Designing coarse grained-and atom based-potentials for protein-protein docking

Background  

Protein-protein docking is a challenging computational problem in functional genomics, particularly when one or both proteins undergo conformational change(s) upon binding. The major challenge is to define a scoring function soft enough to tolerate these changes and specific enough to distinguish between near-native and "misdocked" conformations.     

Dominating clasp of the financial sector revealed by partial correlation analysis of the stock market

What are the dominant stocks which drive the correlations present among stocks traded in a stock market? Can a correlation analysis provide an answer to this question? In the past, correlation based networks have been proposed as a tool to uncover the underlying backbone of the market. Correlation based networks represent the stocks and their relationships, which are then investigated using different network theory methodologies. Here we introduce a new concept to tackle the above question—the partial correlation network. Partial correlation is a measure of how the correlation between two variables, e.g., stock returns, is affected by a third variable. By using it we define a proxy of stock influence, which is then used to construct partial correlation networks. The empirical part of this study is performed on a specific financial system, namely the set of 300 highly capitalized stocks traded at the New York Stock Exchange, in the time period 2001–2003. By constructing the partial correlation network, unlike the case of standard correlation based networks, we find that stocks belonging to the financial sector and, in particular, to the investment services sub-sector, are the most influential stocks affecting the correlation profile of the system. Using a moving window analysis, we find that the strong influence of the financial stocks is conserved across time for the investigated trading period. Our findings shed a new light on the underlying mechanisms and driving forces controlling the correlation profile observed in a financial market.     

Sex differences in the perceived intensity of breathlessness during exercise with advancing age.

The prevalence of activity-related breathlessness increases with age, particularly in women, but the specific underlying mechanisms have not been studied. This novel cross-sectional study was undertaken to examine the effects of age and sex, and their interaction, on the perceptual and ventilatory responses to incremental treadmill exercise in 73 healthy participants (age range 40-80 yr old) with normal pulmonary function. Age-related changes at a standardized oxygen uptake (Vo(2)) during exercise included significant increases in breathlessness ratings (Borg scale), ventilation (Ve), ventilatory equivalent for carbon dioxide, and the ratio of tidal volume (Vt) to dynamic inspiratory capacity (IC) (all P < 0.05). These changes were quantitatively similar in women (n = 39) and in men (n = 34). For the group as a whole, exertional breathlessness ratings increased as resting static inspiratory muscle strength diminished (P = 0.05), as exercise ventilation increased relative to capacity (P = 0.013) and as the Vt/IC ratio increased (P = 0.003) during exercise. Older women (60-80 yr old, n = 23) reported greater (P < 0.05) intensity of exertional breathlessness at a standardized Vo(2) and Ve than age-matched men (n = 16), despite similar age-related changes in ventilatory demand and dynamic ventilatory mechanics. These increases in breathlessness ratings in older women disappeared when sex differences in baseline maximal ventilatory capacity were accounted for. In conclusion, although increased exertional breathlessness with advancing age is multifactorial, contributory factors included higher ventilatory requirements during exercise, progressive inspiratory muscle weakness, and restrictive mechanical constraints on Vt expansion related to reduced IC. The sensory consequences of this age-related respiratory impairment were more pronounced in women, who, by nature, have relatively reduced maximal ventilatory reserve.     

The role of Bacillus thuringiensis Cry1C and Cry1E separate structural domains in the interaction with Spodoptera littoralis gut epithelial cells

The Bacillus thuringiensis delta-endotoxins Cry1C and Cry1E share toxicity against several important lepidopteran species. Their combined use to delay development of resistance in target insects depends on their differential interaction with the gut epithelial cells. The three structural domains and combinations of two consecutive domains of Cry1C and Cry1E were separately expressed in Escherichia coli, and their interactions with the brush border membrane vesicles (BBMV) of Cry1E-tolerant and -susceptible Spodoptera littoralis larvae were studied. About 80% reduction in binding of Cry1E and each of its separate domains to BBMV of Cry1E-tolerant larvae was observed, whereas Cry1C was toxic to all larvae and bound equally to BBMV derived from both Cry1E-tolerant and -susceptible larvae. These results suggest differential interactions of the two toxins with BBMV encompassing all three domains. Comparable binding assays performed with fluorescent Cry1C and Cry1C domain II showed that Cry1C has higher Bmax and lower Kd than Cry1C domain II and further supported the existence of toxin multisite interactions. Competitive binding assays were used to estimate the sequence of interaction events. Cry1C domain II could compete with domain III binding, whereas domain III did not interfere with domain II binding, indicating sequential interactions of domain III and then domain II with the same membrane site. No competition between domain II of Cry1C and Cry1E was observed, confirming the existence of different domain II binding sites for the two toxins. Taken together, all three domains specifically interact with the epithelial cell membrane. The folding of the three-domain toxin probably dictates the sequence of interaction events.     

Molecular tools for isolate and community studies of Pyrenomycete fungi

The Pyrenomycetes, defined physiologically by the formation of a flask-shaped fruiting body present in the sexual form, are a monophyletic group of fungi that consist of a wide diversity of populations including human and plant pathogens. Based on sequence analysis of 18S ribosomal DNA (rDNA), rDNA regions conserved among the Pyrenomycetes but divergent among other organisms were identified and used to develop selective PCR primers and a highly specific primer set. The primers presented here were used to amplify large portions of the 18S rDNA as well as the entire internal transcribed spacer (ITS) region (ITS 1, 5.8S rDNA, and ITS 2). In addition to database searches, the specificity of the primers was verified by PCR amplification of DNA extracted from pure culture isolates and by sequence analysis of fungal rDNA PCR-amplified from environmental samples. In addition, denaturing gradient gel electrophoresis (DGGE) analyses were performed on closely related Colletotrichum isolates serving as a model pathogenic genus of the Pyrenomycetes. Although both ITS and 18S rDNA DGGE analyses of Colletotrichum were consistent with a phylogeny established from sequence analysis of the ITS region, DGGE analysis of the ITS region was found to be more sensitive than DGGE analysis of the 18S rDNA. This study introduces molecular tools for the study of Pyrenomycete fungi by the development of two specific primers, demonstration of the enhanced sensitivity of ITS-DGGE for typing of closely related isolates and application of these tools to environmental samples.     

Multiple origins of Ashkenazi Levites: Y chromosome evidence for both Near Eastern and European ancestries

Previous Y chromosome studies have shown that the Cohanim, a paternally inherited Jewish priestly caste, predominantly share a recent common ancestry irrespective of the geographically defined post-Diaspora community to which they belong, a finding consistent with common Jewish origins in the Near East. In contrast, the Levites, another paternally inherited Jewish caste, display evidence for multiple recent origins, with Ashkenazi Levites having a high frequency of a distinctive, non-Near Eastern haplogroup. Here, we show that the Ashkenazi Levite microsatellite haplotypes within this haplogroup are extremely tightly clustered, with an inferred common ancestor within the past 2,000 years. Comparisons with other Jewish and non-Jewish groups suggest that a founding event, probably involving one or very few European men occurring at a time close to the initial formation and settlement of the Ashkenazi community, is the most likely explanation for the presence of this distinctive haplogroup found today in >50% of Ashkenazi Levites.     

Direct analysis of protein sedimentation equilibrium in detergent solutions without density matching

Characterizing membrane proteins by sedimentation equilibrium is challenging because detergents and/or lipid molecules, usually required for solubilization, form a complex with the protein. The most common way to overcome this problem is Tanford and Reynolds' density matching method, which eliminates the buoyant mass contributions of detergents/lipids by adjusting the solvent density with D2O/H2O mixtures to render either detergent or lipid molecules neutrally buoyant. Unfortunately, the method is practical only for detergent densities between 1.0 (H2O) and 1.1 (D2O) g ml(-1), excluding many of the more commonly used detergents for membrane protein studies. Here, we present a modern variant of Tanford and Reynolds' method that (1) is applicable to any detergent regardless of its specific density, (2) does not compromise accuracy and precision, and (3) provides additional information about the number of detergent molecules that are bound to each protein. The new method was applied successfully to Delta(1-43)A-I, an amino-terminal deletion mutant of human apolipoprotein A-I. Interestingly, we observed a significantly lower Delta(1-43)A-I/octyl-glucoside complex partial specific volume than that expected from volume additivity rules, indicative of specific protein-detergent interactions.     

Diversity of microbial communities correlated to physiochemical parameters in a digestion basin of a zero-discharge mariculture system

Bacterial community structure and physiochemical parameters were examined in a sedimentation basin of a zero-discharge mariculture system. The system consisted of an intensively stocked fish basin from which water was recirculated through two separate treatment loops. Surface water from the basin was pumped over a trickling filter in one loop while bottom-water was recirculated through a sedimentation basin followed by a fluidized bed reactor in the other. Ammonia oxidation to nitrate in the trickling filter and organic matter digestion together with nitrate reduction in the sedimentation basin and fluidized bed reactor, allowed zero-discharge operation of the system. Relatively high concentrations of oxygen, nitrate, sulphate and organic matter detected simultaneously in the digestion basin suggested the potential for a wide range of microbially-mediated transformation processes. In this study, physiochemical parameters were correlated to bacterial diversity and distribution in horizontal and vertical profiles within this basin in an effort to obtain a basic understanding of the chemical and microbial processes in this system. Chemical activity and microbial diversity, the latter measured by denaturing gradient gel electrophoresis (DGGE) analysis of polymerase chain reaction (PCR) amplified 16S rDNA fragments, were higher in the sludge layer than in the overlying aqueous layer of the basin. Chemical parameters in sludge samples close to the basin inlet suggested enhanced microbial activity relative to other sampling areas with evidence of both nitrate and sulphate reduction. Four of the nine DGGE bands identified in this zone were affiliated with the Bacteroidetes phylum. Detected sequences closely related to sequences of organisms involved in the sulphur cycle included Desulfovibrio, Dethiosulfovibrio and apparent sulphur oxidizers from the gamma-proteobacteria. In addition, a number of sequences from the beta and alpha-proteobacteria were identified.     

The restriction scaffold problem.

Most shotgun sequencing projects undergo a long and costly phase of finishing, in which a partial assembly forms several contigs whose order, orientation, and relative distance is unknown. We propose here a new technique that supplements the shotgun assembly data by experimentally simple and commonly used complete restriction digests of the target. By computationally combining information from the contig sequences and the fragment sizes measured for several different enzymes, we seek to form a "scaffold" on which the contigs will be placed in their correct orientation, order, and distance. We give a heuristic search algorithm for solving the problem and report on promising preliminary simulation results. The key to the success of the search scheme is the very rapid solution of two time-critical subproblems that are solved to optimality in linear time. Our simulations indicate that with noise levels of some 3% relative error in measuring fragment sizes, using six enzymes, most datasets of 13 contigs spanning 300kb can be correctly ordered, and the remaining ones have most of their pairs of neighboring contigs correct. Hence, the technique has a potential to provide real help to finishing. Even without closing all gaps, the ability to order and orient the contigs correctly makes the partial assembly both more accessible and more useful for biologists.