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用于分析蛋白质-聚糖相互作用的计算工具箱。

Computational toolbox for the analysis of protein-glycan interactions.

作者信息

Nieto-Fabregat Ferran, Lenza Maria Pia, Marseglia Angela, Di Carluccio Cristina, Molinaro Antonio, Silipo Alba, Marchetti Roberta

机构信息

Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 4, 80126, Italy.

出版信息

Beilstein J Org Chem. 2024 Aug 22;20:2084-2107. doi: 10.3762/bjoc.20.180. eCollection 2024.

DOI:10.3762/bjoc.20.180
PMID:39189002
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11346309/
Abstract

Protein-glycan interactions play pivotal roles in numerous biological processes, ranging from cellular recognition to immune response modulation. Understanding the intricate details of these interactions is crucial for deciphering the molecular mechanisms underlying various physiological and pathological conditions. Computational techniques have emerged as powerful tools that can help in drawing, building and visualising complex biomolecules and provide insights into their dynamic behaviour at atomic and molecular levels. This review provides an overview of the main computational tools useful for studying biomolecular systems, particularly glycans, both in free state and in complex with proteins, also with reference to the principles, methodologies, and applications of all-atom molecular dynamics simulations. Herein, we focused on the programs that are generally employed for preparing protein and glycan input files to execute molecular dynamics simulations and analyse the corresponding results. The presented computational toolbox represents a valuable resource for researchers studying protein-glycan interactions and incorporates advanced computational methods for building, visualising and predicting protein/glycan structures, modelling protein-ligand complexes, and analyse MD outcomes. Moreover, selected case studies have been reported to highlight the importance of computational tools in studying protein-glycan systems, revealing the capability of these tools to provide valuable insights into the binding kinetics, energetics, and structural determinants that govern specific molecular interactions.

摘要

蛋白质-聚糖相互作用在众多生物过程中发挥着关键作用,从细胞识别到免疫反应调节。了解这些相互作用的复杂细节对于解读各种生理和病理状况背后的分子机制至关重要。计算技术已成为强大的工具,可帮助绘制、构建和可视化复杂生物分子,并在原子和分子水平上深入了解其动态行为。本文综述了有助于研究生物分子系统(特别是聚糖,包括游离状态和与蛋白质结合的状态)的主要计算工具,并参考了全原子分子动力学模拟的原理、方法和应用。在此,我们重点介绍了通常用于准备蛋白质和聚糖输入文件以执行分子动力学模拟并分析相应结果的程序。所展示的计算工具箱为研究蛋白质-聚糖相互作用的研究人员提供了宝贵资源,并纳入了用于构建、可视化和预测蛋白质/聚糖结构、模拟蛋白质-配体复合物以及分析分子动力学结果的先进计算方法。此外,还报告了一些选定的案例研究,以突出计算工具在研究蛋白质-聚糖系统中的重要性,揭示这些工具提供有关控制特定分子相互作用的结合动力学、能量学和结构决定因素的宝贵见解的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/947d/11346309/9e38654298b8/Beilstein_J_Org_Chem-20-2084-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/947d/11346309/06c24df5c312/Beilstein_J_Org_Chem-20-2084-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/947d/11346309/999125ef8666/Beilstein_J_Org_Chem-20-2084-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/947d/11346309/b19d5919e71a/Beilstein_J_Org_Chem-20-2084-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/947d/11346309/77ba8d60fcbf/Beilstein_J_Org_Chem-20-2084-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/947d/11346309/9e38654298b8/Beilstein_J_Org_Chem-20-2084-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/947d/11346309/06c24df5c312/Beilstein_J_Org_Chem-20-2084-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/947d/11346309/999125ef8666/Beilstein_J_Org_Chem-20-2084-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/947d/11346309/b19d5919e71a/Beilstein_J_Org_Chem-20-2084-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/947d/11346309/77ba8d60fcbf/Beilstein_J_Org_Chem-20-2084-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/947d/11346309/9e38654298b8/Beilstein_J_Org_Chem-20-2084-g006.jpg

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