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hiPathDB:一个易于可视化的人类综合通路数据库。

hiPathDB: a human-integrated pathway database with facile visualization.

机构信息

Korean Bioinformation Center, KRIBB, Daejeon 305-806, Korea.

出版信息

Nucleic Acids Res. 2012 Jan;40(Database issue):D797-802. doi: 10.1093/nar/gkr1127. Epub 2011 Nov 28.

DOI:10.1093/nar/gkr1127
PMID:22123737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3245021/
Abstract

One of the biggest challenges in the study of biological regulatory networks is the systematic organization and integration of complex interactions taking place within various biological pathways. Currently, the information of the biological pathways is dispersed in multiple databases in various formats. hiPathDB is an integrated pathway database that combines the curated human pathway data of NCI-Nature PID, Reactome, BioCarta and KEGG. In total, it includes 1661 pathways consisting of 8976 distinct physical entities. hiPathDB provides two different types of integration. The pathway-level integration, conceptually a simple collection of individual pathways, was achieved by devising an elaborate model that takes distinct features of four databases into account and subsequently reformatting all pathways in accordance with our model. The entity-level integration creates a single unified pathway that encompasses all pathways by merging common components. Even though the detailed molecular-level information such as complex formation or post-translational modifications tends to be lost, such integration makes it possible to investigate signaling network over the entire pathways and allows identification of pathway cross-talks. Another strong merit of hiPathDB is the built-in pathway visualization module that supports explorative studies of complex networks in an interactive fashion. The layout algorithm is optimized for virtually automatic visualization of the pathways. hiPathDB is available at http://hiPathDB.kobic.re.kr.

摘要

生物调控网络研究的最大挑战之一是对各种生物途径中发生的复杂相互作用进行系统的组织和整合。目前,生物途径的信息以多种格式分散在多个数据库中。hiPathDB 是一个综合的途径数据库,它结合了 NCI-Nature PID、Reactome、BioCarta 和 KEGG 的经过精心整理的人类途径数据。它总共包含 1661 条途径,由 8976 个不同的物理实体组成。hiPathDB 提供了两种不同类型的整合。途径级别的整合,从概念上讲,是个体途径的简单集合,通过设计一个考虑到四个数据库的不同特征的精细模型,并根据我们的模型重新格式化所有途径来实现。实体级别的整合创建了一个单一的统一途径,通过合并共同的组件来涵盖所有途径。尽管详细的分子水平信息,如复合物形成或翻译后修饰,往往会丢失,但这种整合使得可以研究整个途径的信号网络,并允许识别途径的串扰。hiPathDB 的另一个强大优势是内置的途径可视化模块,它以交互的方式支持对复杂网络的探索性研究。布局算法经过优化,可实现途径的几乎自动可视化。hiPathDB 可在 http://hiPathDB.kobic.re.kr 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fc1/3245021/4fda73f7b03e/gkr1127f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fc1/3245021/b87f41a7c525/gkr1127f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fc1/3245021/c929d834606a/gkr1127f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fc1/3245021/ef9b4d5adc26/gkr1127f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fc1/3245021/4fda73f7b03e/gkr1127f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fc1/3245021/b87f41a7c525/gkr1127f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fc1/3245021/c929d834606a/gkr1127f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fc1/3245021/ef9b4d5adc26/gkr1127f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fc1/3245021/4fda73f7b03e/gkr1127f4.jpg

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