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在 RNA 堆积中寻找离子:计算模型能否准确预测大型大分子复合物中的关键功能元件?

Finding the Ion in the RNA-Stack: Can Computational Models Accurately Predict Key Functional Elements in Large Macromolecular Complexes?

机构信息

European Molecular Biology Laboratory (EMBL) Grenoble, 71 Avenue des Martyrs, Grenoble 38042, France.

Laboratory of Molecular Modelling & Drug Discovery, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genoa, Italy.

出版信息

J Chem Inf Model. 2021 Jun 28;61(6):2511-2515. doi: 10.1021/acs.jcim.1c00572. Epub 2021 Jun 16.

Abstract

This viewpoint discusses the predictive power and impact of computational analyses and simulations to gain prospective, experimentally supported mechanistic insights into complex biological systems. Remarkably, two newly resolved cryoEM structures have confirmed the previous, and independent, prediction of the precise localization and dynamics of key catalytic ions in megadalton-large spliceosomal complexes. This outstanding outcome endorses a prominent synergy of computational and experimental methods in the prospective exploration of such large multicomponent biosystems.

摘要

本文观点讨论了计算分析和模拟的预测能力和影响,以获得对复杂生物系统的前瞻性、实验支持的机械洞察力。值得注意的是,两个新解析的冷冻电镜结构证实了先前独立预测的关键催化离子在兆道尔顿大型剪接体复合物中的精确定位和动力学。这一杰出的结果支持了计算和实验方法在前瞻性探索这种大型多组分生物系统方面的显著协同作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaa9/8278382/d16011254c70/ci1c00572_0001.jpg

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