@article{oai:nagoya.repo.nii.ac.jp:00026972,
 author = {榮, 慶丈 and 西川, 直宏 and 塚本, 修一朗 and 鈴木, 孝禎 and 岡本, 祐幸 and Sakae, Yoshitake and Nishikawa, Naohiro and Tsukamoto, Syuichiro and Suzuki, Takayoshi and Okamoto, Yuko},
 issue = {1},
 journal = {YAKUGAKU ZASSHI},
 month = {Jan},
 note = {Molecular simulations have been widely used in biomolecular systems such as proteins, DNA, etc. The search for stable conformations of proteins by molecular simulations is important to understand the function and stability of proteins. However, finding the stable state by conformational search is difficult, because the energy landscape of the system is characterized by many local minima separated by high energy barriers. In order to overcome this difficulty, various sampling and optimization methods for the conformation of proteins have been proposed. In this study, we propose a new conformational search method for proteins based on a genetic algorithm. We applied this method to an α-helical protein. We found that the conformations obtained from our simulations are in good agreement with the experimental results.},
 pages = {113--120},
 title = {分子動力学シミュレーションによる医学・創薬に向けたタンパク質の構造解析},
 volume = {136},
 year = {2016}
}