Fold change approach, statistical testing

The examples discussed in Section 14.3 show how geometry optimization tools, combined with statistical rate theory, can be employed to access experimental timescales corresponding to folding, conformational changes associated with function, and amyloid formation. Most of the computer time used in such calculations is spent on finding transition states on the potential energy surface. These algorithms have been tested quite extensively, and it does not seem likely that much improvement will be possible beyond the DNEB/hybrid EF approach described in Section 14.2.1, or related schemes. 

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