Abstract : Proteins are vital components of all living cells and play a critical role in almost all biological processes. Protein structure identification is a significant challenging problem in computational biology. The Protein 's three-dimensional molecular structure (i.e., tertiary structure) reflects its proper function. Therefore, the identification of protein structure is a significant step towards understanding the protein 's function which is an important task to treat diseases, synthesize new drugs, and vaccine design; since some diseases are shown to result from malfunctioning of proteins.
In this paper, we propose a new technique that is called Protein Tertiary Structure Prediction using Genetic Algorithm (PTSPGA) to predict the …show more content…
Whereas proteins functions cannot be understood without determining their three-dimensional structure.
Protein structure prediction problem is one of the major challenges in bioinformatics and molecular biology[2]. The classical techniques for structure prediction of proteins are X-ray crystallography[43], [44] and Nuclear Magnetic Resonance (NMR) [45], [46]. But, these methods are expensive, time-consuming, and laborious, where computational methods are capable of reducing the cost, time, and saving the development resources. In recent years, the expanding scope of the practical knowledge and the improvement of intelligent methodologies have resulted in the expansion of computational …show more content…
This technique called Protein Tertiary Structure Prediction using Genetic Algorithm (PTSPGA). We use the Empirical Conformational Energy Program for Peptides (ECEPP/3) [8] as an objective function, while the protein’s energy was calculated using the Simple Molecular Mechanics for Proteins (SMMP) package [9]. Experiments were performed on the Met-enkephalin protein and some other proteins. The experimental results indicate that the PTSPGA is reliable and very accurate in predicting the protein tertiary
In this paper, we propose a new technique that is called Protein Tertiary Structure Prediction using Genetic Algorithm (PTSPGA) to predict the …show more content…
Whereas proteins functions cannot be understood without determining their three-dimensional structure.
Protein structure prediction problem is one of the major challenges in bioinformatics and molecular biology[2]. The classical techniques for structure prediction of proteins are X-ray crystallography[43], [44] and Nuclear Magnetic Resonance (NMR) [45], [46]. But, these methods are expensive, time-consuming, and laborious, where computational methods are capable of reducing the cost, time, and saving the development resources. In recent years, the expanding scope of the practical knowledge and the improvement of intelligent methodologies have resulted in the expansion of computational …show more content…
This technique called Protein Tertiary Structure Prediction using Genetic Algorithm (PTSPGA). We use the Empirical Conformational Energy Program for Peptides (ECEPP/3) [8] as an objective function, while the protein’s energy was calculated using the Simple Molecular Mechanics for Proteins (SMMP) package [9]. Experiments were performed on the Met-enkephalin protein and some other proteins. The experimental results indicate that the PTSPGA is reliable and very accurate in predicting the protein tertiary