Modeling without Borders: Creating and Annotating VCell Models Using the Web

被引:0
|
作者
Blinov, Michael L. [1 ]
Ruebenacker, Oliver [1 ]
Schaff, James C. [1 ]
Moraru, Ion I. [1 ]
机构
[1] Univ Connecticut, Ctr Hlth, Ctr Cell Anal & Modeling, Farmington, CT 06030 USA
关键词
Biological databases; mathematical modeling; VCell; data conversion; ENVIRONMENT; KNOWLEDGE; CYTOSCAPE; EXCHANGE; BIOLOGY; SBML; CELL;
D O I
暂无
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Biological research is becoming increasingly complex and data-rich, with multiple public databases providing a variety of resources: hundreds of thousands of substances and interactions, hundreds of ready to use models, controlled terms for locations and reaction types, links to reference materials (data and/or publications), etc. Mathematical modeling can be used to integrate this complex data and create quantitative, testable predictions based on the current state of knowledge of a biological process. Data retrieval, visualization, flexible querying, and model annotation for future reuse, are some of the important requirements for modeling-based research in the modern age. Here we describe an approach that we implement within the popular Virtual Cell (VCell) modeling and simulation framework in order to help connect the modeling community with the web of machine-processable systems biology knowledge. A new software application, called SyBiL (Systems Biology Linker), has been designed and developed for simultaneous querying of multiple systems biology knowledge bases and data sources, such as web repositories, databases, and user files, and converting the extracted and refined data into model elements. Integration of SyBiL as a component of VCell makes these capabilities easily available to a wide modeling community.
引用
收藏
页码:3 / 17
页数:15
相关论文
共 50 条
  • [21] Annotating collections of photos using hierarchical event and scene models
    Cao, Liangliang
    Luo, Jiebo
    Kautz, Henry
    Huang, Thomas S.
    2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12, 2008, : 317 - +
  • [22] Creating Ontology for Intelligent Web by using Web Usage Mining
    Jha, Pooja
    Jaiswal, Arunima
    2016 6th International Conference - Cloud System and Big Data Engineering (Confluence), 2016, : 306 - 311
  • [23] Automatic Annotating SRRs from Web Databases Using Naive Bayes Approach
    Rane, Nikita P.
    Patil, Dinesh D.
    2015 INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND CONTROL (IC4), 2015,
  • [24] A tool for creating design models from Web Site code
    Paganelli, L
    Paternó, F
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2003, 13 (02) : 169 - 189
  • [25] Modeling, classifying and annotating weakly annotated images using Bayesian network
    Barrat, Sabine
    Tabbone, Salvatore
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2010, 21 (04) : 355 - 363
  • [26] SChiSM2: creating interactive web page annotations of molecular structure models using Jmol
    Cammer, Stephen
    BIOINFORMATICS, 2007, 23 (03) : 383 - 384
  • [27] Using Advanced Transaction Meta-Models for Creating Transaction-Aware Web Service Environments
    Hrastnik, Peter
    Winiwarter, Werner
    INTERNATIONAL JOURNAL OF WEB INFORMATION SYSTEMS, 2005, 1 (02) : 89 - +
  • [28] Creating and using RoboEarth object models
    Di Marco, Daniel
    Koch, Andreas
    Zweigle, Oliver
    Haeussermann, Kai
    Schiessle, Bjoern
    Levi, Paul
    Galvez-Lopez, Dorian
    Riazuelo, Luis
    Javier, Civera Y.
    Montiel, J. M. M.
    Tenorth, Moritz
    Perzylo, Alexander
    Waibel, Markus
    van de Molengraft, Rene
    2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2012, : 3549 - 3550
  • [29] Semi-automatically annotating data semantics to Web services using ontology mapping
    Zhang, Man
    Duan, Zhenhua
    Zhao, Chenting
    PROCEEDINGS OF THE 2008 12TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, VOLS I AND II, 2008, : 470 - 475
  • [30] Automatically Annotating Structured Web Data Using a SVM-Based Multiclass Classifier
    Weng, Daiyue
    Hong, Jun
    Bell, David A.
    WEB INFORMATION SYSTEMS ENGINEERING - WISE 2014, PT I, 2014, 8786 : 115 - 124