Education and outreach are fundamental values integral to the iGEM mission, and we embraced these ideals through a comprehensive and inclusive approach. Our initiatives targeted a wide array of students, ranging from aspiring young scientists to high school and undergraduate learners, including those from economically and socially marginalized backgrounds. We organized a variety of activities, such as the Tech-Bio Ideathon and informative sessions on synthetic and computational biology, to engage participants from all backgrounds.
We extended our outreach efforts to the broader iGEM community and society at large too. This involved hosting a workshop on molecular dynamics and PyMOL modelling for other iGEM teams, participating in the All India iGEM Meet, and launching a series of talks designed to raise awareness and encourage discussions on protein modelling and computational biology research, along with their practical applications. To maximize our impact, we also partnered with science foundations and several student-led clubs at our institute.
We are confident that we have successfully fulfilled the criterion of education and outreach by fostering awareness and learning across diverse segments of society. Throughout our endeavors, we emphasized inclusivity and maintained a thoughtful, well-rounded approach.
Inclusivity is a core principle of the iGEM mission, and we are dedicated to ensuring that our initiatives reach individuals from various age groups, genders, and diverse backgrounds. Our sessions were specifically designed to engage participants from middle school to college, offering tailored sessions that cater to different learning needs. We prioritized inclusivity by actively encouraging the participation of underrepresented groups including students from economically disadvantaged communities. Additionally, we were proud to see a significant increase in women's participation in the ideathon, reflecting our commitment to fostering gender inclusivity and empowering female students to engage in STEM fields.
To further enhance our outreach, we developed an accessibility tool aimed at improving website usability for individuals with various disabilities. This tool ensures that our educational resources are more approachable and comprehensible, enabling all users to access valuable information without barriers.
In addition, we created a command-line tool for protein electrostatics analysis, designed to assist researchers and students at all skill levels. This tool simplifies complex calculations, making it easier for individuals to engage with protein analysis regardless of their technical background. Through these initiatives, we have not only fostered a more inclusive environment within our project but have also laid the groundwork for a broader, more accessible scientific community. We believe our commitment to inclusivity has enriched our work, allowing us to inspire and empower a diverse range of participants in the exciting fields of synthetic and computational biology.
Our model, IMPROViSeD, is a strong contender for the Best Model Award due to its innovative, integrated approach to protein structure modelling. By combining concepts from graph-embedding, multi-view registration, and crosslink data refinement, our model ensures accurate and biologically valid protein conformations with remarkable computational efficiency. Key features, such as optimization on \(\mathbb{SE}(3)\), semi-definite programming, and parallel execution, make IMPROViSeD scalable and capable of handling large datasets. Additionally, its ability to integrate experimental uncertainty, generate hypothetical contact points, and include energy minimization for thermodynamic stability makes our model a robust tool for real-world applications like drug design. This novel workflow not only delivers rapid and accurate results, but also exemplifies mathematical rigor and practical relevance.