Biochemistry and Molecular Biology Education最新文献

Proposal writing is an essential requirement for making progress in academics. Learning this skill necessitates support from a mentor to cultivate effective habits. It entails effective strategies from graduate students, such as literature reading and using online tools. Additionally, they must develop an understanding of resource accountability, system thinking, and considering deadlines as a driving force. Good practices for effective proposal writing also involve planning to summarize the work done in the field. Moreover, it requires ideal mentor support by providing timely assistance, helping students overcome impostor syndrome, sharing successful proposals, and creating a cooperative environment.

As a rule, an experiment carried out at school or in undergraduate study courses is rather simple and not very informative. However, when the experiments are to be performed using modern methods, they are often abstract and difficult to understand. Here, we describe a quick and simple experiment, namely the enzymatic characterization of ptyalin (human salivary amylase) using a starch degradation assay. With the experimental setup presented here, enzyme parameters, such as pH optimum, temperature optimum, chloride dependence, and sensitivity to certain chemicals can be easily determined. This experiment can serve as a good model for enzyme characterization in general, as modern methods usually follow the same principle: determination of the activity of the enzyme under different conditions. As different alleles occur in humans, a random selection of test subjects will be quite different with regard to ptyalin activities. Therefore, when the students measure their own ptyalin activity, significant differences will emerge, and this will give them an idea of the genetic diversity in human populations. The evaluation has shown that the pupils have gained a solid understanding of the topic through this experiment.

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.

The ability to connect key concepts of biochemistry with clinical presentations is essential for the development of clinical reasoning skills and adaptive expertise in medical trainees. To support the integration of foundational and clinical sciences in our undergraduate health science curricula, we developed a small group active learning exercise during which interprofessional groups of students use clinical cases to explore the biochemistry, diagnostic strategy, and evidence-based treatment options of inborn errors of metabolism (IEM). We designed multistage learning modules consisting of (1.) low-fidelity case simulations of pediatric patients presenting with IEMs, (2.) guided group discussions on clinical biochemistry, differential diagnoses, and diagnostic strategies, (3.) oral presentations of clinical reasoning strategies, and (4.) discussion of relevant evidence-based medicine topics related to the cases. These modules Scientific Knowledge Integrated in Patient Presentations (SKIPPs) were added to a first-semester foundational sciences course serving five health professions programs. The assessment of learning outcomes by students and faculty shows that SKIPPs sessions are well-received activities that significantly improve trainees' ability to integrate foundational science concepts into clinical scenarios, to practice interprofessional teamwork and to develop clinical reasoning skills.

Biotechnology students entering the workforce often struggle in their application of textbook knowledge to build the solutions that we see in science and health fields today. Some students may be naive to what a job in the biotechnology industry can encompass. Students should graduate having a firm grasp of the prospects of their field and have the confidence to begin contributing to the growth of the industry. For this, it is necessary for students to be able to start practising applications in their coursework before they graduate. A competition titled “Biotech BioBrawl” was incorporated in the University of Central Florida's Methods in Biotechnology (MCB4721C/MCB5722C) course agenda during the semester of Fall 2021. This competition challenged students to harness innovation and applied science in a group setting that led to the development and pitch of an original idea to a panel of judges with various biotechnology industry experiences.

Innovations in medical education, including the integration of narrative-based tales, are transforming the way complex biochemical concepts are taught and understood. In this “Idea to Explore”, the essence of integrating tales that personify molecules and depict biochemical processes as engaging stories to enhance student engagement, promote active learning, and improve knowledge retention is discussed. It also explores the effectiveness of scientific discovery games and traditional scientific stories in deepening students' interest in biochemistry. Highlighting the potential of narrative methods to make biochemistry more accessible and engaging, educators are encouraged to adopt creative teaching tools that promote critical thinking, problem-solving, and communication skills, thereby inspiring active participation, and lifelong learning in biochemistry.

We present a new highly interdisciplinary project-based course in computer aided drug discovery (CADD). This course was developed in response to a call for alternative pedagogical approaches during the COVID-19 pandemic, which caused the cancellation of a face-to-face summer research program sponsored by the Louisiana Biomedical Research Network (LBRN). The course integrates guided research and educational experiences for chemistry, biology, and computer science students. We implement research-based methods with publicly available tools in bioinformatics and molecular modeling to identify and prioritize promising antiviral drug candidates for COVID-19. The purpose of this course is three-fold: I. Implement an active learning and inclusive pedagogy that fosters student engagement and research mindset; II. Develop student interdisciplinary research skills that are highly beneficial in a broader scientific context; III. Demonstrate that pedagogical shifts (initially incurred during the COVID-19 pandemic) can furnish longer-term instructional benefits. The course, which has now been successfully taught a total of five times, incorporates four modules, including lectures/discussions, live demos, inquiry-based assignments, and science communication.

As a strategy to carry out a better achievement in the Biochemistry course, undergraduate dentistry education manage a traditional course on the basic concepts of general chemistry necessary in the understanding of Biochemistry. In order to evaluate the effectiveness of learning outcome, we aimed to develop an evaluation tool that was applied to first-year dental students before and after receiving the general chemistry classes. Randomized trial consisted of 50 items distributed in 10 categories. The evaluation was applied to the students who took the Oral Biology course in the periods comprising 2020, 2021, and 2022 to a population of 109 students. Our results showed that after receiving the course the improvement rate was 20.71% with significant differences in each category. In conclusion, the introductory course allows students coming from different school systems to attend Biochemistry with similar knowledge of general chemistry.

The primary objective of science postgraduate education is to foster students' capacity for creative thinking and problem-solving, particularly in the context of scientific research quality. In order to achieve this goal, the “7E” teaching mood has been implemented in the cell biology course for postgraduate students to promote student-centered active inquiry learning instead of breaking away from traditional indoctrination-based teaching methods. This study demonstrates that the implementation of the “7E” teaching mode, through content programming, process design, and effect evaluation, effectively meets the needs of the majority of students, fosters their interest in learning, enhances their performance in comprehensive questioning, and enhances their innovative abilities in scientific research. Consequently, this research offers a theoretical framework and practical foundation for the development of the “7E” teaching mode in postgraduate courses, aiming to cultivate highly skilled scientific professionals.

Laboratory e-learning support tools can assist students' learning while preparing for laboratory classes. To successfully work in such virtual experimental environments (VEEs) outside class, students require self-regulated learning (SRL) skills. A deeper understanding of the continuous reciprocal interactions between SRL, satisfaction, and online engagement is needed to develop more effective online learning experiences. This study therefore aimed to explore the interconnection between students' satisfaction with, effort/importance and engagement in an exemplary VEE, and to relate this to their perceived SRL and learning outcomes. Based on surveys in 79 university students, SRL was related to VEE engagement, effort/importance, and satisfaction. VEE engagement and satisfaction were not related to learning outcomes, while SRL and effort were. Students with different SRL also tended to interact differently with the VEE and experienced differing degrees of procedural and feedback support by the e-environment. We conclude that, for optimal learning experience and outcomes, students' effort regulation and SRL need to be supported while interacting with the VEE, preferably by interventions that integrate personalized and adaptive features. This study has implications for designing and optimizing VEEs and indicates that future research should focus on VEEs taking students' SRL and effort regulation into account to support individual learners effectively.