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Adaptive lambda square dynamics simulation; An Efficient conformational sampling method for biomolecules

Adaptive lambda square dynamicsシミュレーション;生体分子の効率的な構造探索法

池部 仁善; 櫻庭 俊; 河野 秀俊

Ikebe, Kimiyoshi; Sakuraba, Shun; Kono, Hidetoshi

A novel, efficient sampling method for biomolecules is proposed. The partial McMD was recently developed as a method that improved generalized ensemble (GE) methods to focus sampling only on a part of a system (GEPS); however, it was not tested well. We found that partial McMD did not work well for poly-lysine decapeptide and gave significantly worse sampling efficiency than a conventional GE. Herein, we elucidate the fundamental reason for this and propose a novel GEPS, adaptive lambda square dynamics (ALSD), which can resolve the problem faced when using partial McMD. We demonstrate that ALSD greatly increases the sampling efficiency over a conventional GE. We believe that ALSD is an effective method and is applicable to the conformational sampling of larger and more complicated biomolecule systems.

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パーセンタイル:45.64

分野:Chemistry, Multidisciplinary

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