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© IRL Press

Knowledge-based simulation of DNA metabolism: prediction of enzyme action

Douglas L. Brutlag , Adam R. Galper and David H. Millis

Department of Biochemistry and the Section on Medical Informatics, Stanford University School of Medicine Stanford, CA 94305, USA

We have developed a knowledge-based simulation of DNA metabolism that accurately predicts the actions of enzymes on DNA under a large number of environmental conditions. Previous simulations of enzyme systems rely predominantly on mathematical models. We use a frame-based representation to model enzymes, substrates and conditions. Interactions between these objects are expressed using production rules and an underlying truth maintenance system. The system performs rapid inference and can explain its reasoning. A graphical interface provides access to all elements of the simulation, including object representations and explanation graphs. Predicting enzyme action is the first step in the development of a large knowledge base to envision the metabolic pathways of DNA replication and repair.

Received on February 1, 1990; accepted on October 2, 1990

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