DocumentCode :
2091924
Title :
Molecular Modeling and Structure Analysis of S100 Calcium Binding Protein A14: Molecular Modeling and Structure Analysis of S100A14
Author :
Zhou, Taimei ; Zheng, Xueying ; Yi, Deqing ; Zhang, Qingying
Author_Institution :
Med. Coll., Dept. of Preventive Med., Shantou Univ., Shantou, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
4
Abstract :
S100 calcium binding protein A14 (S100A14), a new member of S100 calcium binding protein, has been rarely studied and its structure and function are still unclear. In this study, a credible model of human S100A14 (residues 12-102) was built based on the molecular structure of human S100A13 (Swiss-rot Q99584, PDB ID:1YUR A). Protein sequence alignment showed some mutations in Ca2+-binding domain in the C-terminal, which suggested the C-terminal might not be able to bind Ca2+. While most of the Cu2+/ Zn2+ binding sites of S100 protein family were conserved in S100A14, strongly suggesting its binding affinity to Cu2+ and Zn2+. Compare to S100A13, the secondary structure showed there was a longer extension in the helix I and helix IV of S100A14. An unique site Trp (S100A13: W77), reported to play an important role in the interaction between S100A13 and cytoplasmic membrane, was also exist in S100A14 (W85), which suggested S100A13 and S100A14 might have common biological function. Though the monomer structures of S100A13 and S100A14 were quite similar, the strong difference between their C-terminals indicated S100A14 might have its functional uniqueness since the functional specificity of S100 proteins mainly attributes to the C-terminal sequence variation.
Keywords :
molecular configurations; proteins; proteomics; C terminal Ca2+ binding domain; Cu2+ binding sites; S100 calcium binding protein; S100A14 helix IV; S100A14 molecular modeling; S100A14 structure analysis; Zn2+ binding sites; cytoplasmic membrane; human S100A13 molecular structure; human S100A14; protein residues; protein sequence alignment; Biological cells; Biological information theory; Biological system modeling; Biomembranes; Calcium; Genetic mutations; Humans; Neoplasms; Predictive models; Protein sequence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4132-7
Electronic_ISBN :
978-1-4244-4134-1
Type :
conf
DOI :
10.1109/BMEI.2009.5301740
Filename :
5301740
Link To Document :
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