1999
DOI: 10.1002/(sici)1097-0134(19990901)36:4<419::aid-prot5>3.0.co;2-u
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On the convergence of the conformational coordinates basis set obtained by the essential dynamics analysis of proteins' molecular dynamics simulations

Abstract: In this article we present a quantitative evaluation of the convergence of the conformational coordinates of proteins, obtained by the Essential Dynamics method. Using a detailed analysis of long molecular dynamics trajectories in combination with a statistical assessment of the significance of the measured convergence, we obtained that simulations of a few hundreds of picoseconds are in general sufficient to provide a stable and statistically reliable definition of the essential and near constraints subspaces… Show more

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Cited by 288 publications
(247 citation statements)
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“…The RMSIP measure 45 discussed in the Methods Section, eq 2.4, examines convergence by comparing the overlap of modes constructed by using different time intervals of the simulation. In our test, n ) 2 (the first two modes) and we take intervals increasing with a 100 ps stride until the intervals are 1 ns long.…”
Section: Resultsmentioning
confidence: 99%
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“…The RMSIP measure 45 discussed in the Methods Section, eq 2.4, examines convergence by comparing the overlap of modes constructed by using different time intervals of the simulation. In our test, n ) 2 (the first two modes) and we take intervals increasing with a 100 ps stride until the intervals are 1 ns long.…”
Section: Resultsmentioning
confidence: 99%
“…The two intervals taken to compare with each other are always of same time length, with one starting at the beginning of the analysis time and the other from the end of this analysis time. This arrangement is used to reduce the possible correlation between the two time intervals 45 intended for comparison. Instead of using the RMSIP, we use its square because RMSIP 2 is a direct measure of the portion of the projection of the basis of one subspace onto the other subspace.…”
Section: Resultsmentioning
confidence: 99%
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“…Several convergence tests have been proposed. 50, 51 Amadei and co-workers 50 introduced a root-mean-square inner product (RMSIP) measure, that evaluates the overlap of a subset of n modes obtained from different time intervals of the total trajectory. Here, we take t and t′ to be two disjoint time intervals of the trajectory and use the resulting RMSIPs to monitor the stability of these modes.…”
Section: Methodsmentioning
confidence: 99%