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Inspiration

Our project, DNA Mutation Simulation, was inspired by the fascinating field of genetics and the desire to understand how mutations in DNA can lead to various genetic disorders and diseases. We were intrigued by the complexity of the genetic code in our education and wanted to create a tool that could simulate different types of DNA mutations and their effects on the resulting protein sequences.

What it does

DNA Mutation Simulation is a Python-based program that allows users to input a DNA sequence and simulate different types of mutations. The program provides options for substitution, deletion, insertion, and inversion mutations. It also includes a codon chart to translate the mutated DNA sequence into corresponding amino acids, giving insights into the potential impact on protein structure and function, and using Severity Analytics to assess damage.

How we built it

We built the DNA Mutation Simulation using the Python programming language. The program utilizes basic string manipulation techniques to handle user input and simulate the different types of mutations. We incorporated a codon chart, which maps DNA codons to their corresponding amino acids, to aid in translating the mutated DNA sequence. We built our website using HTML, CSS, and JS, in order to provide more information, and to show how to run it.

Challenges we ran into

We spent quite a deal of time thinking of a good idea, though after that, during the development of DNA Mutation Simulation, we encountered several challenges. One of the main challenges was ensuring the validation and handling of user input to prevent errors and maintain the integrity of the DNA sequence. We also faced difficulties in accurately simulating the different types of mutations and ensuring the correct translation of the DNA sequence into amino acids.

Accomplishments that we're proud of

Efficient error handling and integration of custom and preset mutations
Coming up with and collaborating on a good idea
Integration of a codon chart reader to help distinguish type of mutations ## What we learned Throughout the development of DNA Mutation Simulation, we gained a deeper understanding of genetics, DNA structure, and protein synthesis. We gained a deeper understanding of python and applying basic concepts of bioinformatics to simulate mutations and their consequences. ## What's next for DNA Mutation Simulation In the future, we plan to integrate JS elements to enable us to put the program natively on the website, and to develop a more friendly user interface with animations.

VIDEO LINK: https://www.canva.com/design/DAFk4QFZUwg/eOp4Sa8IyqTTVHNS8Bg3og/edit?utm_content=DAFk4QFZUwg&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton

Built With

Submitted to

HackJPS 2023

Created by

I assisted in creating the backend python code and helped with handling errors found in the code as well as forming ideas for our project.

Shridhar Garg
I worked on the python backend. Specifically, I helped in the presets for the mutations, and coded insertion and deletions for the mutations.

Eshaan B
I integrated the codon chart reading, error handling, and the code for preset mutations

Abhinav Senthilkumar
I worked with our group and came up with the idea of our lab, which evolved as we went forward. I was one of the backend programmers in the group and served as a project manager in our team. I took charge of managing our schedule, splitting up our work, and adjusting work based on each person's strengths and weaknesses. Additionally, I worked with Abhinav for error handling within the program.

Rohan Kulkarni
I worked on backend Python code for Mutation Tech, including the user guidance, custom mutations, preset mutations, severity analysis, and probability of mutation, also specifically adding insertions, deletions, substitutions, and inversions. I also created the informational website for Mutation Tech with the resources and the downloadable/viewable program accessible here: https://mutationtech.netlify.app/

Akshat Santhana gopalan