Knowledge-Based Simulation of DNA Metabolism: Prediction of Action and Envisionment of Pathways

From Tetherless World Wiki

Jump to: navigation, search

Citation: Adam Galper and David H. Millis and Douglas L. Brutlag. (1990) Knowledge-Based Simulation of DNA Metabolism: Prediction of Action and Envisionment of Pathways. In KSL-90-71, October,1990.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Adam Galper and David H. Millis and Douglas L. Brutlag
title Knowledge-Based Simulation of DNA Metabolism: Prediction of Action and Envisionment of Pathways
number KSL-90-71
institution Knowledge Systems, AI Laboratory
address Stanford, CA, USA
year 1990
month October
Bibtex more
Access Paper
abstract 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.

KSL Technical Report ID: KSL-90-71
Facts about Knowledge-Based Simulation of DNA Metabolism: Prediction of Action and Envisionment of PathwaysRDF feed
Abstract We have developed a knowledge-based simula … 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. ic pathways of DNA replication and repair.
Address Stanford, CA, USA  +
Author Adam Galper and David H. Millis and Douglas L. Brutlag  +
Bibtype techreport  +
Has author Adam Galper and David H. Millis and Douglas L. Brutlag  +
Has identifier KSL-90-71  +
Has publishing details October,1990  +
Has title Knowledge-Based Simulation of DNA Metabolism: Prediction of Action and Envisionment of Pathways  +
Has where published KSL-90-71  +
Has year 1990  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-90-71  +
Month October  +
Number KSL-90-71  +
Process note NO  +
Title Knowledge-Based Simulation of DNA Metabolism: Prediction of Action and Envisionment of Pathways  +
Year 1990  +
Retrieved from "http://tw.rpi.edu/wiki/Knowledge-Based_Simulation_of_DNA_Metabolism:_Prediction_of_Action_and_Envisionment_of_Pathways"
Personal tools