transcription pattern previously observed with multiple DNA replication and repair genes, the SMC protein is present throughout the entire cell cycle. Examination of the intracellular location of SMC showed that in swarmer cells, which do not replicate DNA, the protein forms two or three foci. Stalked cells, which are actively engaged in DNA replication, have three or four SMC foci per cell. The SMC foci appear randomly distributed in the cell. Many predivisional cells have bright polar SMC foci, which are lost upon cell division. Thus, chromosome compaction likely involves dynamic aggregates of SMC bound to DNA. The aggregation pattern changes as a function of the cell cycle both during and upon completion of chromosome replication.

Bacterial Proteins↗
PubMed2006

Evolution of protein structural classes and protein sequence families.

In protein structure space, protein structures cluster into four elongated regions when mapped based solely on similarity among the 3D structures. These four regions correspond to the four major classes of present-day proteins defined by the contents of secondary structure types and their topological arrangement. Evolution of and restriction to these four classes suggest that, in most cases, the evolution of genes may have been constrained or selected to those genetic changes that results in structurally stable proteins occupying one of the four "allowed" regions of the protein structure space, "structural selection," an important component of natural selection in gene evolution. Our studies on tracing the "common structural ancestor" for each protein sequence family of known structure suggest that: (i) recently emerged proteins belong mostly to three classes; (ii) the proteins that emerged earlier evolved to gain a new class; and (iii) the proteins that emerged earliest evolved to become the present-day proteins in the four major classes, with the fourth-class proteins becoming the most dominant population. Furthermore, our studies also show that not all present-day proteins evolved from one single set of proteins in the last common ancestral organism, but new common ancestral proteins were "born" at different evolutionary times, not traceable to one or two ancestral proteins: "the multiple birth model" for the evolution of protein sequence families.

Evolution, Molecular↗
PubMed1992

IPSA-Inductive Protein Structure Analysis.

The Inductive Structure Protein Analysis (IPSA) project presents a new method for investigating protein structure. IPSA includes the creation of a new database which was designed specifically for the analysis of protein structure by statistics and machine learning. The Protein Representation Language (PRL) database includes explicit and symbolic representations of geometrical, topological and chemophysical information about secondary structures and the relationships between secondary structures. The IPSA methodology consists of: the use of PRL information to produce a new database of examples of secondary structures which associate together (examples of possible super-secondary structures); then the use of a variety of clustering techniques to produce a consensus clustering of these examples (super-secondary structures); these super-secondary structures are finally examined to uncover any biological features of significance. We have applied this method to find simple super-secondary structures consisting of pairs of alpha-helices. We found four well-defined super-secondary structures, one formed exclusively by long range interactions, and another in association with an additional element of secondary structure (alpha t alpha-motif). Examinations were carried out using homologous pairs and conformational fits which confirm our clustering.

Cluster Analysis↗
PubMed1996

Detection of the disease severity-related molecular differences among new Thai dengue-2 isolates in 1993, based on their structural proteins and major non-structural protein NS1 sequences.

We determined the nucleotide sequences of the whole structural protein gene of four new dengue-2 viruses by the primer extension dideoxy chain termination method, using multiple cDNA clones for six overlapping gene regions. The nucleotide sequences of the major non-structural protein NS1 gene of these viruses were also determined by direct sequencing of the reverse-transcription polymerase chain reaction products. These viruses were isolated from dengue patients with different clinical severities in Nakhon Phanom, Northeastern Thailand in 1993. The results were compared with the sequences of prototype New Guinea C strain and other reference strains. All four viruses revealed highest homology to New Guinea C strain. The homology between each of the four strains and New Guinea C strain varies from 95.09% to 95.29% in its nucleotide sequences, and from 97.24% to 97.78% in its amino acid sequences covering all structural proteins and NS1 protein. The PreM region shows the highest divergence (6.59% to 7.32%) in its nucleotide sequence, whereas C protein is most highly conserved (only 1.75% to 2.63% divergence). Our data showed that there are certain molecular differences in the genomic structure of these four new isolates, which indicate the possibility that these changes are related with the virulence of the virus strains.

Amino Acid Sequence↗
PubMed1980

Decreased axonal transport of structural proteins in streptozotocin diabetic rats.

We have examined the various axonal transport rates in sciatic nerve of streptozotocin diabetic rats 3 h and 10,25, and 50 d after the injection of tritiated proline into the fifth lumbar dorsal root ganglion. Proline-labeled proteins conveyed by the slow transport system were advanced more slowly in diabetic rats. No compensation for this delay took place in terms of protein synthesis, half-life, or transported amount. The decreased deliverance of slowly transported proteins (structural proteins) to the axons may well account for the reduced axon calibre shown in earlier reports. A hypothesis is proposed suggesting that the primary event in the development of neurological abnormalities in diabetes is an impairment of the retrograde axonal transport, secondarily leading to the abnormality of the anterograde transport of structural proteins.

Animals↗
PubMed2006

Chemically accurate protein structures: validation of protein NMR structures by comparison of measured and predicted pKa values.

A new method is presented for evaluating the quality of protein structures obtained by NMR. This method exploits the dependence between measurable chemical properties of a protein, namely pKa values of acidic residues, and protein structure. The accurate and fast empirical computational method employed by the PROPKA program ( http://www.propka.chem.uiowa.edu) allows the user to test the ability of a given structure to reproduce known pKa values, which in turn can be used as a criterion for the selection of more accurate structures. We demonstrate the feasibility of this novel idea for a series of proteins for which both NMR and X-ray structures, as well as pKa values of all ionizable residues, have been determined. For the 17 NMR ensembles used in this study, this criterion is shown effective in the elimination of a large number of NMR structure ensemble members.

Aspartic Acid↗
PubMed2005

A network representation of protein structures: implications for protein stability.

This study views each protein structure as a network of noncovalent connections between amino acid side chains. Each amino acid in a protein structure is a node, and the strength of the noncovalent interactions between two amino acids is evaluated for edge determination. The protein structure graphs (PSGs) for 232 proteins have been constructed as a function of the cutoff of the amino acid interaction strength at a few carefully chosen values. Analysis of such PSGs constructed on the basis of edge weights has shown the following: 1), The PSGs exhibit a complex topological network behavior, which is dependent on the interaction cutoff chosen for PSG construction. 2), A transition is observed at a critical interaction cutoff, in all the proteins, as monitored by the size of the largest cluster (giant component) in the graph. Amazingly, this transition occurs within a narrow range of interaction cutoff for all the proteins, irrespective of the size or the fold topology. And 3), the amino acid preferences to be highly connected (hub frequency) have been evaluated as a function of the interaction cutoff. We observe that the aromatic residues along with arginine, histidine, and methionine act as strong hubs at high interaction cutoffs, whereas the hydrophobic leucine and isoleucine residues get added to these hubs at low interaction cutoffs, forming weak hubs. The hubs identified are found to play a role in bringing together different secondary structural elements in the tertiary structure of the proteins. They are also found to contribute to the additional stability of the thermophilic proteins when compared to their mesophilic counterparts and hence could be crucial for the folding and stability of the unique three-dimensional structure of proteins. Based on these results, we also predict a few residues in the thermophilic and mesophilic proteins that can be mutated to alter their thermal stability.

Computer Simulation↗
PubMed2005

MIKC-type MADS-domain proteins: structural modularity, protein interactions and network evolution in land plants.

MIKC-type proteins represent a class of MADS-domain transcription factors and are defined by a unique domain structure: in addition to the highly conserved DNA-binding MADS-domain, they have three other domains ('I', 'K' and 'C'), with the keratin-like K-domain being the most highly conserved and characteristic one. The number and functional diversity of MIKC-type proteins increased considerably during land plant evolution, culminating in higher flowering plants, where they dominate the control of reproductive development from early to late stages. We wonder how one special class of proteins became important in the control of essentially all stages of a morphogenetic process. All MADS-domain proteins appear to bind to DNA as homo- or heterodimers and may function as part of ternary transcription factor complexes involving non-MADS-domain proteins. Only MIKC-type proteins, however, generate complex intrafamily interaction networks. These are based on the special potential of MIKC-type proteins to form complexes involving more than two homologous proteins constituting transcriptional regulators. We speculate that the potential to form heteromultimers of homologous proteins was achieved by the acquisition of the K-domain during evolution. There is emerging evidence that organismal complexity arises from progressively more elaborate regulation of gene expression. We hypothesize that combinatorial multimer formation of MIKC-type MADS-domain proteins facilitated an unusually efficient and rapid functional diversification based on gene duplication, sequence divergence and fixation. This 'networking' may have enabled a more sophisticated transcriptional control of target genes which was recruited for controlling increasingly complex and diverse developmental pathways during the rapid origin and diversification of plant reproductive structures. Therefore, MIKC-type proteins may owe their evolutionary 'success' and present-day developmental importance in part to their modular domain structure. Investigating the evolution of MIKC-type genes may thus help to better understand origin and diversification of gene regulatory networks.

Amino Acid Sequence↗
PubMed1992

[A structural protein study of the influenza A (H1N1) virus by polyacrylamide gel electrophoresis].

Influenza is an acute respiratory disease typically appearing as an epidemic. Three immunological types of the influenza virus are known: A, B and C. Continually, antigen changes occur, especially in type A. Therefore, a comparative study was carried out on 4 influenza A(H1N1) virus strains in relation to protein structure (surface antigens), by using polyacrylamide gel electrophoresis by the modified Laemmli method. The objective was to compare the structural proteins of the A/Havana/1292/78 (H1N1) national strain with the proteins of 3 international pattern strains. In all the cases, 6 bands were detected by densitometry. In the 4 strains studied the most abundant protein was M. Great differences between the Cuban strain and the 3 international patterns were not seen.

Antigens, Viral↗
PubMed2005

PALSSE: a program to delineate linear secondary structural elements from protein structures.

BACKGROUND: The majority of residues in protein structures are involved in the formation of alpha-helices and beta-strands. These distinctive secondary structure patterns can be used to represent a protein for visual inspection and in vector-based protein structure comparison. Success of such structural comparison methods depends crucially on the accurate identification and delineation of secondary structure elements. RESULTS: We have developed a method PALSSE (Predictive Assignment of Linear Secondary Structure Elements) that delineates secondary structure elements (SSEs) from protein Calpha coordinates and specifically addresses the requirements of vector-based protein similarity searches. Our program identifies two types of secondary structures: helix and beta-strand, typically those that can be well approximated by vectors. In contrast to traditional secondary structure algorithms, which identify a secondary structure state for every residue in a protein chain, our program attributes residues to linear SSEs. Consecutive elements may overlap, thus allowing residues located at the overlapping region to have more than one secondary structure type. CONCLUSION: PALSSE is predictive in nature and can assign about 80% of the protein chain to SSEs as compared to 53% by DSSP and 57% by P-SEA. Such a generous assignment ensures almost every residue is part of an element and is used in structural comparisons. Our results are in agreement with human judgment and DSSP. The method is robust to coordinate errors and can be used to define SSEs even in poorly refined and low-resolution structures. The program and results are available at http://prodata.swmed.edu/palsse/.

Algorithms↗
PubMed2005

LH3, a "homologue" of the mastadenoviral E1B 55-kDa protein is a structural protein of atadenoviruses.

Ovine adenovirus serotype 7 (OAdV), the prototype atadenovirus, has gene homologues for most mastadenovirus structural proteins but lacks proteins V and IX. Instead, OAdV has structural proteins of 32 and 42 kDa although the gene encoding the latter had not previously been identified. The presently reported studies of OAdV virions have now identified a minor structural polypeptide of approximately 40 kDa as the product of the L1 52/55-kDa gene and, more surprisingly, shown that the 42-kDa protein is encoded by LH3. This gene product was previously thought to be a homologue of mastadenovirus E1B 55 kDa, which is a multi-functional, non-structural protein that cooperates with E1A in cell transformation. The lack of transforming activity previously demonstrated for OAdV combined with a structural role for the LH3 product indicates that the protein has a different function in atadenoviruses. We discuss the abundance and likely core location of LH3 in the virion and the possible derivation of the E1B 55-kDa gene from the LH3 gene.

Adenovirus E1B Proteins↗
PubMed2004

Large-scale co-evolution analysis of protein structural interlogues using the global protein structural interactome map (PSIMAP).

MOTIVATION: Interacting pairs of proteins should co-evolve to maintain functional and structural complementarity. Consequently, such a pair of protein families shows similarity between their phylogenetic trees. Although the tendency of co-evolution has been known for various ligand-receptor pairs, it has not been studied systematically in the widest possible scope. We investigated the degree of co-evolution for more than 900 family pairs in a global protein structural interactome map (PSIMAP--a map of all the structural domain-domain interactions in the PDB). RESULTS: There was significant correlation in 45% of the total SCOPs Family level pairs, rising to 78% in 454 reliable family interactions. Expectedly, the intra-molecular interactions between protein families showed stronger co-evolution than inter-molecular interactions. However, both types of interaction have a fundamentally similar pattern of co-evolution except for cases where different interfaces are involved. These results validate the use of co-evolution analysis with predictive methods such as PSIMAP to improve the accuracy of prediction based on "homologous interaction". The tendency of co-evolution enabled a nearly 5-fold enrichment in the identification of true interactions among the potential interlogues in PSIMAP. The estimated sensitivity was 79.2%, and the specificity was 78.6%. AVAILABILITY: The results of co-evolution analysis are available online at http://www.biointeraction.org

Amino Acid Sequence↗
PubMed1998

SCOP, Structural Classification of Proteins database: applications to evaluation of the effectiveness of sequence alignment methods and statistics of protein structural data.

The Structural Classification of Proteins (SCOP) database provides a detailed and comprehensive description of the relationships of all known protein structures. The classification is on hierarchical levels: the first two levels, family and superfamily, describe near and far evolutionary relationships; the third, fold, describes geometrical relationships. The distinction between evolutionary relationships and those that arise from the physics and chemistry of proteins is a feature that is unique to this database, so far. The database can be used as a source of data to calibrate sequence search algorithms and for the generation of population statistics on protein structures. The database and its associated files are freely accessible from a number of WWW sites mirrored from URL http://scop. mrc-lmb.cam.ac.uk/scop/.

Algorithms↗
PubMed2005

The unique stacked rings in the nucleocapsid of the white spot syndrome virus virion are formed by the major structural protein VP664, the largest viral structural protein ever found.

One unique feature of the shrimp white spot syndrome virus (WSSV) genome is the presence of a giant open reading frame (ORF) of 18,234 nucleotides that encodes a long polypeptide of 6,077 amino acids with a hitherto unknown function. In the present study, by applying proteomic methodology to analyze the sodium dodecyl sulfate-polyacrylamide gel electrophoresis profile of purified WSSV virions by liquid chromatography-mass spectrometry (LC-MS/MS), we found that this giant polypeptide, designated VP664, is one of the viral structural proteins. The existence of the corresponding 18-kb transcript was confirmed by sequencing analysis of reverse transcription-PCR products, which also showed that vp664 was intron-less. A time course analysis showed that this transcript was actively transcribed at the late stage, suggesting that this gene product should contribute primarily to the assembly and morphogenesis of the virion. Several polyclonal antisera against this giant protein were prepared, and one of them was successfully used for immunoelectron microscopy analysis to localize the protein in the virion. Immunoelectron microscopy with a gold-labeled secondary antibody showed that the gold particles were regularly distributed around the periphery of the nucleocapsid with a periodicity that matched the characteristic stacked ring subunits that appear as striations. From this and other evidence, we argue that this giant ORF in fact encodes the major WSSV nucleocapsid protein.

Amino Acid Sequence↗
PubMed2002

Three-dimensional high-resolution second-harmonic generation imaging of endogenous structural proteins in biological tissues.

We find that several key endogenous protein structures give rise to intense second-harmonic generation (SHG)-nonabsorptive frequency doubling of an excitation laser line. Second-harmonic imaging microscopy (SHIM) on a laser-scanning system proves, therefore, to be a powerful and unique tool for high-resolution, high-contrast, three-dimensional studies of live cell and tissue architecture. Unlike fluorescence, SHG suffers no inherent photobleaching or toxicity and does not require exogenous labels. Unlike polarization microscopy, SHIM provides intrinsic confocality and deep sectioning in complex tissues. In this study, we demonstrate the clarity of SHIM optical sectioning within unfixed, unstained thick specimens. SHIM and two-photon excited fluorescence (TPEF) were combined in a dual-mode nonlinear microscopy to elucidate the molecular sources of SHG in live cells and tissues. SHG arose not only from coiled-coil complexes within connective tissues and muscle thick filaments, but also from microtubule arrays within interphase and mitotic cells. Both polarization dependence and a local symmetry cancellation effect of SHG allowed the signal from species generating the second harmonic to be decoded, by ratiometric correlation with TPEF, to yield information on local structure below optical resolution. The physical origin of SHG within these tissues is addressed and is attributed to the laser interaction with dipolar protein structures that is enhanced by the intrinsic chirality of the protein helices.

Animals↗