Eom, Kilho Ahn, Jeong-Hee Baek, Seung-Chul Kim, Jae-In Na, Sungsoo 2024-01-21T00:35:08Z 2024-01-21T00:35:08Z 2021-09-02 2007-08 1546-2218 https://pubs.kist.re.kr/handle/201004/134251 This paper concerns the application and demonstration of robust reduction methodology for biomolecular structure modeling, which is able to estimate dynamics of large proteins. The understanding of large protein dynamics is germane to gain insight into biological functions related to conformation change that is well described by normal modes. In general, proteins exhibit the complicated potential field and the large degrees of freedom, resulting in the computational prohibition for large protein dynamics. In this article, large protein dynamics is investigated with modeling reduction schemes. The performance of hierarchical condensation methods implemented in the paper is compared with that obtained from full original model, successfully demonstrating robustness of reduction method. The examples presented in these results also show that the computational accuracy of reduction method is maintained, while computational cost is reduced. English TECH SCIENCE PRESS Robust reduction method for biomolecules modeling Article 1 CMC-COMPUTERS MATERIALS & CONTINUA, v.6, no.1, pp.35 - 42 CMC-COMPUTERS MATERIALS & CONTINUA 6 1 35 42 scie scopus 000248492600004 2-s2.0-34547742094 Computer Science, Information Systems Materials Science, Multidisciplinary Computer Science Materials Science Article biomolecules modeling model condensation eigenvalue