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CREAL: A language for describing biological systems from a macro to a molecular scale
Author(s) -
Garan Steven A.,
Sarcon Aida,
Chen Alexander,
Lu Erick,
Gurm Hashroop K.,
Gunther Sam,
Zheng Ben C.,
Zhu Julian,
Banerjee Nabhojit,
Govinthasamy Anensshiya,
Neumann Rebecca,
Freitag Warren,
Brooks George A.
Publication year - 2012
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.26.1_supplement.717.3
Subject(s) - computer science , process (computing) , macro , notation , json , scale (ratio) , shortest path problem , hidden markov model , java , artificial intelligence , human–computer interaction , theoretical computer science , programming language , graph , physics , arithmetic , mathematics , quantum mechanics
A language that can describe biological systems from a macro to a molecular scale can play an important role in better understanding the mechanisms that drive the aging process and other biological processes. The Center for Research and Education in Aging Language (CREAL), was developed to allow biologists and Artificial Intelligence (AI) systems to augment a Knowledge Base (KB) that can be used as a data source by a massively paralleled simulation engine to describe complex systems. CREAL uses Java Script Object Notation (JSON) as its template to create nodes of information that can interact with other nodes within the simulation. The language can describe systems of transportation and location as well as properties, actions, and conditions of biological components and processes. A simulation using a KB with CREAL nodes can reveal many relationships between processes when using Dijkstraˈs shortest path algorithm, and with the aid of tools such as Hidden Markov Models (HMM) could suggest possible linkages where currently none have been discovered, and could reveal new insights into phenomenon such as the aging process.