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With a peak speed of 280.6 TFlops/s IBM BlueGene/L cluster putting into use, high-performance computers are faced with the rapid development and dual-core processor computers allow users to face the emergence of ubiquitous parallel. How to change existing serial algorithms into parallel algorithms and how to implement parallel algorithms on multi-core computer are urgent task for the development of...
Protein identification using mass spectrometry is a critical step in many areas of the life sciences, and in proteomics in particular. To confirm the presence of a protein in a sample, at least one of the constituent peptides from that protein must be matched to a theoretical peptide sequence. The prediction of a fragmentation spectrum from a theoretical sequence so that it can be compared to an observed...
Predicting the structure of a protein from primary sequence is one of the challenging problems in Molecular biology. In this context, protein structural class information provides a key idea of their structure and also other features related to the biological function. In this paper we present a new optimization approach based on Genetic algorithm (GA) and artificial immune system (AIS) for predicting...
Ribonucleic acid (RNA) has important structural and functional roles in the cell and plays roles in many stages of protein synthesis. The structure of RNA largely determines its function. Current physical methods for structure determination are time-consuming and expensive, thus the methods for the computational prediction of structure are necessary. Various algorithms that have been used for RNA...
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...
Based on neural network, an improvement scheme that iterative matrix replace secondary derivative has been developed by introduced quasi-Newton algorithm. Profile code based on probability has been used and comparison of window width and learning training has been completed. The experiment results indicate that the prediction for secondary structures of protein obtain a very good effect based on neural...
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