PathCase-SB: integrating data sources and providing tools for systems biology research

Author:

Coskun Sarp A,Qi Xinjian,Cakmak Ali,Cheng En,Cicek A Ercument,Yang Lei,Jadeja Rishiraj,Dash Ranjan K,Lai Nicola,Ozsoyoglu Gultekin,Ozsoyoglu Zehra Meral

Abstract

Abstract Background Integration of metabolic pathways resources and metabolic network models, and deploying new tools on the integrated platform can help perform more effective and more efficient systems biology research on understanding the regulation of metabolic networks. Therefore, the tasks of (a) integrating under a single database environment regulatory metabolic networks and existing models, and (b) building tools to help with modeling and analysis are desirable and intellectually challenging computational tasks. Results PathCase Systems Biology (PathCase-SB) is built and released. This paper describes PathCase-SB user interfaces developed to date. The current PathCase-SB system provides a database-enabled framework and web-based computational tools towards facilitating the development of kinetic models for biological systems. PathCase-SB aims to integrate systems biology models data and metabolic network data of selected biological data sources on the web (currently, BioModels Database and KEGG, respectively), and to provide more powerful and/or new capabilities via the new web-based integrative framework. Conclusions Each of the c urrent four PathCase-SB interfaces, namely, Browser, Visualization, Querying, and Simulation interfaces, have expanded and new capabilities as compared with the original data sources. PathCase-SB is already available on the web and being used by researchers across the globe.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Modeling and Simulation,Structural Biology

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DORMAN: Database of Reconstructed MetAbolic Networks;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2021-07-01

2. Service-Agent-Based Model Composition;Model Engineering for Simulation;2019

3. An online model composition tool for system biology models;BMC Systems Biology;2013-09-05

4. ADEMA: An Algorithm to Determine Expected Metabolite Level Alterations Using Mutual Information;PLoS Computational Biology;2013-01-17

5. iPathCaseKEGG: An iPad interface for KEGG metabolic pathways;Health Information Science and Systems;2013-01-10

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