1995
DOI: 10.1002/jcc.540161104
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Multidimensional free‐energy calculations using the weighted histogram analysis method

Abstract: The recently formulated weighted histogram analysis method (WHAM)' is an extension of Ferrenberg and Swendsen's multiple histogram technique for freeenergy and potential of mean force calculations. As an illustration of the method, we have calculated the two-dimensional potential of mean force surface of the dihedrals gamma and chi in deoxyadenosine with Monte Carlo simulations using the all-atom and united-atom representation of the AMBER force fields. This also demonstrates one of the major advantages of WHA… Show more

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Cited by 789 publications
(787 citation statements)
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“…In the present study, r_ cut is set as 1. [53][54][55] is used for data analysis by combining the data at all temperatures. The Rg, fraction of native contacts (Q), specific heat capacity (C v /k B ), and potential energy from direct simulations as well as WHAM are shown in Figure 2.…”
Section: Resultsmentioning
confidence: 99%
“…In the present study, r_ cut is set as 1. [53][54][55] is used for data analysis by combining the data at all temperatures. The Rg, fraction of native contacts (Q), specific heat capacity (C v /k B ), and potential energy from direct simulations as well as WHAM are shown in Figure 2.…”
Section: Resultsmentioning
confidence: 99%
“…Future work will address the estimation of the relative free energy of the different minima sampled in this study, using the configurational entropy derived from the harmonic or quasiharmonic partition functions (McQuarrie, 1973;Levy et al, 1984). The weighted histogram analysis method (Kumar et al, 1992) can also be used to combine trajectory data to yield the free energies and, thus, the relative probabilities of different conformational states (Boczko & Brooks, 1995;Kumar et al, 1995).…”
Section: Discussionmentioning
confidence: 99%
“…72,73 After the simulations, the effect of the restraints on the final results can be removed with a variety of methods. 73,74 Trzesniak et al 72 provides a recent, comparative review of the methods to compute PMFs.…”
Section: Computational Methods and Detailsmentioning
confidence: 99%