homology modeling methodology

Methodology for Homology Modeling of a Simple Protein


Previously, we have explained the initial methods involved in the structure prediction of a protein. In that article, we discussed the three basic methods involved in protein structure prediction: Homology modeling, ab-initio, and threading. In this article, we will explain the methodology involved in performing the homology modeling of a simple protein.

Homology modeling uses a template structure to predict a new structure for a query protein. We go for homology modeling when enough similarity (~ 30-32 %) for the query protein can be found in the available databases. The most widely used and accurate prediction server is the Swiss Model [1]. A complete flowchart is shown below in Figure 1.


homology-modeling figure

Figure 1 Basic steps involved in homology modeling.

These are the basic steps followed during the homology modeling of a simple protein. There are several other software/tools that are used for homology modeling but the Swiss Model provides the most accurate results. Ab-initio prediction will be explained in upcoming articles.


  1. Waterhouse, A., Bertoni, M., Bienert, S., Studer, G., Tauriello, G., Gumienny, R., … & Lepore, R. (2018). SWISS-MODEL: homology modelling of protein structures and complexes. Nucleic acids research46(W1), W296-W303.
Muniba is a Bioinformatician based in the South China University of Technology. She has cutting edge knowledge of bioinformatics tools, algorithms, and drug designing. When she is not reading she is found enjoying with the family. Know more about Muniba

Leave a Reply

HOW TO CITE THIS ARTICLE Muniba Faiza (2020). Methodology for Homology Modeling of a Simple Protein. Bioinformatics Review, 6 (06)
Virtual screening using Autodock Vina
Previous Story

Video Tutorial: Virtual Screening using Autodock Vina

Next Story

Multiple Sequence Alignment and Phylogenetic Tree construction using ClustalW2 command-line tool

Willing to stay updated?

By investing less than 30 seconds you can start recieving all our new articles in your mailbox. Stay updated with latest Bioinformatics Research, trends and tools of trade.


Lost your password? Please enter your email address. You will receive mail with link to set new password.

0 $0.00