Protential

Protential combines AI and healthcare to generate models of protein structures in3D and provides a reserve for patient data, guiding researchers towards a more efficient pathway to finding a cure.

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Inspiration

Our team was inspired by the rigorous process undergone by researchers during the COVID-19 pandemic to develop an effective cure. We noted that time and efficiency was significant in this situation, as every minute passing meant many infections, and began to wonder if there was any way we could use technology to improve in this area. As some of our parents are in the industry, we were in contact with professionals who gave us first-hand opinions on the main challenges experienced in the development of new drugs. Taking these in mind, we decided to create a web application with the power of AI technology to help optimize efficiency and resources.

What it does

Firstly it builds 3d models of proteins, which allow for visualization of them in their folded state. The significance of this is that this process would normally be very time intensive with Xray crystallography. However we are able to instantly create a 3d model virtually. We also provide an AI chat bot that is able to guide users and tell them more information about protein inhibition and its potential uses for drug development. Finally, our blockchain technology allows for researchers to securely access patient data using smart contracts, which allow for greater accessibility of data.

How we built it

We built this using streamlit to deploy the generative AI for the 3d models. Then we used the ChatGPT API to fetch data from ChatGPT. We then integrated blockchain technology and smart contracts by deploying it on a Sepolia test network and coding it on Solidity.

Challenges we ran into

It was difficult to connect back-end to front-end since we connected many outside APIs as well as using data from outsourced databases. There were many complications when integrating all the components of our project together.

Accomplishments that we're proud of

We are proud that we created a product that could has real world impacts and benefits, not just for ourselves, but for the whole of society. This product could potentially save many lives in the future and drastically cut down on expenditure. We are proud that we were able to string all the pieces together for this complicated project and make it function with efficacy.

What we learned

We learnt how to program in solidity and how to connect API to the front end with the Ethereum blockchain. We learned how to effectively use blockchain technology, as well as, building 3d models using large language models (LLMs) that use generative AI.

What's next for Protential

We can look into optimizing other steps in the process of developing a new medicine. By using deep learning we can analyze vast amounts of data and predict potential side effects of using certain molecules as well as other conditions for optimum effectiveness. This would continue in our goal to reduce cost and time when developing new solutions. For example we could analyse other biological molecules such as lipids and nucleic acids. We could also implement AR to have chemicals interact with each other.

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