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A total of 50,000 sets of coordinates were accumulated every 20 ps. They were clustered by comparison with the average coordinate of existing clusters using a 3.0 Å main-chain rmsd cutoff, similar to the method described by Karpen et al. [M. E. Karpen, D. J. Tobias, C. L. Brooks III, Biochemistry 32, 412 (1993)]. Those that are within 3.0 Å main-chain rmsd from the average coordinates of the cluster are assigned to the cluster. A total of 98 clusters were produced. Thirty clusters were highly populated with ∼500 or more coordinate sets and 13 clusters had more than 1000 sets of coordinates.
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note
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Supercomputing time was provided by Cray Research, a subsidiary of Silicon Graphics, Inc. (SGI), and by the Pittsburgh Supercomputing Center (PSC). We are grateful to R. Roskies and M. Levine (PSC), J. Carpenter and H. Pritchard (SGI), and J. Wendoloski (AMGEN) for their support. We thank K. Dill, D. Agard, I. Kuntz, J. Pitera, and T. Cheatham for critical reading of the manuscript; L. Wang, C. Simmerling, M. Crowley, J. Wang, and W. Wang for stimulating discussions; and L. Chiche for the solvation free-energy calculation program. Graphics were provided by Computer Graphics Lab of the University of California, San Francisco (T. Ferrin, Principal Investigator, grant RR-1081). This work was supported in part by NIH grant GM-29072, by a University of California Biotechnology Star grant, and by AMGEN (P.A.K.).
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