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Related Experiment Videos

dbNEI: a specific database for neuro-endocrine-immune interactions.

Yonglong Zhuang1, Shao Li, Yanda Li

  • 1MOE Key Lab of Bioinformatics, Department of Automation, Tsinghua University, Beijing, China.

Neuro Endocrinology Letters
|May 2, 2006
PubMed
Summary

A new database, dbNEI, offers a web-based resource for neuro-endocrine-immune (NEI) interactions. It integrates signal molecules, interactions, and genes, aiding molecular-level understanding of NEI systems.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Systems Biology

Background:

  • Neuro-endocrine-immune (NEI) interactions are crucial for maintaining homeostasis.
  • Understanding these complex interactions at a molecular level is challenging.
  • Existing resources may not specifically aggregate NEI-related data.

Purpose of the Study:

  • To construct a specialized database for neuro-endocrine-immune (NEI) interactions.
  • To create a centralized, web-based knowledge resource for NEI systems.
  • To facilitate the study of NEI regulatory networks.

Main Methods:

  • Developed the neuro-endocrine-immune (dbNEI) database, Version 1.0.
  • Integrated 1,058 NEI signal molecules and 940 interactions from Cell Signaling Networks.

Related Experiment Videos

  • Compiled 982 NEI-related publications from PubMed and linked to 27,848 NEI-related genes from UniGene.

    • Main Results:

    • dbNEI provides a web-based platform for NEI systems.
    • The database includes detailed information on signal transduction, regulation, and control subunits.
    • Features graphic visualization for identifying control subunits based on queries and diseases.

    Conclusions:

    • dbNEI offers a valuable knowledge environment for understanding NEI interactions.
    • Facilitates molecular-level comprehension of key regulatory systems.
    • Accessible at http://bioinfo.au.tsinghua.edu.cn/dbNEIweb/ for research use.