“…Elastic Network Models of proteins, such as the Gaussian Network Model (GNM) and Anisotropic Network Models (ANM) of proteins as developed by Tirion ( 1996 ), Bahar, Erman, and Jernigan (Bahar and Jernigan, 1994 , 1998 ; Bahar et al, 1997a ; Demirel et al, 1998 ; Atilgan et al, 2001 ; Doruker et al, 2002a , b ; Doruker and Jernigan, 2003 ; Sen et al, 2006 ), computationally yield information about protein fluctuation dynamics, the directions of motions of the residues and atoms around their equilibrium positions. This information has already been used by Bahar, Jernigan, Kloczkowski, and many others with significant success (Bahar and Jernigan, 1994 ; Keskin et al, 2002a , b ; Isin et al, 2012 ) to explain functional motions and mechanisms in proteins, nucleic acids, and large biological assemblies, such as the ribosome. ANM could be used as an alternative to calculate the normal modes from a single structure when insufficient numbers of experimental structures or structures having sufficient variability are not available to perform PC analysis, then normal modes from the elastic network models could also be used to compute entropies (Zimmermann et al, 2012 ) (But, as we show below, contact entropies are simpler and provide significant gains).…”