Conventional NMA as a better standard for evaluating elastic network models (Proteins: Structure, Function, and Bioinformatics)

Normal mode analysis (NMA) is an important tool for studying protein dynamics. Due to the complexity of conventional NMA that employs an all-atom model and a semi-empirical force field, many simplified NMA models have been developed, some of which are known as elastic network models. The quality of these simplified NMA models was assessed mostly by evaluating their predictions against experimental B-factors, and rarely by comparing them with the original NMA. In this work, we take the effort to create a publicly-accessible dataset of proteins with their minimized structures, NMA modes, and mean-square fluctuations. Then, for the first time, we evaluate the quality of individual normal modes of several widely used elastic network models by comparing them with the conventional NMA. Our results demonstrate that the conventional NMA presents a better and more complete evaluation measure of the quality of elastic network models. This realization should be very helpful in improving current or designing new, higher-quality elastic network models. Moreover, by using the conventional NMA as the standard of evaluation, a number of interesting and significant insights into the elastic network models are gained. This article is protected by copyright. All rights reserved.