From c44d65e917c85a6fbb0501e1b48756b00f98f58a Mon Sep 17 00:00:00 2001
From: Divakar K <divakar.kalivarathan@gmail.com>
Date: Thu, 12 Oct 2023 15:40:51 +0000
Subject: [PATCH] Update file awards.html
---
wiki/pages/awards.html | 90 +++++++++++-------------------------------
1 file changed, 24 insertions(+), 66 deletions(-)
diff --git a/wiki/pages/awards.html b/wiki/pages/awards.html
index 9100162..ee80108 100644
--- a/wiki/pages/awards.html
+++ b/wiki/pages/awards.html
@@ -25,10 +25,10 @@
background-size: 20px 20px; /* Adjust the size of the boxes (20x20 pixels) */
scroll-behavior: smooth;
}
- .contribution-page{
+ .awards-page{
margin-top: 100px;
}
- .contribution-title{
+ .awards-title{
color: #000;
text-align: center;
padding: 16px 0 24px;
@@ -36,39 +36,16 @@
font-size: 40px;
font-weight: 900;
}
- .buttons-container{
- display: flex;
- justify-content: center;
- align-items: center;
- }
- .button-primary {
- display: flex;
- margin: 2em;
- width: 159px;
- padding: 12px 10px;
- justify-content: center;
- align-items: center;
- border-radius: 6px;
- background: #000;
- color: #fff;
- text-align: center;
- font-family: "DM Sans", sans-serif;
- font-size: 14px;
- font-style: normal;
- font-weight: 400;
- line-height: normal;
- border: none;
- }
- .contribution-point{
+ .awards-point{
margin: 2em 0;
}
- .contribution-head{
+ .awards-head{
color: #000;
font-family: 'Amatic SC', cursive;
font-weight: bold;
text-align: left;
}
- .contribution-content{
+ .awards-content{
color: #603b0f;
text-align: justify;
font-family: DM Sans;
@@ -77,22 +54,11 @@
font-weight: 400;
line-height: 24px;
}
- #software-page{
+ #awards-page{
color: #603b0f;
text-decoration: none;
}
- @media (max-width: 1168px){
-
- }
- @media (max-width: 990px){
- .buttons-container{
- flex-direction: column;
- }
- .button-primary{
- flex-shrink: 0;
- margin: 1em 2em;
- }
- }
+
h3{
font-family: 'Amatic SC', cursive;
font-size: 52px;
@@ -101,44 +67,36 @@
}
</style>
-<div class="contribution-page">
- <div class="contribution-title">
- <h3><b>CONTRIBUTION</b></h3>
+<div class="awards-page">
+ <div class="awards-title">
+ <h3><b>AWARDS</b></h3>
</div>
- <section class="buttons-container">
- <button class="button-primary" onclick="scrollToDiv(1)">SeqPredict</button>
- <button class="button-primary" onclick="scrollToDiv(2)">PromoterPredict 2.0</button>
- <button class="button-primary" onclick="scrollToDiv(3)">Protein Model</button>
</section>
- <section class="contribution-container">
- <div class="contribution-point">
- <h2 class="contribution-head">🌿 Introducing SeqPredict: Simplifying Gene Circuit Construction</h2>
- <p class="contribution-content">
- During our initial stages as an iGEM team, we faced difficulties constructing gene circuits. The primary problem was the identification of crucial genetic elements such as Ribosome Binding Sites (RBS), Anderson Promoter Regions, and Flanking Regions. These elements play an important role in the proper regulation and functioning of genetic circuits, making them essential for successful synthetic biology projects.
-
- In response to these challenges, we developed SeqPredict. This software can locate RBS, Anderson Promoter Regions, and Flanking Regions within a given DNA sequence. By doing so, we aim to streamline the process of gene circuit design and assembly, saving teams valuable time and effort.
-
- To know more about SeqPredict: Go to our <a href="https://2023.igem.wiki/svce-chennai/software" id="software-page">software</a> page!
+ <section class="awards-container">
+ <div class="awards-point">
+ <h2 class="awards-head">BEST INTEGRATED HUMAN PRACTICES</h2>
+ <p class="awards-content">
+ We are nominating our exceptional team for the iGEM award in the category of Best Integrated Human Practices. Our approach goes beyond the lab, actively engaging with stakeholders, industries, and academic experts to ensure that our project not only advances the frontiers of synthetic biology but also addresses real-world challenges. Our human practices page provides more details on our holistic approach to synthetic biology. <a href="#" id="ighp-page">iGHP</a> page!
</p>
</div>
- <div class="contribution-point">
- <h2 class="contribution-head">🌿 Build upon existing software</h2>
- <p class="contribution-content">
- One of the programs that was developed by our iGEM 2017 team was the “<b>Promoter Strength Predictor.</b>" This tool adapts a machine learning approach to predict the strength of Sigma 70 promoters in E. coli, thus streamlining and enhancing promoter selection for the iGEM projects. To utilize this tool, users need to input the DNA sequence of the promoter to predict its strength. The predicted promoter strength is reported based on comparing the values associated with the well-characterized Anderson promoters, which are known for their expression levels. Specifically, the user should submit the -10 and -35 hexamers of the promoter sequence as input. Upon submission, our tool will analyze and predict its strength. We developed an upgraded version of this software, “<b>PromoterStrengthPredict 2.0</b>â€, which involves finding the RBS strength when the sequence is given as the input. The output will be a 2-D plot between the RBS sequence score (X-axis) and the RBS strength value (Y-axis). To know more about PromoterStrengthPredict 2.0: Go to our <a href="https://2023.igem.wiki/svce-chennai/software" id="software-page">software</a> page!
+ <div class="awards-point">
+ <h2 class="awards-head">BEST EDUCATION AND COMMUNICATION</h2>
+ <p class="awards-content">
+ From designing captivating educational modules and interactive workshops to effectively communicating our project, we've consistently strived to bridge the gap between science and society. Our team's ability to convey complex scientific concepts with clarity and enthusiasm has not only enriched our own iGEM experience but has also empowered us to inspire and educate others, including school and college students and the public. We believe that our dedication to education and communication sets us apart, making us deserving candidates for the Best Education and Communication Award. Go to our <a href="#" id="education-page">Education</a> page!
</p>
</div>
- <div class="contribution-point">
- <h2 class="contribution-head">🌿 Modeling of an existing part</h2>
- <p class="contribution-content">
- Our team has uploaded additional information for an existing part in the iGEM registry <a href="https://parts.igem.org/Part:BBa_K729002">BBa_K729002</a>. We added Ramachandran Plot, 2-D and 3-D interaction plots for Laccase and Polyethylene. The three dimensional structure of the protein was predicted using SWISS-MODEL. The model was validated using Ramachandran plot analysis. It was observed that 95.91 % of the residues were under the favoured region. This confirms the reliability of the predicted protein model. The molecular docking analysis was performed for laccase and PE (Polyethylene n=10) using AUTODOCK tools. From the 2D and 3D interaction maps it was observed that the PE was within the active site pocket and residues LYS474, PRO274, VAL 300, LEU276 was found to interact with the PE substrate.
+ <div class="awards-point">
+ <h2 class="awards-head">NEW BASIC PART</h2>
+ <p class="awards-content">
+ The new basic part we submitted to the registry is a nitroreductase enzyme, which catalyzes the conversion of nitro to amino groups. A specific NO<sub>2</sub> group in an aromatic compound is reduced to NH<sub>2</sub> by a 2-electron transfer mechanism. This is type-1 nitroreductase, which is oxygen-insensitive. This can reduce nitro compounds in the presence of oxygen. This can be used for the environmental degradation of nitroaromatic compounds. This part has been characterized and uploaded to the Parts Registry for future iGEM teams to use. Take a look at our New Basic Part:<a href="https://parts.igem.org/wiki/index.php?title=Part:BBa_K4864000" target="_blank">BBa_K4864000</a>
</p>
</div>
</section>
</div>
<script>
function scrollToDiv(section) {
- const div = document.querySelector(`.contribution-point:nth-child(${section})`);
+ const div = document.querySelector(`.awards-point:nth-child(${section})`);
div.scrollIntoView({ behavior: 'smooth' });
}
</script>
--
GitLab