In presenting and showcasing our project, we have also conducted a thorough self-assessment, evaluating both our achievements and areas for improvement, while considering our contributions to broader society. Below is our self-assessment of our qualifications and suitability for the awards we are seeking.
Bronze Medal Criteria
Our self-assessment demonstrates our fulfillment of bronze medal criteria:
- Deliverables
- Attributions
- Project Description
- Contribution
Silver Medal Criteria
Along with bronze, our achievements in engineering success and human practices prove our fulfillment of the silver medal criteria.
- Engineering Success
- Human Practices
Gold Medal Criteria
We present 3 links below that proves our fulfillment of the gold metal criteria.
- New Basic Part
- Integrated Human Practices
- Model
New Basic Part
We uploaded 13 new basic parts to the iGEM Distribution Kit. These new parts represent a well-characterized and validated improvement over its wild-type counterpart, offering enhanced enzymatic activity and stability. The addition of these new parts is a contribution to future teams aiming to tackle problems related to microplastic degrading, promoting sustainable development on a wider scale. More information can be found in
BASIS-China 2024 Parts page.
Integrated Human Practices
Throughout the development and implementation of our project, we conducted a variety of human practices that helped raise awareness about the issue we are addressing while also overcoming obstacles. We interviewed a range of professionals to gather diverse perspectives on our approach to reducing microplastics. Additionally, we organized events to increase public awareness of the problem and promote potential solutions. These efforts allowed us to engage both the scientific community and the public in our mission to combat microplastic pollution. Specific information can be found on the
BASIS-China 2024 HP page.
Model
Our AI model is specifically designed to predict the activity of newly engineered parts, improving both the efficiency and effectiveness of experimental design and outcomes. This model can also forecast the activity of other PETase variants, making it a valuable tool and resource for future iGEM teams, supporting ongoing innovation and research. Additionally, by using the Michaelis-Menten equation, we accurately measured enzymatic reactions and substrate concentrations, significantly enhancing the efficiency of our project execution. More information can be found in
BASIS-China 2024 Model page.