Analysing the relationship between secondary structures using Machine Learning

We are developing a machine learning model using Support Vector Machine algorithm which will find the similiarity between two protein structures

Using SVMlight

SVM^light is an implementation of Support Vector Machines (SVMs) in C.

• For Installation visit http://svmlight.joachims.org/
• Data Preperation
  
  We need atleast 10 similiar and 10 dissimiliar protein structure to which the similiarity of query should be checked click here
  
• Running
  
  create virtualenv using virtualenv click here
  
  pip install requirements.txt
  
  python main.py

python data_genration.py try.horiz protein1_ss_dataset.fasta