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Proteins are responsible for all biological activities in living organisms. Thanks to genome sequencing projects, large amounts of DNA and protein sequence data are now available, but the biological functions of many proteins are still not annotated in most cases. The unknown function of such non-annotated proteins may be inferred or deduced from their neighbors in a protein interaction network. In this paper, we propose two new methods to predict protein functions based on network neighborhood properties. FunPred 1.1 uses a combination of three simple-yet-effective scoring techniques: the neighborhood ratio, the protein path connectivity and the relative functional similarity. FunPred 1.2 applies a heuristic approach using the edge clustering coefficient to reduce the search space by identifying densely connected neighborhood regions. The overall accuracy achieved in FunPred 1.2 over 8 functional groups involving hetero-interactions in 650 yeast proteins is around 87%, which is higher than the accuracy with FunPred 1.1. It is also higher than the accuracy of many of the state-of-the-art protein function prediction methods described in the literature. The test datasets and the complete source code of the developed software are now freely available at http://code.google.com/p/cmaterbioinfo/.
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A short review on proteomics and its applications

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Proteomics is the large scale of study of proteins, particularly their function and structure. Proteomics is an excellent approach for studying changes in metabolism in response to different stress conditions. In the present review focused on different types of techniques for the analysis of expressed proteins. The techniques includes 2-D gel electrophoresis, MALDI-TOF/MS etc., play a vital role for the analysis of novel proteins and their role in disease maintenance and treatment. The review also concentrated on applicative perspective of proteomics in the fields of biomedical, agriculture and food.
Cytochrome b is the central catalytic subunit of the quinol : cytochrome c oxidoreductase of complex III of the mitochondrial oxidative phosphorylation system and is essential to the viability of most eukaryotic cells. Partial cytochrome b gene sequences of 14 species representing mammals, birds, reptiles and amphibians are presented here including some species typical for Poland. For the analysed species a comparative analysis of the natural variation in the gene was performed. This infor­mation has been used to discuss some aspects of gene sequence — protein function relationships. Review of relevant literature indicates that similar comparisons have been made only for basic mammalian species. Moreover, there is little information about the Polish-specific species. We observed that there is a strong non-random dis­tribution of nucleotides in the cytochrome b sequence in all tested species with the highest differences at the third codon position. This is also the codon position of the strongest compositional bias. Some tested species, representing distant systematic groups, showed unique base composition differing from the others. The quail, frog, python and elk prefer C over A in the light DNA strand. Species belonging to the ar- tiodactyls stand out from the remaining ones and contain fewer pyrimidines. The ob­served overall rate of amino acid identity is about 61%. The region covering Qo cen­ter as well as histidines 82 and 96 (heme ligands) are totally conserved in all tested species. Additionally, the applied method and the sequences can also be used for di­agnostic species identification by veterinary and conservation agencies.
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