Insilico Analysis of RHES Protein for Huntington's Disease

Abstract

There are numerous subfields within tree science, including biotechnology, zoology, and botany. One of the newest developments in science is the discipline of bioinformatics, which is one of the fields that is booming right now. The multidisciplinary field of bioinformatics creates and enhances techniques for biological data storage, analysis, and interpretation. It solves biological problems, typically at the molecular level, by combining biology, computer science, microbiology, mathematics, statistics, and biochemistry. There are several uses for bioinformatics, including drug design, sequence alignment, gene expression detection, and gene discovery. Modelling is one of the main fields in which bioinformatics is applied. In the scientific field of computational biology, biological data is utilised to create algorithms. In order to better understand biology and the relationships between macromolecules, it also entails the development of mathematical modelling and computational simulation techniques.  The mastermind behind the creation of numerous bioinformatics tools is the computational biologist. They created a number of algorithms for the development of software and tools. There are currently over 2,300,000 sequences available. However, its structure isn't accessible. With only 79000 structures now accessible, it is evident that predicting protein structures is a challenging task.  A variety of techniques, including homology modelling, threading, and abinitio structure prediction, are available for predicting protein structures. However, determining which approach is more accurate for predicting structure is extremely challenging, even if there are several modelling tools available, like Phyre, Swiss model, and I-tasser. The goal of this study is to predict a novel protein structure and then use the server ProQ to assess the tool's quality.