Bioinformatic Analysis of NLS (Nuclear Localization Signals)-containing Proteins from Mollusks
Yong Seok Lee, Se Won Kang, Yong-Hun Jo, Heui-Chul Gwak, Sung-Hwa Chae, Sang-Haeng Choi, In-Young Ahn, Hong-Seog Park, Yeon Soo Han and Weon-Gyu Kho
Department of Agricultural Biology, Chonnam National University, Gwangju 500-757, Korea
Subcellular localization of a protein containing nuclear localization signals (NLS) has been well studied in many organisms ranging from invertebrates to vertebrates. However, no systematic analysis of NLS-containing proteins available from Mollusks has been reported. Here, we describe in silico screening of NLS-containing proteins using the mollusks database that contains 22,138 amino acids. To screen putative proteins with NLS-motif, we used both predict NLS and perl script-x. As a result, we have found 266 proteins containing NLS sequences which are about 1.2% out of the entire proteins. On the basis of KOG (The eukaryotic orthologous groups) analysis, we can't predict the precise functions of the NLS-containing proteins. However, we found out that these proteins belong to several types of proteins such as chromatin structure and dynamics, translation, ribosomal structure, biogenesis, and signal transduction mechanism. In addition, we have analysed these sequences based on the classes of mollusks. We could not find many from the species that are the main subjects of phylogenetic studies. In contrast, we noticed that cephalopods has the highest number of NLS-containing proteins. Thus, we have constructed mollusks NLS database and added these information and data to the mollusks database by constructing web interface. Taken together, these information will be very useful for those who are or will be studying NLS-containing proteins from mollusks.
  
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