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糖-凝集素相互作用的计算建模

Computational modeling of the sugar-lectin interaction.

作者信息

Neumann Dirk, Lehr Claus-Michael, Lenhof Hans-Peter, Kohlbacher Oliver

机构信息

Center for Bioinformatics Saar, Bldg. 36.1, Saarland University, 66123 Saarbrücken, Germany.

出版信息

Adv Drug Deliv Rev. 2004 Mar 3;56(4):437-57. doi: 10.1016/j.addr.2003.10.019.

Abstract

In the last few years numerous experimental studies have shed light onto the details of the lectin-carbohydrate interaction. X-ray crystallography and NMR spectroscopy have been used to elucidate the structures of lectins, sugars, and their complexes. In addition, an increasing number of experimental methods has been employed to determine the thermodynamic and kinetic parameters of the binding process. Based on this experimental data, computational methods have been developed to model and predict these interactions. A plethora of techniques from Molecular Modeling and Computational Chemistry have been applied to the problem and current models achieve high-quality predictions. These successes are based on both new theoretical approaches and reliable experimental data. The aim of the present article is to outline the most relevant computational and experimental methods applied in the field of lectin-carbohydrate interaction and to give an overview of the current state of the art in the modeling of these interactions with a focus on plant lectins.

摘要

在过去几年中,众多实验研究揭示了凝集素与碳水化合物相互作用的细节。X射线晶体学和核磁共振光谱已被用于阐明凝集素、糖类及其复合物的结构。此外,越来越多的实验方法被用于确定结合过程的热力学和动力学参数。基于这些实验数据,已开发出计算方法来模拟和预测这些相互作用。分子建模和计算化学的大量技术已应用于该问题,当前模型实现了高质量的预测。这些成功基于新的理论方法和可靠的实验数据。本文的目的是概述凝集素与碳水化合物相互作用领域中应用的最相关的计算和实验方法,并概述这些相互作用建模的当前技术水平,重点是植物凝集素。

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