AFFINImeter Software: from its Beginnings to Future Trends- A Literature review

E. Vegas Muñoz, Ángel Piñeiro
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引用次数: 12

Abstract

INTRODUCTION Molecular recognition is one of the most important events in biological systems. The characterization of molecular interactions is a fascinating research area, fundamental to understand the function of biomolecules and to develop new bioactive compounds (drugs). The comprehensive thermodynamic and kinetic characterization of a binding event requires monitoring the formation of the complex(es) as a function of the concentration of reactants or as a function of time, and the subsequent data analysis using a mathematical model that describes the binding process monitored. During the past years, the growing interest in the field of molecular recognition has been reflected in a considerable improvement in the instruments sensitivity of well stablished biophysical techniques and in the development of new ones; yet less has been investigated in the development and optimization of new analysis tools for a reliable understanding of binding data, and here is where the software AFFINImeter has stepped in. AFFINImeter [1] is a shareware software for the general analysis of binding experiments. It was born upon the need of a tool for the analysis of isothermal titration calorimetry (ITC) measurements that could handle complex interactions in an easyto-use way. Since it was released as a cloud-based software in 2015 many scientist from academic labs, research institutes and pharmaceutical companies are being benefited from the advanced tools that AFFINImeter offers for the reliable characterization of interactions by ITC; at present, AFFINImeter has been adapted for the analysis of titration data generated from different biophysical techniques popular in drug design and discovery programs such as nuclear magnetic resonance (NMR), general spectrometric methods or Microscale thermophoresis (MST).
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AFFINImeter软件:从开始到未来趋势-文献综述
分子识别是生物系统中最重要的事件之一。分子相互作用的表征是一个迷人的研究领域,是理解生物分子功能和开发新的生物活性化合物(药物)的基础。结合事件的综合热力学和动力学表征需要监测络合物的形成作为反应物浓度的函数或作为时间的函数,并使用描述被监测的结合过程的数学模型进行后续数据分析。在过去几年中,对分子识别领域日益增长的兴趣反映在已建立的生物物理技术的仪器灵敏度和新技术的开发方面有了相当大的提高;然而,在开发和优化新的分析工具以可靠地理解绑定数据方面进行的研究却很少,这就是AFFINImeter软件介入的地方。AFFINImeter[1]是一款用于结合实验综合分析的共享软件。它诞生于对等温滴定量热法(ITC)测量分析工具的需求,该工具可以以易于使用的方式处理复杂的相互作用。自2015年作为基于云的软件发布以来,来自学术实验室、研究机构和制药公司的许多科学家都受益于AFFINImeter提供的先进工具,这些工具可以可靠地表征ITC的相互作用;目前,AFFINImeter已适用于分析药物设计和发现程序中流行的不同生物物理技术产生的滴定数据,如核磁共振(NMR),一般光谱法或微尺度热电泳(MST)。
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