Latest trends in structure based drug design with protein targets.
基于结构的蛋白质靶点药物设计最新趋势
📄 英文摘要 English Abstract
Structure based drug designing is an important endeavor in the field of structural bioinformatics. Previously the entire process was dependent on the wet-lab experiments to build libraries of ligand molecules. And the molecules used to be tested to determine their binding efficacies with protein target. However, the entire process is very lengthy and above all highly expensive. With the advent of supercomputers and increasing computational powers, the search process for finding suitable ligand molecules against target proteins have become more streamlined and cost-effective. Now the entire ligand search process is performed in-silico with the help of the techniques of virtual screening, molecular docking simulations and molecular dynamics studies. In the present chapter, a brief overview of the computational techniques involved in structure based drug designing is presented with a special emphasis on the thermodynamic principles behind the molecular interactions.
📄 中文摘要 Chinese Abstract
📋 英文结构化总结 English Structured Summary
摘要整理
Background:
Structure based drug designing is an important endeavor in the field of structural bioinformatics. Previously the entire process was dependent on the wet-lab experiments to build libraries of ligand molecules. And the molecules used to be tested to determine their binding efficacies with protein target. However, the entire process is very lengthy and above all highly expensive.
Methods:
With the advent of supercomputers and increasing computational powers, the search process for finding suitable ligand molecules against target proteins have become more streamlined and cost-effective. Now the entire ligand search process is performed in-silico with the help of the techniques of virtual screening, molecular docking simulations and molecular dynamics studies. In the present chapter, a brief overview of the computational techniques involved in structure based drug designing is presented with a special emphasis on the thermodynamic principles behind the molecular interactions.
Results:
The text does not present specific experimental results; it describes a chapter that provides a brief overview of computational techniques with emphasis on thermodynamic principles.
Data Summary:
No quantitative results or key statistics are provided in the extracted text.
Conclusions:
With the advent of supercomputers and increasing computational powers, the search process for finding suitable ligand molecules against target proteins have become more streamlined and cost-effective. The chapter presents an overview of the computational techniques involved in structure based drug designing with a special emphasis on the thermodynamic principles behind the molecular interactions.
Practical Significance:
The computational techniques of virtual screening, molecular docking simulations and molecular dynamics studies are used to perform the entire ligand search process in-silico, making the search for suitable ligand molecules against target proteins more streamlined and cost-effective for real-world drug design applications.
📋 中文结构化总结 Chinese Structured Summary
背景:
基于结构的药物设计是结构生物信息学领域的一项重要工作。过去,整个过程依赖于湿实验来构建配体分子库,并通过实验测试这些分子与靶蛋白的结合效力。然而,整个过程非常耗时且成本极高。
方法:
随着超级计算机的出现和计算能力的不断提升,针对靶蛋白寻找合适配体分子的搜索过程变得更加高效且经济可行。如今,整个配体筛选过程借助虚拟筛选、分子对接模拟和分子动力学研究等技术以计算机模拟(in-silico)的方式完成。本章简要概述了基于结构药物设计所涉及的计算技术,并特别强调了分子相互作用背后的热力学原理。
结果:
本文未呈现具体的实验结果,而是描述了一章内容,该章节简要概述了相关计算技术,并着重阐述了热力学原理。
数据摘要:
所提取的文本中未提供定量结果或关键统计数据。
结论:
随着超级计算机的出现和计算能力的不断提升,针对靶蛋白寻找合适配体分子的搜索过程变得更加高效且经济可行。本章概述了基于结构药物设计所涉及的计算技术,并特别强调了分子相互作用背后的热力学原理。
实际意义:
虚拟筛选、分子对接模拟和分子动力学研究等计算技术被用于以计算机模拟方式完成整个配体筛选过程,使得针对靶蛋白寻找合适配体分子的工作在实际药物设计应用中更加高效且经济可行。