Abstract
Reductionist science produces causal models of small fragments of complicated systems. Causal models of entire systems can be hard to construct because what is known of them is distributed across a vast amount of literature. The Big Mechanism program aims to have machines read the literature and assemble the causal fragments found in individual papers into huge causal models, automatically. The current domain of the program is cell signalling associated with Ras-driven cancers.
Original language | English (US) |
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Article number | 045008 |
Journal | Physical Biology |
Volume | 12 |
Issue number | 4 |
DOIs | |
State | Published - Jul 1 2015 |
Keywords
- artificial intelligence
- biocuration
- information extraction
- machine reading
- modeling
- signaling pathways
- systems biology
ASJC Scopus subject areas
- Biophysics
- Structural Biology
- Molecular Biology
- Cell Biology