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基于马提尼粗粒化模型的药物及给药系统设计

Towards design of drugs and delivery systems with the Martini coarse-grained model.

作者信息

Kjølbye Lisbeth R, Pereira Gilberto P, Bartocci Alessio, Pannuzzo Martina, Albani Simone, Marchetto Alessandro, Jiménez-García Brian, Martin Juliette, Rossetti Giulia, Cecchini Marco, Wu Sangwook, Monticelli Luca, Souza Paulo C T

机构信息

Molecular Microbiology and Structural Biochemistry (MMSB, UMR 5086), CNRS & University of Lyon, Lyon, France.

Institut de Chimie de Strasbourg, UMR 7177 CNRS, Université de Strasbourg, Strasbourg Cedex, France.

出版信息

QRB Discov. 2022 Oct 12;3:e19. doi: 10.1017/qrd.2022.16. eCollection 2022.

Abstract

Coarse-grained (CG) modelling with the Martini force field has come of age. By combining a variety of bead types and sizes with a new mapping approach, the newest version of the model is able to accurately simulate large biomolecular complexes at millisecond timescales. In this perspective, we discuss possible applications of the Martini 3 model in drug discovery and development pipelines and highlight areas for future development. Owing to its high simulation efficiency and extended chemical space, Martini 3 has great potential in the area of drug design and delivery. However, several aspects of the model should be improved before Martini 3 CG simulations can be routinely employed in academic and industrial settings. These include the development of automatic parameterisation protocols for a variety of molecule types, the improvement of backmapping procedures, the description of protein flexibility and the development of methodologies enabling efficient sampling. We illustrate our view with examples on key areas where Martini could give important contributions such as drugs targeting membrane proteins, cryptic pockets and protein-protein interactions and the development of soft drug delivery systems.

摘要

使用Martini力场的粗粒度(CG)建模已经成熟。通过将各种珠子类型和大小与一种新的映射方法相结合,该模型的最新版本能够在毫秒时间尺度上准确模拟大型生物分子复合物。从这个角度出发,我们讨论了Martini 3模型在药物发现和开发流程中的可能应用,并突出了未来发展的领域。由于其高模拟效率和扩展的化学空间,Martini 3在药物设计和递送领域具有巨大潜力。然而,在Martini 3 CG模拟能够在学术和工业环境中常规使用之前,该模型的几个方面需要改进。这些方面包括为各种分子类型开发自动参数化协议、改进反向映射程序、描述蛋白质灵活性以及开发能够实现高效采样的方法。我们通过Martini可能做出重要贡献的关键领域的示例来说明我们的观点,例如针对膜蛋白、隐秘口袋和蛋白质 - 蛋白质相互作用的药物以及软药物递送系统的开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c23/10392664/ea2c8cff7d13/S2633289222000163_figAb.jpg

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