DaCheng Qu

Publications (2)2.02 Total impact

• Article: TSdb: a database of transporter substrates linking metabolic pathways and transporter systems on a genome scale via their shared substrates.

  Min Zhao, YanMing Chen, DaCheng Qu, Hong Qu
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  ABSTRACT: TSdb ( http://tsdb.cbi.pku.edu.cn ) is the first manually curated central repository that stores formatted information on the substrates of transporters. In total, 37608 transporters with 15075 substrates from 884 organisms were curated from UniProt functional annotation. A unique feature of TSdb is that all the substrates are mapped to identifiers from the KEGG Ligand compound database. Thus, TSdb links current metabolic pathway schema with compound transporter systems via the shared compounds in the pathways. Furthermore, all the transporter substrates in TSdb are classified according to their biochemical properties, biological roles and subcellular localizations. In addition to the functional annotation of transporters, extensive compound annotation that includes inhibitor information from the KEGG Ligand and BRENDA databases has been integrated, making TSdb a useful source for the discovery of potential inhibitory mechanisms linking transporter substrates and metabolic enzymes. User-friendly web interfaces are designed for easy access, query and download of the data. Text and BLAST searches against all transporters in the database are provided. We will regularly update the substrate data with evidence from new publications.
  Science China. Life sciences 01/2011; 54(1):60-4. · 2.02 Impact Factor
• Conference Proceeding: Emergence in swarming pervasive computing and Chaos Analysis

  Dacheng Qu, Hong Qu, Yushu Liu
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  ABSTRACT: The growing emphasis on pervasive computing and MEMS requires the deployment the computation on very small devices for swarming system. The cooperation and interaction in such system inspired by biological system seem to be more and more complex and inconceivable because of highly dynamic, distributed and unpredicted features. The common stigmergy in biological decentralized system characterizes the important process that the individual agents indirectly interact with an environment by making changes to it. Through context-aware, these changes can raise the emergence that makes the swarming system more coherent, adaptive and robust. Understanding and exploiting emergence is key to study and engineer global coherent behavior in pervasive computing. This paper describes the process of emergence arisen from stigmergy in swarming, and present the fundamental mathematic method to gain more deeply insight of emergence. An experience was showed to prove that nonlinear dynamics and chaos time series analysis are one of the promising interdisciplinary methods that can provide the insights on producing and controlling emergence in pervasive computing environment
  Pervasive Computing and Applications, 2006 1st International Symposium on; 09/2006