Machine discovery of chemical reaction pathways
Machine discovery of chemical reaction pathways
Identification of qualitatively feasible metabolic pathways
Artificial intelligence and molecular biology
Representations of Metabolic Knowledge
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology
The processes of scientific research: the strategy of experimentation
The processes of scientific research: the strategy of experimentation
A knowledge-based system approach for scientific data analysis and the notion of metadata
MSS '95 Proceedings of the 14th IEEE Symposium on Mass Storage Systems
Reconstructing metabolic pathways by bidirectional chemical search
CMSB'07 Proceedings of the 2007 international conference on Computational methods in systems biology
Conceptual modeling of genetic studies and pharmacogenetics
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part III
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This article describes computational problems that arise in representing knowledge about the metabolism in electronic form, in analyzing that knowledge to gain deeper insights into complexities of the metabolism, and in applying that knowledge to biology, biotechnology, and health care. These problems push the limits of existing techniques for knowledge representation, planning, integration of heterogeneous databases, qualitative reasoning, knowledge acquisition and machine learning. This article surveys several recent and ongoing efforts to solve these problems, including the EcoCyc project, a collaborative effort of the Marine Biological Laboratory, SRI International, and the National Library of Medicine.