中国特有植物雪落樱桃潜在分布及其生态特征

为明确中国特有植物雪落樱桃(Cerasus xueluoensis)的潜在分布与居群生态特征,利用DIVA-GIS软件及其耦合的BIOCLIM模型,首次绘制了雪落樱桃适生区分布模拟图,并对影响其分布的主导气候因子进行了定性定量分析。结果表明,雪落樱桃当前潜在适生区主要分布在亚热带长江流域1 200 m以上高海拔山区,其中渝-鄂-湘三省交界的大巴山-巫山山脉可视为现代核心分布区,湘黔交界及湘南的南岭山脉可视为雪落樱桃潜在分布的南界,陕-豫-鄂交界山区的秦岭南麓可能是其潜在分布的北界。主成分分析(PCA)筛选的主导气候因子及其贡献率依次为:年降水量(bio12)最冷季降水量(bio19)最暖季降水量(bio18)最湿季降水量(bio16),累计频率曲线进一步确定其适宜范围分别为:993.00～1 870.22、500.00～680.00、430.00～669.16和500.00～680.00mm,表明降水是影响雪落樱桃当下分布格局的主导气候限制因子。Pearson相关性分析表明,雪落樱桃分布格局在区域尺度上受海拔、经、纬度影响;最小树分析和聚类分析表明,雪落樱桃7个野生居群可划分为中西部与东部两大分支;受试者工作特征曲线(ROC) AUC值达到0.751,满足模型预测精度的基本要求。这些有助于为雪落樱桃制定科学合理的资源保护与科学引种规划。     

Comparative evaluation of microarray analysis software

A wide variety of software tools are available to analyze microarray data. To identify the optimum software for any project, it is essential to define specific and essential criteria on which to evaluate the advantages of the key features. In this review we describe the results of our comparison of several software tools. We then conclude with a discussion of the subset of tools that are most commonly used and describe the features that would constitute the “ideal microarray analysis software suite.”     

On the parallelisation of bioinformatics applications

This paper surveys the computational strategies followed to parallelise the most used software in the bioinformatics arena. The studied algorithms are computationally expensive and their computational patterns range from regular, such as database-searching applications, to very irregularly structured patterns (phylogenetic trees). Fine- and coarse-grained parallel strategies are discussed for these very diverse sets of applications. This overview outlines computational issues related to parallelism, physical machine models, parallel programming approaches and scheduling strategies for a broad range of computer architectures. In particular, it deals with shared, distributed and shared/distributed memory architectures.     

Program MULDER -- a tool for extracting torsion angles from NMR data

MULDER (Mostly UniversaL Dihedral angle ExtractoR) is a program for extraction of torsion angle information from NMR data. Currently, it can analyze two types of input data: The torsion angle data, where several ³J-coupling constants and/or interatomic distances are combined in order to reduce the torsion angle ambiguity arising from solving the isolated Karplus (or distance) equation, and the sugar pucker data, where the dynamics of five-membered sugar rings is evaluated by postprocessing the results calculated from ³J_(HH) coupling constants by program PSEUROT. Program MULDER can be used either as an alternative to r-MD programs in situations where only specific structural features are studied, or as a preparatory tool in connection with full r-MD structure calculation for extraction of unambiguous torsion angle restraints.     

Protein family alignment annotation

For bioscientists studying protein structure and function, the Protein Family Alignment Annotation Tool (Pfaat) is a useful and simple program for annotating collections of proteins. This open-source software includes methods for viewing and aligning protein families, and for annotating sequence structure and residues with known functions. It offers new options to aid the study of proteins, and an extensible annotation tool for bioinformatics developers.     

Development of catheter-type optical oxygen sensor and applications to bioinstrumentation

A catheter-type optical oxygen sensor based on phosphorescence lifetime was developed for medical and animal experimental use. Since the sensor probe should have biocompatibility and high oxygen permeability in vivo, we focused attention on acceptable polymer materials for contact lenses as the substrates of probes. Pd-porphyrin was doped in silicone-based polymer, and was fixed at the edge of an optical fiber inserted in a catheter tube. The shape of the probe was 600 μm in diameter and 100 μm in thickness, and the probe had high oxygen permeability of Dk value 455. In accuracy evaluation, there found an excellent correlation between the pO₂ values measured through phosphorescence lifetime using the oxygen sensors and those measured as the calibrating data using oxygen electrodes. The response time required to achieve 90% from reversible default value to be from 150 to 0 mmHg, and from 0 to 150 mmHg was 15.43 and 7.52 s, respectively. In addition, other properties such as temperature and pH dependency, response, and durability of our optical oxygen sensor were investigated. In animal experiments, the catheter-type oxygen sensor was inserted via the femoral artery of a rat, and arterial oxygen pressure was monitored under asphyxiation. The sensor was valid in the range of oxygen concentration sufficient for biometry, and expected to be integrated with an indwelling needle.     

A spectral correlation function for efficient sequential NMR assignments of uniformly 15N-labeled proteins

Summary A new computer-based approach is described for efficient sequence-specific assignment of uniformly ¹⁵N-labeled proteins. For this purpose three-dimensional ¹⁵N-correlated [¹H, ¹H]-NOESY spectra are divided up into two-dimensional ¹H-¹H strips which extend over the entire spectral width along one dimension and have a width of ca. 100 Hz, centered about the amide proton chemical shifts along the other dimension. A spectral correlation function enables sorting of these strips according to proximity of the corresponding residues in the amino acid sequence. Thereby, starting from a given strip in the spectrum, the probability of its corresponding to the C-terminal neighboring residue is calculated for all other strips from the similarity of their peak patterns with a pattern predicted for the sequentially adjoining residue, as manifested in the scalar product of the vectors representing the predicted and measured peak patterns. Tests with five different proteins containing both -helices and -sheets, and ranging in size from 58 to 165 amino acid residues show that the discrimination achieved between the sequentially neighboring residue and all other residues compares well with that obtained with an unguided interactive search of pairs of sequentially neighboring strips, with important savings in the time needed for complete analysis of 3D ¹⁵N-correlated [¹H, ¹H]-NOESY spectra. The integration of this routine into the program package XEASY ensures that remaining ambiguities can be resolved by visual inspection of the strips, combined with reference to the amino acid sequence and information on spin-system types obtained from additional NMR spectra.Abbreviations 1D, 2D, 3D, 4D one-, two-, three-, four-dimensional - NOE nuclear Overhauser enhancement - NOESY nuclear Overhauser enhancement spectroscopy - COSY correlation spectroscopy - TOCSY total correlation spectroscopy     

A 1,2‐propylene oxide sensor utilizing cataluminescence on CeO2 nanoparticles

A simple and sensitive gas sensor was proposed for the determination of 1,2‐propylene oxide (PO) based on its cataluminescence (CTL) by oxidation in the air on the surface of CeO₂ nanoparticles. The luminescence characteristics and optimal conditions were investigated in detail. Under optimized conditions, the linear range of the CTL intensity versus the concentration of PO was 10–150 ppm, with a correlation coefficient (r) of 0.9974 and a limit of detection (S/N = 3) of 0.9 ppm. The relative standard deviation for 40 ppm PO was 1.2% (n = 7). There was no or only weak response to common foreign substances including acetone, formaldehyde, ethyl acetate, acetic acid, chloroform, propanol, carbon tetrachloride, ether and methanol. There was no significant change in the catalytic activity of the sensor for 100 h. The proposed method was simple and sensitive, with a potential of detecting PO in the environment and industry. Copyright © 2014 John Wiley & Sons, Ltd.     

ProSight Annotator: Complete control and customization of protein entries in UniProt XML files

The effectiveness of any proteomics database search depends on the theoretical candidate information contained in the protein database. Unfortunately, candidate entries from protein databases such as UniProt rarely contain all the post-translational modifications (PTMs), disulfide bonds, or endogenous cleavages of interest to researchers. These omissions can limit discovery of novel and biologically important proteoforms. Conversely, searching for a specific proteoform becomes a computationally difficult task for heavily modified proteins. Both situations require updates to the database through user-annotated entries. Unfortunately, manually creating properly formatted UniProt Extensible Markup Language (XML) files is tedious and prone to errors. ProSight Annotator solves these issues by providing a graphical interface for adding user-defined features to UniProt-formatted XML files for better informed proteoform searches. It can be downloaded from http://prosightannotator.northwestern.edu .