Prediction of transition metal-binding sites from apo protein structures

被引:106
作者
Babor, Mariana [1 ]
Gerzon, Sergey [1 ]
Raveh, Barak [2 ,3 ]
Sobolev, Vladimir [1 ]
Edelman, Marvin [1 ]
机构
[1] Weizmann Inst Sci, Dept Plant Sci, IL-76100 Rehovot, Israel
[2] Weizmann Inst Sci, Dept Biol Chem, IL-76100 Rehovot, Israel
[3] Weizmann Inst Sci, Dept Comp Sci & Appl Math, IL-76100 Rehovot, Israel
关键词
structural bioinformatics; structural genomics; molecular modeling; structure prediction; protein function;
D O I
10.1002/prot.21587
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Metal ions are crucial for protein function. They participate in enzyme catalysis play regulatory roles, and help maintain protein structure. Current tools for predicting metal-protein interactions are based on proteins crystallized with their metal ions present (holo forms). However, a majoi of resolved structures are free of metal ions (apo forms). Moreover, metal binding is a dynamic process often involving conformational rearrangement of the binding pocket. Thus, effective predictions need to be based on the structure Of the apo state. Here. we report an approach that identifies transition metal-binding sites in apo forms with a resulting selectivity >95%. Applying the approach to apo forms in the Protein Data Bank and structural genomics initiative identifies a large number of previously unknown, putative metal-binding sites, and their amino acid residues, in some cases providing a first clue to the function of the protein.
引用
收藏
页码:208 / 217
页数:10
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