New atomic resolution insights into dynamic protein-carbohydrate interactions enabled by high-performance computing

Olgun Guvench
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Abstract

Protein-carbohydrate interactions are a critical component of cellular structure and function. However, the inherent flexibility of biological carbohydrate polymers and the microheterogeneity resulting from their non-template-based biosynthesis complicate their study using experimental methods. Therefore, simulation approaches, and all-atom explicit-solvent molecular dynamics (MD) simulations in particular, provide an enabling technology for advancing the understanding of protein-carbohydrate interactions at the atomic level of resolution. Here, we detail our recent MD studies on the CD44 receptor performed using the highly-parallel NAMD MD engine with the CHARMM all-atom force field on the Kraken supercomputer. With these technologies, simulation time lengths of hundreds of nanoseconds are routinely reached. Combining both regular unbiased MD and advanced MD methods that bias sampling to important degrees of freedom, new insights are obtained into the function of CD44, which is both a receptor for large carbohydrate molecules in the extracellular matrix and whose own function is modulated by covalent attachment of branched carbohydrates to make CD44 a glycoprotein. In particular, the simulations explain, for the first time, the molecular mechanism of the experimentally-observed order-to-disorder transition in CD44 that is known to enhance its carbohydrate binding affinity. Additionally, the simulations explain, again for the first time, the molecular mechanism through which particular monosaccharides in branched carbohydrates covalently attached to CD44 have been experimentally observed to block CD44 binding to extracellular matrix carbohydrates. These insights expand the understanding of how CD44 performs its biological functions, which include cell adhesion, migration, and vascular trafficking. Importantly, these new insights enabled by leading-edge simulation and computing technologies have not been accessible by existing experimental methods.
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新的原子分辨率洞察动态蛋白质-碳水化合物的相互作用,使高性能计算
蛋白质-碳水化合物相互作用是细胞结构和功能的重要组成部分。然而,生物碳水化合物聚合物固有的灵活性和由其非模板生物合成引起的微异质性使实验方法的研究复杂化。因此,模拟方法,特别是全原子显式溶剂分子动力学(MD)模拟,为在原子水平上提高对蛋白质-碳水化合物相互作用的理解提供了一种使能技术。在这里,我们详细介绍了我们最近在Kraken超级计算机上使用高度并行的NAMD MD引擎和CHARMM全原子力场对CD44受体进行的MD研究。使用这些技术,通常可以达到数百纳秒的模拟时间长度。结合常规的无偏MD和先进的MD方法,将采样偏倚到重要的自由度,对CD44的功能有了新的认识,CD44既是细胞外基质中大碳水化合物分子的受体,其自身的功能是通过支链碳水化合物的共价附着来调节的,使CD44成为糖蛋白。特别是,模拟首次解释了CD44中实验观察到的有序到无序转变的分子机制,这种转变已知会增强其碳水化合物结合亲和力。此外,模拟还首次解释了在实验中观察到的与CD44共价连接的支链碳水化合物中的特定单糖阻断CD44与细胞外基质碳水化合物结合的分子机制。这些见解扩展了对CD44如何执行其生物学功能的理解,包括细胞粘附、迁移和血管运输。重要的是,这些由前沿模拟和计算技术实现的新见解是现有实验方法无法获得的。
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