9,650 research outputs found
Quasi regular Dirichlet forms and the stochastic quantization problem
After recalling basic features of the theory of symmetric quasi regular
Dirichlet forms we show how by applying it to the stochastic quantization
equation, with Gaussian space-time noise, one obtains weak solutions in a large
invariant set. Subsequently, we discuss non symmetric quasi regular Dirichlet
forms and show in particular by two simple examples in infinite dimensions that
infinitesimal invariance, does not imply global invariance. We also present a
simple example of non-Markov uniqueness in infinite dimensions
Prediction of Functional Sites in SCOP Domains using Dynamics Perturbation Analysis
Dynamics perturbation analysis (DPA) finds regions in a protein structure where proteins are "ticklish", i.e., where interactions cause a large change in protein dynamics. Previously, such regions were shown to predict the location of native binding sites in a docking test set, but the more general applicability of DPA to the prediction of functional sites in proteins was not shown. Here we describe the results of applying an accelerated algorithm, called Fast DPA, to predict functional sites in over 50,000 SCOP domains
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