Cell-PLoc 2.0 an improved package of web-servers for predicting subcellular localization of proteins in various organisms英文文献资料.docVIP Vol.2, No.10, 1090-1103 (2010) Natural Science /10.4236/ns.2010. Cell-PLoc 2.0: an improved package of web-servers for predicting subcellular localization of proteins in various organisms Kuo-Chen Chou , Hong-Bin Shen 1,2 1,2 1 2 Gordon Life Science Institute, 13784 Torrey Del Mar Drive, San Diego, CA 92130, USA; kcchou@ Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai, , China; hbshen@ Received 5 August 2010; revised 8 September 2010; accepted 12 September 2010. ABSTRACT most important attributes. It can provide useful insight about the function of the protein. It is also fundamental to system biology because knowledge of the subcellu- lar locations of proteins is indispensable for in-depth understanding how the biological processes are regu- lated by the intricate pathways at the cellular level [1,2]. Particularly, the information of protein subcel- lular location is very useful for identifying and priori- tizing drug targets [3] during the process of drug de- velopment. Given an uncharacterized protein sequence, how can we identify which subcellular location site it resides at? Does the protein stay in a single subcellular location or can it simultaneously exist in, or move between, two and more subcellular location sites? Although the answers to these questions can be determined by means of various biochemical experiments, it is time-consuming and labo- rious to acquire the desired information with experimen- tal methods alone. Particularly, in the post-genomic age, the number of newly found protein sequences has in- creased explosively. For instance, in 1986 the Swiss-Prot databank contained merely 3,939 protein sequence en- tries, but the number has since jumped to 519,348 ac- cording to the data released by the same databank on 10- Aug-2010 (/sp
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