NDLI: Multi-agent-based bio-network simulation platform for systems biology

Content Provider	IEEE Xplore Digital Library
Author	Li-Hong Ren Shuang-Yu Lin Yong-Sheng Ding
Copyright Year	2008
Description	Author affiliation: Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai (Li-Hong Ren)
Abstract	A collective effort from multiple research areas has been made to understand biological systems at the system level. These researches require the ability to simulate particular biological systems as cells, organs, organisms and communities. In this paper, a novel bio-network simulation platform is proposed for system biology studies by combining agent approaches. We consider a biological system as a set of active computational components interacting with each other and with an external environment. Then, we propose a bio-network platform for simulating the behaviours of biological systems, and modelling them in terms of bio-entities and society-entities. As a demonstrate, we discuss how a protein-protein interaction (PPI) network can be seen as a society of autonomous interactive components. Interactions among the small PPI networks can emerge a large PPI network which has its remarkable ability to accomplish a complex function or task. Based on the proposed approach, various simulators with different functions can be embedded in the simulation platform, and further researches can be done from design to development, and complexity validation of biological system.
Starting Page	1691
Ending Page	1696
File Size	131532
Page Count	6
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4593174
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling Proteins Biological systems Biology Systems biology Computational modeling Load modeling Protein-protein interaction network Bio-network simulation platform Multi-agent systems Emergent computation Systems Biology
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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