| Precise spring constant assignment in elastic network model for identification of vibration frequency and modeshape
Mingwen Hu, Sharad Raj, Byung Kim, Wing Kam Liu, Seunghyun Baik, Taesung Kim, Byeong-Soo Lim, Moon Ki Kim
The Journal of Mechanical Science and Technology, vol. 24, no. 9, pp.1771-1780, 2010
Abstract : We presented a feasible framework of studying dynamics of macromolecules by applying elastic network model (ENM) and vibration
spectroscopy. We first identified the precise force constants of covalent bonds commonly observed in macromolecules by matching their
reported Raman shifts data with predicted wavenumbers determined by normal mode analysis (NMA). Assigning the obtained spring
constants to other small chemical compounds such as ethynyl isocyanide (C3HN) and diacetylene (C4H2), we not only predicted their
vibration wavenumbers precisely but also identified their individual mode shapes from NMA. We extensively tested this chemical information
based ENM with one of amino acids, cysteine. Subsequent comparison of frequencies and modeshapes also yields a strong
agreement between computed and experimental data. Consequently, the proposed method enables us to identify low frequency
modeshapes that are in general functionally important collective motions of macromolecules but have hardly been revealed experimentally
even using terahertz spectroscopy.
Keyword : Elastic network model; Normal mode analysis; Force constant calculation; Mode shape identification; Spectroscopy |
