Open AccessProtein Secondary Structure Prediction
Author(s) -
B V Priyanka,
K T Rachitha,
N Sanchitha,
H S Srinidhi,
S P Pavankumar,
N Shashank
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i7775.078919
Subject(s) - protein secondary structure , protein tertiary structure , amino acid , hydrogen bond , protein structure prediction , computer science , protein structure , computational biology , chemistry , biological system , molecule , biology , biochemistry , organic chemistry
Proteins are made up of basic units called amino acids which are held together by bonds namely hydrogen and ionic bond. The way in which the amino acids are sequenced has been categorized into two dimensional and three dimensional structures. The main advantage of predicting secondary structure is to produce tertiary structure likelihoods that are in great demand for continuous detection of proteins. This paper reviews the different methods adopted for predicting the protein secondary structure and provides a comparative analysis of accuracies obtained from various input datasets [1].