Department of Chemistry, College of Saint Benedict/Saint John's University, Saint Joseph, Minnesota, USA.
Department of Chemistry and Biochemistry, University of California San Diego, San Diego, California, USA.
Biochem Mol Biol Educ. 2024 Jul-Aug;52(4):426-435. doi: 10.1002/bmb.21830. Epub 2024 Mar 22.
Biology is perhaps the most complex of the sciences, given the incredible variety of chemical species that are interconnected in spatial and temporal pathways that are daunting to understand. Their interconnections lead to emergent properties such as memory, consciousness, and recognition of self and non-self. To understand how these interconnected reactions lead to cellular life characterized by activation, inhibition, regulation, homeostasis, and adaptation, computational analyses and simulations are essential, a fact recognized by the biological communities. At the same time, students struggle to understand and apply binding and kinetic analyses for the simplest reactions such as the irreversible first-order conversion of a single reactant to a product. This likely results from cognitive difficulties in combining structural, chemical, mathematical, and textual descriptions of binding and catalytic reactions. To help students better understand dynamic reactions and their analyses, we have introduced two kinds of interactive graphs and simulations into the online educational resource, Fundamentals of Biochemistry, a LibreText biochemistry book. One is available for simple binding and kinetic reactions. The other displays progress curves (concentrations vs. time) for simple reactions and complex metabolic and signal transduction pathways. Users can move sliders to change dissociation and kinetic constants as well as initial concentrations and see instantaneous changes in the graphs. They can also export data into a spreadsheet for further processing, such as producing derivative Lineweaver-Burk and traditional Michaelis-Menten graphs of initial velocity (v) versus substrate concentration.
生物学可能是所有科学中最为复杂的一门学科,因为存在着大量相互关联的化学物质,这些物质在时空途径上的相互联系令人难以理解。它们的相互联系导致了一些涌现的特性,如记忆、意识以及自我和非自我的识别。为了理解这些相互关联的反应如何导致以激活、抑制、调节、内稳态和适应为特征的细胞生命,计算分析和模拟是必不可少的,这一事实已被生物学界所认识。与此同时,学生们在理解和应用最简单反应(如单一反应物不可逆地转化为产物的一级反应)的结合和动力学分析时遇到了困难。这可能是由于学生在结合结合和催化反应的结构、化学、数学和文字描述方面存在认知困难。为了帮助学生更好地理解动态反应及其分析,我们在在线教育资源《生物化学基础》(一本 LibreText 生物化学书籍)中引入了两种交互式图形和模拟。一种可用于简单的结合和动力学反应。另一种则显示简单反应和复杂代谢及信号转导途径的浓度随时间变化的进展曲线。用户可以移动滑块来改变解离和动力学常数以及初始浓度,并即时观察图形的变化。他们还可以将数据导出到电子表格中进行进一步处理,例如生成衍生的 Lineweaver-Burk 和传统的 Michaelis-Menten 初始速度(v)与底物浓度图。