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Zhongqi Zhang

Publications and source records attributed to Zhongqi Zhang.

10 recordsLinked to original sources

Rearrangement of terminal amino acid residues in peptides by protease-catalyzed intramolecular transpeptidation.

Protease-catalyzed rearrangements of amino acid residues in peptides are observed during enzymatic digestion of proteins. When two enzyme-specific cleavage sites are within one or two residues of each other in the protein sequence, only one of the two sites usually is hydrolyzed by the protease, resulting in a peptide that contains an extra cleavage site near one of its termini. It is observed that in this type of peptide, the residues between the two cleavage sites often rearrange from one terminus of the peptide to the other terminus, catalyzed by the protease that created the peptide. It is proposed that the rearrangement is caused by protease-catalyzed intramolecular transpeptidation through a cyclic peptide intermediate. Several cases of this type of rearrangement were observed for different peptides generated by different proteases, indicating that this type of rearrangement is a general phenomenon occurring during enzymatic digestion of proteins.

Amino Acid Sequence↗

Constructing biological networks through combined literature mining and microarray analysis: a LMMA approach.

MOTIVATION: Network reconstruction of biological entities is very important for understanding biological processes and the organizational principles of biological systems. This work focuses on integrating both the literatures and microarray gene-expression data, and a combined literature mining and microarray analysis (LMMA) approach is developed to construct gene networks of a specific biological system. RESULTS: In the LMMA approach, a global network is first constructed using the literature-based co-occurrence method. It is then refined using microarray data through a multivariate selection procedure. An application of LMMA to the angiogenesis is presented. Our result shows that the LMMA-based network is more reliable than the co-occurrence-based network in dealing with multiple levels of KEGG gene, KEGG Orthology and pathway. AVAILABILITY: The LMMA program is available upon request.

Abstracting and Indexing↗

Peptide conformation in gas phase probed by collision-induced dissociation and its correlation to conformation in condensed phases.

A kinetic peptide fragmentation model for quantitative prediction of peptide CID spectra in an ion trap mass spectrometer has been reported recently. When applying the model to predict the CID spectra of large peptides, it was often found that the predicted spectra differed significantly from their experimental spectra, presumably due to noncovalent interactions in these large polypeptides, which are not considered in the fragmentation model. As a result, site-specific quantitative information correlated to the secondary/tertiary structure of an ionized peptide may be extracted from its CID spectrum. To extract this information, the kinetic peptide fragmentation model was modified by incorporating conformation-related parameters. These parameters are optimized for best fit between the predicted and the experimental spectrum. A conformational stability map is then generated from these conformation-related parameters. Analysis of a few bioactive alpha-helical peptides including melittin, glucagon and neuropeptide Y by this technique demonstrated that their stability maps in the gas phase correlate strongly to their secondary structures in the condensed phases.

Animals↗

Multi-locus penetrance variance analysis method for association study in complex diseases.

Common heritable diseases often result from the action of several different genes, each of which contributes to the total observed variability in the disease trait. Traditional single-locus association approaches rely heavily on the marginal effects of single-locus and tend to ignore the multigenic nature of complex diseases. The increasing request for localizing genes underlying traits in multi-gene diseases has led to the development of some statistical methods. In this study, we develop a multi-locus analysis method - multi-locus penetrance variance analysis (MPVA), and conduct systematical simulation studies to evaluate its performance. Our results show that compared with other multi-locus methods, MPVA has some advantage in detecting complicated interactions under different epistatic models, and its performance is stable and robust.

Analysis of Variance↗

Prediction of low-energy collision-induced dissociation spectra of peptides with three or more charges.

A kinetic model, based on the "mobile proton" model of peptide fragmentation, has been reported previously for quantitative prediction of low-energy collision-induced dissociation (CID) spectra of singly or doubly charged peptides. For peptides with three or more charges, however, the simulation process is complex and time-consuming. This paper describes a simplified model for quantitative prediction of CID spectra of peptide ions with three or more charges. Improvements on other aspects of the model were also made to accommodate large peptides. The performance of the simplified model was evaluated by generating predictions for many known highly charged peptides that were not included in the training data set. It was shown that the model is able to predict peptide CID spectra with reasonable accuracy in fragment ion intensities for highly charged peptide ions up to 5000 u in mass.

Amino Acid Sequence↗

Rapid evolution of expression and regulatory divergences after yeast gene duplication.

Although gene duplication is widely believed to be the major source of genetic novelty, how the expression or regulatory network of duplicate genes evolves remains poorly understood. In this article, we propose an additive expression distance between duplicate genes, so that the evolutionary rate of expression divergence after gene duplication can be estimated through phylogenomic analysis. We have analyzed yeast genome sequences, microarrays, and transcriptional regulatory networks, showing a >10-fold increase in the initial rate for both expression and regulatory network evolution after gene duplication but only an approximately 20% rate increase in the early stage for protein sequences. Based on the estimated age distribution of yeast duplicate genes, we roughly estimate that the initial rate of expression divergence shortly after gene duplication is 2.9 x 10(-9) per year, whereas the baseline rate for very ancient gene duplication is 0.14 x 10(-9) per year. Relative expression rate tests suggest that the expression of duplicate genes tends to evolve asymmetrically, that is, the expression of one copy evolves rapidly, whereas the other one largely maintains the ancestral expression profile. Our study highlights the crucial role of early rapid evolution after gene/genome duplication for continuously increasing the complexity of the yeast regulatory network.

Evolution, Molecular↗

De novo peptide sequencing based on a divide-and-conquer algorithm and peptide tandem spectrum simulation.

Mass spectrometry-based de novo peptide sequencing is generally more reliable on high-resolution instruments owing to their high resolution and mass accuracy. On a lower resolution instrument such as the more widely used quadrupole ion traps, de novo peptide sequencing is not so reliable or requires more MS(3) experiments. However, the peptide CID spectrum has been demonstrated to be quite reproducible on an ion trap instrument and can be predicted with good accuracy. A new de novo peptide sequencing technique, DACSIM, combining a divide-and-conquer algorithm for deriving sequence candidates and spectrum simulation for sequence refinement, is developed for spectra acquired on an ion trap instrument. When DACSIM was used to sequence peptides 500-1900 u in mass generated from proteolytic digests of hemoglobin and myoglobin, the success rate was 70% with a false positive rate of only 6%, when isoleucine and leucine residues were not distinguished.

Algorithms↗

Prediction of low-energy collision-induced dissociation spectra of peptides.

A kinetic model, based on the "mobile proton" model of peptide fragmentation, was developed to quantitatively simulate the low-energy collision-induced dissociation (CID) spectra of peptides dissociated in a quadrupole ion trap mass spectrometer. The model includes most fragmentation pathways described in the literature, plus some additional pathways based on the author's observations. The model was trained by optimizing parameters within the model for predictions of CID spectra of known peptides. A best set of parameters was optimized to obtain best match between the simulated spectra and the experimental spectra in a training data set. The performance of the mathematical model and the associated optimized parameter set used in the CID spectra simulation was evaluated by generating predictions for a large number of known peptides, which were not included in the training data set. It was shown that the model is able to predict peptide CID spectra with reasonable accuracy in fragment ion intensities for both singly and doubly charged peptide parent ions up to 2000 u in mass. The optimized parameter set was evaluated to gain insight into the collision-induced peptide fragmentation process.

Algorithms↗

How much expression divergence after yeast gene duplication could be explained by regulatory motif evolution?

We used the yeast genome sequences of gene families, microarray profiles and regulatory motif data to test the current wisdom that there is a strong correlation between regulatory motif structure and gene expression profile. Our results suggest that duplicate genes tend to be co-expressed but the correlation between motif content and expression similarity is generally poor, only approximately 2-3% of expression variation can be explained by the motif divergence. Our observations suggest that, in addition to the cis-regulatory motif structure in the upstream region of the gene, multiple trans-acting factors in the gene network can influence the pattern of gene expression significantly.

Evolution, Molecular↗

[Effects of small amount precision seeding on winter wheat yield].

A two-year autumn seeding experiment was conducted during 2001-2003 in Beijing to study the effects of small amount precision seeding on winter wheat yield. When the seeding amount was 22.5 kg x hm(-2), the best average yield of winter wheat varieties DS No.1 and Linkang No.1 was 6836.25 and 7353.75 kg x hm(-2), respectively, and some experimental plots had a yield surpassed 7500 kg x hm(-2). The test varieties had a normal expression of growth and development in their growth period, and the contents of total saccharide, proline and lysine in seedlings were higher, and the tillering ability of plant was stronger than the control. The net photosynthesis and transpiration rates, RS, COND and CINT of flag leaf showed the vigorous physiological functions of the plants, and the higher activities of nitrate reductase and SOD showed their stronger metabolism activity. There were more spikes per plant for the test varieties. In practicing small amount precision seeding, variety selection is the prerequisite, and sowing amount is the heart of the matter.

Biomass↗