An Approach for Predicting Structure and Ligand Interaction as Well as Comparing Five Species of Homo Family Blood Protein Sequences Using MSA Technique

Abstract

We introduce a model for protein structuring as well as multiple sequence alignment (MSA) technique. In the field of bioinformatics, we are dealing with protein 3^0 structure modelling to identify the sequence variation in five types of homo family blood protein. Our tool is to predict the 3^0 structure of blood protein in 3D structure representation. In our work, we select blood proteins which contain three components: albumin, globulin, fibrinogen and three sets of sequence of each component for comparative analysis using MSA technique. In comparison, we find the match, mismatch and gap from that result and calculate the efficiency. Here, we are using a sequence alignment algorithm to compare five different homo species blood proteins. In this work, we combine sequence alignment algorithm and 3D structure prediction which interacts with the ligand.