Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and cellular biology to pharmacology. However, because enzyme kinetics involves concepts rarely employed in other areas of biology, it can be challenging for students and researchers. Traditional graphical analysis was replaced by computational analysis, requiring another skill not core to many life sciences curricula. Computational analysis can be time-consuming and difficult in free software (e.g., R) or require costly software (e.g., GraphPad Prism). We present Enzyme Kinetics Analysis (EKA), a web-tool to augment teaching and learning and streamline EKA. EKA is an interactive and free tool for analyzing enzyme kinetic data and improving student learning through simulation, built using R and RStudio's ShinyApps. EKA provides kinetic models (Michaelis–Menten, Hill, simple reversible inhibition models, ternary-complex, and ping-pong) for users to fit experimental data, providing graphical results and statistics. Additionally, EKA enables users to input parameters and create data and graphs, to visualize changes to parameters (e.g., $K_M$ or number of measurements). This function is designed for students learning kinetics but also for researchers to design experiments. EKA (enzyme-kinetics.shinyapps.io/enzkinet_webpage/) provides a simple, interactive interface for teachers, students, and researchers to explore enzyme kinetics. It gives researchers the ability to design experiments and analyze data without specific software requirements.

中文翻译：

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酶动力学分析：用于分析酶初始速率数据和教授酶动力学的在线工具


酶是自然界的催化剂，介导生命系统中的化学过程。酶功能和机制的研究包括定义最大催化速率和对底物的亲和力（以及其他因素），称为酶动力学。酶动力学是生物化学课程和其他学科（从分子和细胞生物学到药理学）的主要内容。然而，由于酶动力学涉及其他生物学领域很少使用的概念，因此对学生和研究人员来说可能具有挑战性。传统的图形分析被计算分析所取代，这需要另一种并非许多生命科学课程核心的技能。在免费软件（例如 R）中进行计算分析可能非常耗时且困难，或者需要昂贵的软件（例如 GraphPad Prism）。我们推出酶动力学分析 (EKA)，这是一种网络工具，可增强教学和学习并简化 EKA。 EKA 是一款交互式免费工具，用于分析酶动力学数据并通过模拟改进学生的学习，使用 R 和 RStudio 的 ShinyApps 构建。 EKA 提供动力学模型（Michaelis-Menten、Hill、简单可逆抑制模型、三元复合物和乒乓模型）供用户拟合实验数据，提供图形结果和统计数据。此外，EKA 使用户能够输入参数并创建数据和图表，以可视化参数的更改（例如， $K_{\mathrm{中号}}$或测量次数）。 该功能专为学生学习动力学而设计，也可供研究人员设计实验。 EKA (enzyme-kinetics.shinyapps.io/enzkinet_webpage/) 为教师、学生和研究人员提供了一个简单的交互式界面来探索酶动力学。它使研究人员能够在没有特定软件要求的情况下设计实验和分析数据。