Metal-Binding Affinity and Selectivity of Nonstandard Natural Amino Acid Residues from DFT/CDM Calculations

被引:25
作者
Dudev, Todor [1 ]
Lim, Carmay [1 ,2 ]
机构
[1] Acad Sinica, Inst Biomed Sci, Taipei 115, Taiwan
[2] Natl Tsing Hua Univ, Dept Chem, Hsinchu 300, Taiwan
关键词
GAMMA-CARBOXYGLUTAMATE; ZN-BINDING; METALLOPROTEINS; PROTEIN; CALCIUM; DESIGN; ZINC; SELENOCYSTEINE; MAGNESIUM; SITES;
D O I
10.1021/jp904249s
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Unnatural amino acid residues are increasingly being used in metalloprotein design and engineering to expand the repertoire of protein structures/folds and functions. However, natural but nonstandard amino acid residues (not in the basic set of 20) possessing metal-ligating groups such as selenocysteine (See), pyrrolysine (Pyl), and gamma-carboxyglutamic acid (Gla) have attracted little attention, and their potential as metal-binding entities in metalloprotein engineering has not been assessed. In particular, the metal-binding affinity/selectivity of these three rare residues remains unclear. Herein, the metal-binding affinity/selectivity of the Gla, Pyl, and See side chains have been systematically studied using a combined density functional theory and continuum dielectric method. The calculations reveal an advantage of using these noncanonical protein building blocks instead of the standard 20 amino acid residues, Gla(2-), Pyl(0), and Sec(-) have greater potential in trapping the metal cation than their standard amino acid counterparts. They prefer binding to Zn2+ rather than to Mg2+ or Ca2+ in a protein cavity due to the better electron-accepting ability and lower coordination number preference of Zn2+, as compared to Mg2+ and Ca2+. Between Ca2+. and Mg2+, Gla(2)- prefers Ca2+, whereas Pyl(0) and Sec(-) poorly discriminate between the two metal cations. The results herein Suggest that Gla(2-), Pyl(0) and Sec(-) could be employed as very efficient metal-binding entities in engineering metalloproteins with preprogrammed properties.
引用
收藏
页码:11754 / 11764
页数:11
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