Bronze Medal Criteria

Competition Deliverables

Project Description

Contribution

Silver Medal Criteria

Engineering Success

Human Practices

Gold Medal Criteria

Integrated Human Practices

We aimed not only to utilize synthetic biology to solve social issues, but also to deeply understand the impact that such technology has on society and people, with the goal of creating maximum positive impact.

Classification of Activities

  1. Problem Identification and Concept Creation
  1. Concept Verification and Reconstruction
  1. Solution Development
  1. Solution Deployment and Evaluation
  1. Results and Implementation

For more details, please see the Integrated Human Practices page.

Education

Our team organized events for a wide range of audiences, from preschoolers to high school students and adults, to introduce them to synthetic biology and our project.

Overview

Events for Elementary and Middle School Students

Events for High School Students

iGEM Internship: Through project planning experiences, students had the opportunity to solve social issues using biology.

Events for University Students

Events for All Ages (Preschool Children to Adults)

Conclusion

By hosting events for people of various age groups, we were not only able to provide opportunities to learn about synthetic biology to those who had never encountered it before, but also to inform those interested in biology about the iGEM platform and the effects that synthetic biology can have on society. Furthermore, through these activities, we were also able to receive feedback on our project.

For more details, please see the Education page.

Model

Our team constructed comprehensive mathematical models to support the development and optimization of “Xylego,” an E. coli that treats inflammatory bowel disease.

Overview

To support various aspects of the project, we developed the following models:

  1. Ecological Distribution and Engraftment Modeling of Xylitol Metabolism: We investigated how many bacteria in the intestinal microbiota are capable of metabolizing xylitol.
  2. Kill Switch: We conducted mathematical simulations to optimize protein expression levels for the Kill Switch, which is difficult to accomplish through experiments.
  3. enzyme-constrained Flux Balance Analysis (ecFBA): We analyzed the xylitol metabolic pathway and proposed more efficient pathways.
  4. Pharmacological Modeling:To quantitatively evaluate our therapeutic strategy, we developed two pharmacokinetic pharmacodynamic models: one for the conventional therapy, and a second model for our engineered bacteria to simulate its local drug delivery and self-regulation.

Impact on the Project

Our modeling work provided the following key insights:

Conclusion

The models we developed were essential for the design and optimization of our project, enabling us to predict results, optimize parameters, and make informed decisions throughout the development process.

For more details, please see the Model page.