Department of Chemistry and Hamilton Institute, Maynooth University, Ireland.
Curr Opin Chem Biol. 2022 Aug;69:102175. doi: 10.1016/j.cbpa.2022.102175. Epub 2022 Jun 18.
Complex carbohydrates (glycans) are the most abundant and versatile biopolymers in nature. The broad diversity of biochemical functions that carbohydrates cover is a direct consequence of the variety of 3D architectures they can adopt, displaying branched or linear arrangements, widely ranging in sizes, and with the highest diversity of building blocks of any other natural biopolymer. Despite this unparalleled complexity, a common denominator can be found in the glycans' inherent flexibility, which hinders experimental characterization, but that can be addressed by high-performance computing (HPC)-based molecular simulations. In this short review, I present and discuss the state-of-the-art of molecular simulations of complex carbohydrates and glycoconjugates, highlighting methodological strengths and weaknesses, important insights through emblematic case studies, and suggesting perspectives for future developments.
复杂碳水化合物(glycans)是自然界中最丰富和最多样化的生物聚合物。碳水化合物涵盖的广泛生化功能直接源于它们可以采用的多种 3D 结构,呈现出分支或线性排列,大小范围广泛,并且是任何其他天然生物聚合物中具有最多样化构建块的。尽管具有这种无与伦比的复杂性,但在聚糖的固有灵活性中可以找到一个共同点,这种灵活性阻碍了实验表征,但可以通过基于高性能计算(HPC)的分子模拟来解决。在这篇简短的综述中,我介绍和讨论了复杂碳水化合物和糖缀合物的分子模拟的最新进展,强调了方法的优缺点、通过典型案例研究获得的重要见解,并为未来的发展提出了展望。