Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe, Chris Varma  Home/Search
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Abstract: Classic molecular motion simulation techniques, such as Monte Carlo (MC) simulation, generate motion pathways one at a time and spend most of their time in the local minima of the energy landscape defined over a molecular conformation space. Their high computational cost prevents them from being used to compute ensemble properties; properties requiring the analysis of many pathways. This paper introduces Stochastic Roadmap Simulation (SRS) as a new computational approach for exploring the... (Update)
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BibTeX entry: (Update)
M. Apaydin, D. Brutlag, C. Guesttin, D. Hsu, and J. Latombe. Stochastic roadmap simulation: An efficient representation and algorithm for analyzing molecular motion. In International Conference on Computational Molecular Biology (RECOMB), April 2002. http://citeseer.ist.psu.edu/article/apaydin02stochastic.html More
@misc{ apaydin02stochastic,
author = "M. Apaydin and D. Brutlag and C. Guesttin and D. Hsu and J. Latombe",
title = "Stochastic roadmap simulation: An efficient representation and algorithm
for analyzing molecular motion",
text = "M. Apaydin, D. Brutlag, C. Guesttin, D. Hsu, and J. Latombe. Stochastic
roadmap simulation: An efficient representation and algorithm for analyzing
molecular motion. In International Conference on Computational Molecular
Biology (RECOMB), April 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/article/apaydin02stochastic.html" }
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