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A set of protein pairs predicted to be interacting with high ratio of true positive is valuable for target selection in experiments like protein structure determination. Our goal in this paper is to investigate the problem of finding such a set of protein pairs in an organism by machine learning methods. Yeast genome was taken for this study and support vector machine was adopted as the classification...
To infer protein function by matching local surface patterns, an effective scoring matrix for evaluating surface similarity is critical. In this study, we develop an evolution model of binding surfaces using a continuous time Markov process. We develop a Bayesian Markov chain Monte Carlo method to estimate the substitution rates of amino acid residues with specialized move sets. We then develop scoring...
Protein sequence alignments reveal the evolutionary information between homologous sequences. Traditional sequence alignment methods only use sequence information and the structure information from template is ignored. Recently, Kleinjung et al. developed a contact-based sequence alignment method that used the structural information from side-chain contacts. Alignment scores are provided by the CAO...
The influence of low-frequency electromagnetic field irradiating by high-voltage transmission lines on signal transduction of cell in spleen cells of the rates have been studied by molecular-biology techniques. The spleen cells are extracted from skilled rates, which are exposed in the electromagnetic field of high-voltage transmission lines with 4000 V/m and 0.09-0.1 G about 400 days. The quantity...
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