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Openfold

Team No: 2

Team Members:

  • 2020101132, Mugundan Kottur Suresh
  • 2021121003, Manav Chaudhary

Youtube Video Link

D4 Project Presentation

Problem Statement

Predicting a 3-dimensional structure of a protein molecule from its amino acid sequence with the help of machine learning.

Prerequisites

  • Have Docker installed on your machine. If you don't have Docker installed, you can find instructions for your operating system here.
  • Have CUDA installed on your machine. If you don't have CUDA installed, you can find instructions for your operating system here.
  • Have Python 3.9 installed on your machine. If you don't have Python 3.9 installed, you can find instructions for your operating system here.
  • Install streamlit, py3Dmol and requests using pip. If you don't have pip installed, you can find instructions for your operating system here.

How to Run

  • Clone this repository
  • Navigate to the Docker Backend directory of this repository
  • Run docker build -t openfold . to build the Docker image
  • Run docker run -d -p 8000:8000 openfold to create and run a container from the image
  • Navigate to the Frontend directory and run streamlit run frontend.py to run the frontend

About

Simple Docker Implementation of the OpenFold Algorithm as a combination of their Docker and Google Colab notebook codes

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