Biotech Today
  • Year: 2020
  • Volume: 10
  • Issue: 1

Prediction and validation of protein-protein interaction using protein 3D structure and physicochemical properties by the aid of support vector machine.

  • Author:
  • Veena Rajan2, Dwijesh Chandra Mishra1,*, Neeraj Budhlakoti1, Sundeep Kumar2
  • Total Page Count: 3
  • Published Online: Dec 16, 2020
  • Page Number: 12 to 14

1IASRI, New Delhi,

2NBPGRNew Delhi

*Coressponding address: mishramyco@yahoo.com

Abstract

Protein-protein interactions are interactions between proteins that take place due to certain chemical reactions and electrostatic forces. Predicting these interactions plays an important role in reducing the time and cost of wet lab experiments. Firstly, identifying the interaction sites is needed to predict the protein-protein interactions. Using SVM these interacting sites were predicted. The prediction was done using the structural information plus features like hydrphobicity, x-coordinates, y-coordinates, z-coordinates, surface tension, charge, alpha helix, β helix, turn, van der waals, molecular weight, solubility.

Keywords

Sklearn, Hydrphobicity, SVM