Structural evaluation and insilico study of proteins of asterias rubens - 'starfish as new source to marine proteins'

Autor: Vidya M, Nirubama K, Rubalakshmi G, Prabhakaran S, Mehanathan A
Rok vydání: 2020
Předmět:
Zdroj: Kongunadu Research Journal. 7:19-27
ISSN: 2349-2694
DOI: 10.26524/krj.2020.4
Popis: Marine sources have received great attention recently; research on marine-derived molecules has discovered new bioactive compounds with vital properties increasing their applicability as nutraceuticals in the food and supplement industries. Most notably Hippocrates, the “father of modern medicine”, is recordedas describing the therapeutic effects of various marine invertebrates and their constituents on human health.Astreias is an important marine of the family Asteriidae known for its variety of medicinal properties. Functional characterization of a protein sequence is one of the most frequent problems in biology. This task is usually facilitated by accurate three-dimensional (3-D) structure of the protein. The number of protein sequences that can be modeled, as well as the accuracy of the prediction, is increasing steadily because of the growth and number of known protein sequences and structures as well as improvements in the modeling software. It is currently possible to model, with useful accuracy. Significant parts of approximately one half of all known protein sequences. This research report deliver an innovative summary of bioinformatics study of Asterias rubens with emphasis on the current development and future directions, which shall provide tools and resources necessary to understand and uphold advances in this important field. The aim of the present study, 10 proteins of Asterias rubens were analysed using bioinformatics tools. Structural prediction and functional characterization of proteins of Asterias rubens were done using Expasy Protparm server, 3D structure was done using SWISS MODEL. The important enzymes present in Asterias rubens involved Reproductive function and proper growth and development of human body.
Databáze: OpenAIRE