caa a22 4500 463185781 CHVBK 20180406164852.0 cr unu---uuuuu 170326e20070501xx s 000 0 eng 10.1007/s00726-006-0466-z doi (NATIONALLICENCE)springer-10.1007/s00726-006-0466-z Predicting secretory protein signal sequence cleavage sites by fusing the marks of global alignments [Elektronische Daten] [D.-Q. Liu, H. Liu, H.-B. Shen, J. Yang, K.-C. Chou] Summary.: A newly synthesized secretory protein in cells bears a special sequence, called signal peptide or sequence, which plays the role of "address tag” in guiding the protein to wherever it is needed. Such a unique function of signal sequences has stimulated novel strategies for drug design or reprogramming cells for gene therapy. To realize these new ideas and plans, however, it is important to develop an automated method for fast and accurately identifying the signal sequences or their cleavage sites. In this paper, a new method is developed for predicting the signal sequence of a query secretory protein by fusing the results from a series of global alignments through a voting system. The very high success rates thus obtained suggest that the novel approach is very promising, and that the new method may become a useful vehicle in identifying signal sequence, or at least serve as a complementary tool to the existing algorithms of this field. Springer-Verlag, 2006 Keywords: Signal peptide - Cleavage site - Global alignment - Needleman-Wunsch algorithm - Secretory protein nationallicence Liu D.-Q Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China aut Liu H. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China aut Shen H.-B Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China aut Yang J. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China aut Chou K.-C Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China aut Amino Acids Springer-Verlag 32/4(2007-05-01), 493-496 0939-4451 32:4<493 2007 32 726 https://doi.org/10.1007/s00726-006-0466-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00726-006-0466-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu D.-Q Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China aut NATIONALLICENCE 700 1- Liu H. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China aut NATIONALLICENCE 700 1- Shen H.-B Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China aut NATIONALLICENCE 700 1- Yang J. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China aut NATIONALLICENCE 700 1- Chou K.-C Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China aut NATIONALLICENCE 773 0- Amino Acids Springer-Verlag 32/4(2007-05-01), 493-496 0939-4451 32:4<493 2007 32 726 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer