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This paper presents a novel priority based data mining algorithm using improved K-means clustering for detecting proteins sequence from dataset of frequent item set. The priorities are set depending on the number of hits (counts) from the dataset concurrently using the concept of multiprocessing. Which dynamically changing for a period of time series, a novel algorithm is used for classification and...
Protein secondary structure prediction is a fundamental and important component in the analytical study of protein structure and functions. Using the pseudo amino acid (PseAA) composition to represent the sample of a protein can incorporate a considerable amount of sequence pattern information so as to improve the prediction quality for its structural or functional classification. In this paper, the...
Memetic algorithm (MA) often perform better than other evolutionary algorithm due to their combining the local search with the process of global optimization. However, like any other evolutionary algorithm (EA), MA due to the problem of genetic drift often result in sub-optimal solutions. The problem is more aggravated when EAs are applied to search complex landscape of NP complete problem like protein...
In this paper, a novel technique, namely SSPT, is introduced to predict the secondary structure (SS) of a protein just based on its primary structure. In the training phase of this technique, a novel training tool (secondary structure triangle) is trained to reflect the tendency of overlapping small amino acid windows of a sequence toward three SS formation of H/E/L. These tendencies are then augmented...
With the increase of data from genome sequencing projects comes the need for reliable and efficient methods for the analysis and classification of protein motifs and domains. Experimental methods currently used to determine protein structure are accurate, yet expensive both in terms of time and equipment. Therefore, various computational approaches to solving the problem have been attempted, although...
Proteins function through interactions with other proteins, compounds, RNA and DNA. Prediction of protein interface sites is the key process for providing clues to the function of a protein, and is becoming increasing relevant to drug discovery. In this paper, combining the protein features with the theory of granular computing of quotient space based on protein-protein interaction sites classification...
The continuous physical-mathematical model of the 3D structures of protein has been obtained by analyzed the 3D structures of biological protein according to the distance and dihedral angle distribution of amino acid residue conforming to Boltzmann theorem. On this foundation, stretches of the B (D) main chain for the bovine insulin have been calculated by application of the improved simulated annealing...
Identifying the function of proteins is one of the major goals in cell biology and proteomics. Protein subcellular localization is a key functional characteristic of proteins and correct prediction of protein subcellular localization will greatly help in understanding its functions. Based on the concept of the pseudo amino acid composition (PseAA) by which a considerable amount of sequence-order effects...
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