{"title":"Teaching dynamic mechanisms in signaling pathways using computational simulations","authors":"Tingzhe Sun , Zhengjun Zhao","doi":"10.1016/j.ece.2022.11.002","DOIUrl":null,"url":null,"abstract":"<div><p>Teaching the various contents of signaling in molecular biology to students is challenging. The mechanistic details between the ‘wiring diagram’ of signaling and the cellular outcomes are usually missing in textbooks. Students always feel exhausted when they have to complete the mandatory courses on molecular biology. In current work, MATLAB simulations were introduced to interpret the intrinsically dynamic mechanisms of key signaling pathways. The theoretical basis was first introduced and then two examples related to intrinsic apoptosis and p53 pathway were provided. The high-performance of MATLAB visualization can also help students improve their experiences in learning molecular biology. The strategy of using MATLAB simulations was primarily designed for illustrative purposes and some simply exercises were given for students. The response of students to the questionnaire is generally more positive concerning the suitability of using MATLAB simulations. Most students were interested in the molecular biology courses with modeling contents. We argue that the computational tool may be a useful alternative for engaging students and helps reinforce understanding of signaling pathways.</p></div>","PeriodicalId":48509,"journal":{"name":"Education for Chemical Engineers","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Education for Chemical Engineers","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1749772822000288","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
引用次数: 2
Abstract
Teaching the various contents of signaling in molecular biology to students is challenging. The mechanistic details between the ‘wiring diagram’ of signaling and the cellular outcomes are usually missing in textbooks. Students always feel exhausted when they have to complete the mandatory courses on molecular biology. In current work, MATLAB simulations were introduced to interpret the intrinsically dynamic mechanisms of key signaling pathways. The theoretical basis was first introduced and then two examples related to intrinsic apoptosis and p53 pathway were provided. The high-performance of MATLAB visualization can also help students improve their experiences in learning molecular biology. The strategy of using MATLAB simulations was primarily designed for illustrative purposes and some simply exercises were given for students. The response of students to the questionnaire is generally more positive concerning the suitability of using MATLAB simulations. Most students were interested in the molecular biology courses with modeling contents. We argue that the computational tool may be a useful alternative for engaging students and helps reinforce understanding of signaling pathways.
期刊介绍:
Education for Chemical Engineers was launched in 2006 with a remit to publisheducation research papers, resource reviews and teaching and learning notes. ECE is targeted at chemical engineering academics and educators, discussing the ongoingchanges and development in chemical engineering education. This international title publishes papers from around the world, creating a global network of chemical engineering academics. Papers demonstrating how educational research results can be applied to chemical engineering education are particularly welcome, as are the accounts of research work that brings new perspectives to established principles, highlighting unsolved problems or indicating direction for future research relevant to chemical engineering education. Core topic areas: -Assessment- Accreditation- Curriculum development and transformation- Design- Diversity- Distance education-- E-learning Entrepreneurship programs- Industry-academic linkages- Benchmarking- Lifelong learning- Multidisciplinary programs- Outreach from kindergarten to high school programs- Student recruitment and retention and transition programs- New technology- Problem-based learning- Social responsibility and professionalism- Teamwork- Web-based learning