protein idetification in terms of their functionality using machine learning

Proteomics is one of the promising field of BME which exclusively deals with the study of proteins. Proteins are of significance importance as they not only constitute our body but also are vital to our life, as change in sequence of amino acid or in structural configuration leads to differen

Project Title

protein idetification in terms of their functionality using machine learning

Project Area of Specialization

Artificial Intelligence

Project Summary

Proteomics is one of the promising field of BME which exclusively deals with the study of proteins.

Proteins are of significance importance as they not only constitute our body but also are vital to our life, as change in sequence of amino acid or in structural configuration leads to different diseases including cancer. Study of Protein at cellular level will help us to understand its activities. Our project deals with the implementation of neural network in protein with the help of which we will extract features of protein.

Proteomics is one of the promising field of BME which exclusively deals with the study of proteins.Proteins are of significance importance as they not only constitute our body but also are vital to our life, as change in sequence of amino acid or in structural configuration leads to different diseases including cancer. Study of Protein at cellular level will help us to understand its activities. Our project deals with the implementation of machine learning in protein with the help of which we will extract features of protein.

Project Objectives

•TO FIND PERCENTAGE OF ALPHA HELIX IN SECONDARY STRUCTURE OF PROTEIN USING MACHINE LEARNING.

Project Implementation Method

1. we will use database of protein already availableif
2. we will train the data base 
3. then testing will be performed
4. we will use 2 different algorithms of supervised machine learning
5. compare the result of two algoritms in terms of detecting the aplha helix in secondary structure

Benefits of the Project

PROTEIN IDENTIFICATION IS A MAJOR TASK OF PROTEOMIC LAB WHICH TAKES A LOT OF TIME SO TO REDUCE THE TIME AND MEN EFFORT WE ARE FINDING THE PERCENTAGE OF ALPHA HELIX IN SECONDARY STRUCTURE OF PROTEIN USING  MACHINE LEARNING. 

Technical Details of Final Deliverable

the final deliverable is an algorithm which will yield the percentage of alpha chain in secondary structure of protein

Final Deliverable of the Project

Software System

Core Industry

Medical

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com