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Ying Xu

Publications and source records attributed to Ying Xu.

At least 163 records · Page 9Linked to original sources
PubMed2004

[Determination of crocin-1 in rabbit plasma and the pharmacokinetics by RP-HPLC].

AIM: To develop a sensitive and specific HPLC method for the determination of crocin-1 in rabbit plasma, and study the pharmacokinetics in rabbit. METHODS: After i.v. administration of crocin-1 in rabbit, the sample could be well purified after precipitation of protein with methanol. Waters spherisorb C18 column (250 mm x 4.6 mm ID, 5 microm) was used and the mobile phase consisted of methanol-acetonitrile-1% aqueous acetic acid (15:10:50) at the flow rate of 1 mL x min(-1), and the UV detection wave length was 440 nm. The column temperature is 25 degrees C. RESULTS: The calibration curve was linear (r = 0.9997) in the range from 0.86 to 27.54 mg x L(-1) for crocin-1. The lowest detectable concentration of crocin-1 was 0.42 mg x L(-1). After given i.v. crocin-1 in rabbit, the concentration-time curves of crocin-1 was shown to fit two-compartment open model. CONCLUSION: This method is proved to be rapid, precise and reliable enough to be applied to the pharmacokinetics studies of crocin-1 in rabbit.

Animals↗
PubMed2004

Computational prediction of operons in Synechococcus sp. WH8102.

We computationally predict operons in the Synechococcus sp. WH8102 genome based on three types of genomic data: intergenic distances, COG gene functions and phylogenetic profiles. In the proposed method, we first estimate a log-likelihood distribution for each type of genomic data, and then fuse these distribution information by a perceptron to discriminate pairs of genes within operons (WO pairs) from those across transcription unit borders (TUB pairs). Computational experiments demonstrated that WO pairs tend to have shorter intergenic distances, a higher probability being in the same COG functional categories and more similar phylogenetic profiles than TUB pairs, indicating their powerful capabilities for operon prediction. By testing the method on 236 known operons of Escherichia coli K12, an overall accuracy of 83.8% is obtained by joint learning from multiple types of genomic data, whereas individual information source yields accuracies of 80.4%, 74.4%, and 70.6% respectively. We have applied this new approach, in conjunction with our previous comparative genome analysis-based approach, to predict 556 (putative) operons in WH8102. All predicted data are available at (http://www.cs.ucr.edu/~xin/operons.htm) for public use.

Computational Biology↗
PubMed2003

Using quaternary structures to assess the evolutionary history of proteins: the case of the aspartate carbamoyltransferase.

Many evolutionary scenarios describing the history of proteins are based solely on phylogenetic studies. We have designed a new approach that allows ascertainment of such questionable scenarios by taking into account quaternary structures: we used aspartate carbamoyltransferase (ATCase) as a case study. Prokaryotic ATCases correspond to different classes of quaternary structures according to the mode of association of the catalytic PyrB subunit with other polypeptides, either the PyrI regulatory subunit (class B) or a dihydroorotase (class A), which may be active (PyrC, subclass A1) or inactive (PyrC', subclass A2). Class C is uniquely made up of trimers of PyrB. The PyrB phylogenetic tree is not congruent with the tree of life, but it became coherent when we recognized the existence of two families of ATCases, ATC I and ATC II. Remarkably, a very strong correlation was found between the pattern of PyrB phylogenetic clustering and the different classes of quaternary structures of ATCases. All class B ATCases form a clade in family ATC II, which also contains all eukaryotic sequences. In contrast, family ATC I is made up of classes A and C. These results suggest unexpected common ancestry for prokaryotic B and eukaryotic ATCases on the one hand, and for A and C on the other. Thus, the emergence of specific quaternary structures appears to have been a more recent event than the separation into the ATC I and ATC II families. We propose that different evolutionary constraints, depending on the identity of the partners interacting in the different kinds of holoenzymes, operated in a concerted way on the ancestral pyrB genes and the respective associated genes pyrI or pyrC, so as to maintain appropriate inter-polypeptides interactions at the level of quaternary structure. The process of coevolution of genes encoding proteins interacting in various holoenzymes has been assessed by calculating the correlation coefficient between their respective phylogenetic trees. Our approach integrating data obtained from the separate fields of structural biology and molecular evolution could be useful in other cases where pure statistical data need to receive independent confirmation.

Archaea↗
PubMed2003

A computational pipeline for protein structure prediction and analysis at genome scale.

MOTIVATION: Experimental techniques alone cannot keep up with the production rate of protein sequences, while computational techniques for protein structure predictions have matured to such a level to provide reliable structural characterization of proteins at large scale. Integration of multiple computational tools for protein structure prediction can complement experimental techniques. RESULTS: We present an automated pipeline for protein structure prediction. The centerpiece of the pipeline is our threading-based protein structure prediction system PROSPECT. The pipeline consists of a dozen tools for identification of protein domains and signal peptide, protein triage to determine the protein type (membrane or globular), protein fold recognition, generation of atomic structural models, prediction result validation, etc. Different processing and prediction branches are determined automatically by a prediction pipeline manager based on identified characteristics of the protein. The pipeline has been implemented to run in a heterogeneous computational environment as a client/server system with a web interface. Genome-scale applications on Caenorhabditis elegans, Pyrococcus furiosus and three cyanobacterial genomes are presented. AVAILABILITY: The pipeline is available at http://compbio.ornl.gov/proteinpipeline/

Algorithms↗
PubMed2003

EXCAVATOR: a computer program for efficiently mining gene expression data.

Massive amounts of gene expression data are generated using microarrays for functional studies of genes and gene expression data clustering is a useful tool for studying the functional relationship among genes in a biological process. We have developed a computer package EXCAVATOR for clustering gene expression profiles based on our new framework for representing gene expression data as a minimum spanning tree. EXCAVATOR uses a number of rigorous and efficient clustering algorithms. This program has a number of unique features, including capabilities for: (i) data- constrained clustering; (ii) identification of genes with similar expression profiles to pre-specified seed genes; (iii) cluster identification from a noisy background; (iv) computational comparison between different clustering results of the same data set. EXCAVATOR can be run from a Unix/Linux/DOS shell, from a Java interface or from a Web server. The clustering results can be visualized as colored figures and 2-dimensional plots. Moreover, EXCAVATOR provides a wide range of options for data formats, distance measures, objective functions, clustering algorithms, methods to choose number of clusters, etc. The effectiveness of EXCAVATOR has been demonstrated on several experimental data sets. Its performance compares favorably against the popular K-means clustering method in terms of clustering quality and computing time.

Algorithms↗
PubMed2003

Haplotype inference by maximum parsimony.

MOTIVATION: Haplotypes have been attracting increasing attention because of their importance in analysis of many fine-scale molecular-genetics data. Since direct sequencing of haplotype via experimental methods is both time-consuming and expensive, haplotype inference methods that infer haplotypes based on genotype samples become attractive alternatives. RESULTS: (1) We design and implement an algorithm for an important computational model of haplotype inference that has been suggested before in several places. The model finds a set of minimum number of haplotypes that explains the genotype samples. (2) Strong supports of this computational model are given based on the computational results on both real data and simulation data. (3) We also did some comparative study to show the strength and weakness of this computational model using our program. AVAILABILITY: The software HAPAR is free for non-commercial uses. Available upon request (lwang@cs.cityu.edu.hk).

Algorithms↗
PubMed2003

Greedy method for inferring tandem duplication history.

MOTIVATION: Genome analysis suggests that tandem duplication is an important mode of evolutionary novelty by permitting one copy of each gene to drift and potentially to acquire a new function. With more and more genomic sequences available, reconstructing duplication history has received extensive attention recently. RESULTS: An efficient method is presented for inferring the duplication history of tandemly repeated sequences based on the model proposed by Fitch (1977). We validate the method by using simulation results and real data sets of mucin genes, ZNF genes, and olfactory receptors genes. The agreement with conclusions drawn by other biological researchers strongly indicates that our method is efficient and robust. AVAILABILITY: The program is available by request.

Algorithms↗
PubMed2003

Femtosecond response of a free-standing LT-GaAs photoconductive switch.

We present a novel, free-standing low-temperature GaAs (LT-GaAs) photoconductive switch and demonstrate its femtosecond performance. A 1-microm-thick layer of a single-crystal LT-GaAs was patterned into 5-10-microm-wide and 15-30-microm-long bars, separated from their GaAs substrate and, subsequently, placed across gold coplanar transmission lines deposited on a Si substrate, forming a photoconductive switch. The switch was excited with 110-fs-wide optical pulses, and its photoresponse was measured with an electro-optic sampling system. Using 810-nm optical radiation, we recorded an electrical transient as short as 360 fs (1.25 THz, 3-dB bandwidth) and established that the photo-carrier lifetime in our LT-GaAs was 150 fs. Our free-standing devices exhibited quantum efficiency of the order of approximately 7%, and their photoresponse amplitude was a linear function of the applied voltage bias, as well as a linear function of the excitation power, below a well-defined saturation threshold.

Journal Article↗
PubMed2003

Regulation of arginine biosynthesis in the psychropiezophilic bacterium Moritella profunda: in vivo repressibility and in vitro repressor-operator contact probing.

We report the cloning of the arginine repressor gene from the psychropiezophilic Gram-negative bacterium Moritella profunda, the purification of its product (ArgR(Mp)), the identification of the operator in the bipolar argECBFGH(A) operon, in vivo repressibility studies, and an in vitro analysis of the repressor-operator interaction, including binding to mutant and heterologous arginine operators. The ArgR(Mp) subunit shows about 70% amino acid sequence identity with Escherichia coli ArgR (ArgR(Ec)). Binding of purified hexameric ArgR(Mp) to the control region of the divergent operon proved to be arginine-dependent, sequence-specific, and significantly more sensitive to heat than complex formation with ArgR(Ec). ArgR(Mp) binds E.coli arginine operators very efficiently, but hardly recognizes the operator from Bacillus stearothermophilus or Thermotoga maritima. ArgR(Mp) binds to a single site overlapping the -35 element of argC(P), but not argE(P). Therefore, the arrangement of promoter and operator sites in the bipolar argECBFGH(A) operon of M.profunda is very different from the organization of control elements in the bipolar argECBH operon of E.coli, where both promoters overlap the common operator and are equally repressible. We demonstrate that M.profunda argC(P) is about 44-fold repressible, whereas argE(P) is fully constitutive. A high-resolution contact map of the ArgR(Mp)-operator interaction was established by enzymatic and chemical footprinting, missing contact and base-specific premodification binding interference studies. The results indicate that the argC operator consists of two ARG box-like sequences (18bp imperfect palindromes) separated by 3bp. ArgR(Mp) binds to one face of the DNA helix and establishes contacts with two major groove segments and the intervening minor groove of each ARG box, whereas the minor groove segment facing the repressor at the center of the operator remains largely uncontacted. This pattern is reminiscent of complex formation with the repressors of E.coli and B.stearothermophilus, and suggests that each ARG box is contacted by two ArgR subunits belonging to opposite trimers. Moreover, the premodification interference patterns and mutant studies clearly indicate that the inner, center proximal halves of each ARG box in the M.profunda argC operator are more important for complex formation and repression than the outermost halves. A close inspection of sequence conservation and of single base-pair O(c)-type mutations indicate that the same conclusion can be generalized to E.coli operators.

Aldehyde Oxidoreductases↗
PubMed2003

Improving the performance of DomainParser for structural domain partition using neural network.

Structural domains are considered as the basic units of protein folding, evolution, function and design. Automatic decomposition of protein structures into structural domains, though after many years of investigation, remains a challenging and unsolved problem. Manual inspection still plays a key role in domain decomposition of a protein structure. We have previously developed a computer program, DomainParser, using network flow algorithms. The algorithm partitions a protein structure into domains accurately when the number of domains to be partitioned is known. However the performance drops when this number is unclear (the overall performance is 74.5% over a set of 1317 protein chains). Through utilization of various types of structural information including hydrophobic moment profile, we have developed an effective method for assessing the most probable number of domains a structure may have. The core of this method is a neural network, which is trained to discriminate correctly partitioned domains from incorrectly partitioned domains. When compared with the manual decomposition results given in the SCOP database, our new algorithm achieves higher decomposition accuracy (81.9%) on the same data set.

Algorithms↗
PubMed2003

SEGID: identifying interesting segments in (multiple) sequence alignments.

SUMMARY: SEGID is a tool for finding conserved regions (regions of high scores) for a given (multiple) sequence alignment. It takes a (multiple) sequence alignment as its input and converts the alignment into a sequence of numbers, where each number is the alignment score of a column. Three algorithms are used to identify regions of high scores. A graphical interface is provided to present those identified regions. AVAILABILITY: Free from http://www.cs.cityu.edu.hk/~lwang/segid/subject to copyright restrictions.

Algorithms↗
PubMed2003

MOLVIE: an interactive visualization environment for molecular structures.

A Molecular visualization interactive environment (MOLVIE), is designed to display three-dimensional (3D) structures of molecules and support the structural analysis and research on proteins. The paper presents the features, design considerations and applications of MOLVIE, especially the new functions used to compare the structures of two molecules and view the partial fragment of a molecule. Being developed in JAVA, MOLVIE is platform-independent. Moreover, it may run on a webpage as an applet for remote users. MOLVIE is available at http://www.cs.ucsb.edu/~mli/Bioinf/software/index.html.

Amino Acid Sequence↗
PubMed2003

A computational study of Shewanella oneidensis MR-1: structural prediction and functional inference of hypothetical proteins.

The genomes of many organisms have been sequenced in the last 5 years. Typically about 30% of predicted genes from a newly sequenced genome cannot be given functional assignments using sequence comparison methods. In these situations three-dimensional structural predictions combined with a suite of computational tools can suggest possible functions for these hypothetical proteins. Suggesting functions may allow better interpretation of experimental data (e.g., microarray data and mass spectroscopy data) and help experimentalists design new experiments. In this paper, we focus on three hypothetical proteins of Shewanella oneidensis MR-1 that are potentially related to iron transport/metabolism based on microarray experiments. The threading program PROSPECT was used for protein structural predictions and functional annotation, in conjunction with literature search and other computational tools. Computational tools were used to perform transmembrane domain predictions, coiled coil predictions, signal peptide predictions, sub-cellular localization predictions, motif prediction, and operon structure evaluations. Combined computational results from all tools were used to predict roles for the hypothetical proteins. This method, which uses a suite of computational tools that are freely available to academic users, can be used to annotate hypothetical proteins in general.

ATP-Binding Cassette Transporters↗
PubMed2003

PROSPECT II: protein structure prediction program for genome-scale applications.

A new method for fold recognition is developed and added to the general protein structure prediction package PROSPECT (http://compbio.ornl.gov/PROSPECT/). The new method (PROSPECT II) has four key features. (i) We have developed an efficient way to utilize the evolutionary information for evaluating the threading potentials including singleton and pairwise energies. (ii) We have developed a two-stage threading strategy: (a) threading using dynamic programming without considering the pairwise energy and (b) fold recognition considering all the energy terms, including the pairwise energy calculated from the dynamic programming threading alignments. (iii) We have developed a combined z-score scheme for fold recognition, which takes into consideration the z-scores of each energy term. (iv) Based on the z-scores, we have developed a confidence index, which measures the reliability of a prediction and a possible structure-function relationship based on a statistical analysis of a large data set consisting of threadings of 600 query proteins against the entire FSSP templates. Tests on several benchmark sets indicate that the evolutionary information and other new features of PROSPECT II greatly improve the alignment accuracy. We also demonstrate that the performance of PROSPECT II on fold recognition is significantly better than any other method available at all levels of similarity. Improvement in the sensitivity of the fold recognition, especially at the superfamily and fold levels, makes PROSPECT II a reliable and fully automated protein structure and function prediction program for genome-scale applications.

Algorithms↗
PubMed2003

Psychromonas profunda sp. nov., a psychropiezophilic bacterium from deep Atlantic sediments.

A psychropiezophilic bacterium, strain 2825T (=LMG 21260T =JCM 11437T), isolated from deep Atlantic sediments at a depth of 2770 m and a temperature of 2 degrees C, was found by polyphasic analysis to represent a novel species of the genus Psychromonas, Psychromonas profunda sp. nov. It is a strict psychrophile and a moderate piezophile, whose degree of piezophily is increased markedly when the temperature is raised to 10 degrees C. The piezophily of P. profunda is intermediate between that of the type species, Psychromonas antarctica, which is not piezophilic, and that of Psychromonas kaikoae, which is an obligate piezophile.

Alteromonadaceae↗
PubMed2003

Moritella profunda sp. nov. and Moritella abyssi sp. nov., two psychropiezophilic organisms isolated from deep Atlantic sediments.

Strains 2674T (=LMG 21259T =JCM 11435T) and 2693T (=LMG 21258T =JCM 11436T) were isolated from Atlantic sediments at a temperature of 2 degrees C and a depth of 2815 m off the West African coast. Polyphasic evidence indicates that the two strains belong to the genus Moritella and represent distinct species, for which the names Moritella profunda sp. nov. (for strain 2674T) and Moritella abyssi sp. nov. (for strain 2693T) are proposed. The moderate piezophily of the two organisms is intermediate between that of the type species, Moritella marina, which is not piezophilic, and Moritella yayanosii, an obligate piezophile. Both are strict psychrophiles with slightly different cardinal temperatures: at 0.1 MPa, maximal growth rates are observed at 2 degrees C (M. profunda) and 4 degrees C (M. abyssi) with maximum temperatures of 12 degrees C (M. profunda) or 14 degrees C (M. abyssi). The optimal pressure is lower than that at the site of isolation, and raising the temperature to 10 degrees C makes the organisms more piezophilic.

Atlantic Ocean↗
PubMed2003

Moritella cold-active dihydrofolate reductase: are there natural limits to optimization of catalytic efficiency at low temperature?

Adapting metabolic enzymes of microorganisms to low temperature environments may require a difficult compromise between velocity and affinity. We have investigated catalytic efficiency in a key metabolic enzyme (dihydrofolate reductase) of Moritella profunda sp. nov., a strictly psychrophilic bacterium with a maximal growth rate at 2 degrees C or less. The enzyme is monomeric (Mr=18,291), 55% identical to its Escherichia coli counterpart, and displays Tm and denaturation enthalpy changes much lower than E. coli and Thermotoga maritima homologues. Its stability curve indicates a maximum stability above the temperature range of the organism, and predicts cold denaturation below 0 degrees C. At mesophilic temperatures the apparent Km value for dihydrofolate is 50- to 80-fold higher than for E. coli, Lactobacillus casei, and T. maritima dihydrofolate reductases, whereas the apparent Km value for NADPH, though higher, remains in the same order of magnitude. At 5 degrees C these values are not significantly modified. The enzyme is also much less sensitive than its E. coli counterpart to the inhibitors methotrexate and trimethoprim. The catalytic efficiency (kcat/Km) with respect to dihydrofolate is thus much lower than in the other three bacteria. The higher affinity for NADPH could have been maintained by selection since NADPH assists the release of the product tetrahydrofolate. Dihydrofolate reductase adaptation to low temperature thus appears to have entailed a pronounced trade-off between affinity and catalytic velocity. The kinetic features of this psychrophilic protein suggest that enzyme adaptation to low temperature may be constrained by natural limits to optimization of catalytic efficiency.

Amino Acid Sequence↗