Minimalist Model for the Dynamics of Helical Polypeptides: A Statistic-Based Parametrization

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• 作者：Giulia Lia Beatrice Spampinato ; Giuseppe Maccari ; Valentina Tozzini
• 刊名：Journal of Chemical Theory and Computation
• 出版年：2014
• 出版时间：September 9, 2014
• 年：2014
• 卷：10
• 期：9
• 页码：3885-3895
• 全文大小：602K
• ISSN：1549-9626

文摘

Low-resolution models are often used to address macroscopic time and size scales in molecular dynamics simulations of biomolecular systems. Coarse graining is often coupled to knowledge-based parametrization to obtain empirical potentials able to reproduce the system thermodynamic behavior. Here, a minimalist coarse grained (GC) model for the helical structures of proteins is reported. A knowledge-based parametrization strategy is coupled to the explicit inclusion of hydrogen-bonding-related terms, resulting in an accurate reproduction of the structure and dynamics of each single helical type, as well as the internal conformational variables correlation. The proposed strategy of basing the force field terms on real physicochemical interactions is transferable to different secondary structures. Thus, this work, though conclusive for helices, is to be considered the first of a series devoted to the application of the knowledge-based, physicochemical model to extended secondary structures and unstructured proteins.