Difference between revisions of "Team:NCTU Formosa/Criteria"

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                 <h1 class="topic" id="topic1">Gold</h1>
 
                 <h1 class="topic" id="topic1">Gold</h1>
 
                     <h2 class="subtopic" id="topic1">Integrated Human Practices</h2>
 
                     <h2 class="subtopic" id="topic1">Integrated Human Practices</h2>
 +
                        <p>
 +
                    &#8195;&#8195;To ensure our project caters to the needs of the actual situation, we visit the animal shelter and invite professors in the dentistry and veterinary medicine department to discuss the concept of the project. After deciding to focus on canine oral health first, we visited Hsinchu City Animal Protection and Health Inspection Office. Due to the lack of oral medical resources, many dogs suffer from oral-related diseases. After the visit, the idea of making their life more comfortable becomes firmer. Throughout the discussion with Prof. Cheng Hen-Li, we choose the antimicrobial peptide inhibiting the growth of P.gingivalis. In interviewing with Prof. Liu, Pin-Chen recommended adding our engineered bacteria into the dental bone, making dental medical treatment simpler and less intrusive. Besides, Prof. Liu, Pin-Chen instructs us it is difficult to calculate a suitable dental bone feeding frequency. Thus, we construct an Efficiency Optimization Model for precise dental bone feeding.
 +
                        </p>
 
                         <a href="https://2021.igem.org/Team:NCTU_Formosa/Human_Practices">See the Human Practices page for more information!</a>
 
                         <a href="https://2021.igem.org/Team:NCTU_Formosa/Human_Practices">See the Human Practices page for more information!</a>
 +
 
                     <h2 class="subtopic" id="topic1">Project Modeling</h2>
 
                     <h2 class="subtopic" id="topic1">Project Modeling</h2>
 +
                        <p>
 +
                    &#8195;&#8195;Oral cavity is a hotbed for pathogens of periodontal diseases, as the goal of modelling is to simulate the microenvironment incorporated with Denteeth, mainly the overturn of pathogens, and make predictions on their extinction. Therefore, we compute the competing bacterial growing patterns, and the killing effect on pathogens. Also, we propose a renew rate of the final product, considering the biobrick design in Danteeth, including quorum sensing, target peptide expression. Altogether, the model enables Danteeth to optimize continually with the help of reinforcement AI. The model consists of two parts: 1. Prediction Model 2. Efficiency
 +
                              Optimization Model
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                        </p>
 
                         <a href="https://2021.igem.org/Team:NCTU_Formosa/Model">See the Model page for more information!</a>
 
                         <a href="https://2021.igem.org/Team:NCTU_Formosa/Model">See the Model page for more information!</a>
 
                     <h2 class="subtopic" id="topic1">Proof of Concept</h2>
 
                     <h2 class="subtopic" id="topic1">Proof of Concept</h2>

Revision as of 00:18, 22 October 2021


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Gold

Integrated Human Practices

  To ensure our project caters to the needs of the actual situation, we visit the animal shelter and invite professors in the dentistry and veterinary medicine department to discuss the concept of the project. After deciding to focus on canine oral health first, we visited Hsinchu City Animal Protection and Health Inspection Office. Due to the lack of oral medical resources, many dogs suffer from oral-related diseases. After the visit, the idea of making their life more comfortable becomes firmer. Throughout the discussion with Prof. Cheng Hen-Li, we choose the antimicrobial peptide inhibiting the growth of P.gingivalis. In interviewing with Prof. Liu, Pin-Chen recommended adding our engineered bacteria into the dental bone, making dental medical treatment simpler and less intrusive. Besides, Prof. Liu, Pin-Chen instructs us it is difficult to calculate a suitable dental bone feeding frequency. Thus, we construct an Efficiency Optimization Model for precise dental bone feeding.

See the Human Practices page for more information!

Project Modeling

  Oral cavity is a hotbed for pathogens of periodontal diseases, as the goal of modelling is to simulate the microenvironment incorporated with Denteeth, mainly the overturn of pathogens, and make predictions on their extinction. Therefore, we compute the competing bacterial growing patterns, and the killing effect on pathogens. Also, we propose a renew rate of the final product, considering the biobrick design in Danteeth, including quorum sensing, target peptide expression. Altogether, the model enables Danteeth to optimize continually with the help of reinforcement AI. The model consists of two parts: 1. Prediction Model 2. Efficiency Optimization Model

See the Model page for more information!

Proof of Concept

See the Proof of Concept page for more information!

Partnership

See the Partnership page for more information!

Education & Communication

See the Communication page for more information!

Excellence in Another Area

See the Excellence_in_Another_Area page for more information!

Silver

Engineering Success

Collaboration

Human Practices

Proposed Implementation

Bronze

Competition Deliverables

Attributions

Project Description

Contribution

  With quorum sensing and repressible promoter, our biobrick has a time span to achieve oral sterilization and restoration. With the increase of oral bacteria, it will activate the antimicrobial peptide LL-37 to inhibit the large amount of bacteria which cause tooth decay and periodontal disease. When the amount of bacteria decrease, it will activate BMP2 and STATH to repair gums and help tooth remineralization. This mechanism can avoid the formation of biofilm during the remineralization process, and it also can achieve the best efficient restoration on the condition of fewer bacteria.


Reference

  1. Mounika Basavaraju, Vidya SagarSisnity et al.(2016)”Quorum quenching: Signal jamming in dental plaque biofilms”Journal of dental sciences 11(4):349-352
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