The mythical metal – insights on the accuracy of metal identification in structural biology

Edward H. Snell, E. Garman, Geoff W. Grime, Aina E. Cohen, Sarah E. J. Bowman
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Abstract

The Protein Data Bank (PDB) contains information on more than 200,000 proteins. Some 25 - 50% of all proteins contain one or more metals or metal co-factors playing a key structural or catalytic role. Metalloproteins can be difficult targets for structural studies because the specific metals required for enzymatic activity are not always those with the highest binding affinity. To incorporate uncompetitive metals into an enzyme active site, cells have evolved sophisticated machinery, including metal transporters and chaperones, which are often bypassed during protein production in the laboratory. The problem of metal promiscuity is compounded by the difficulty of accurately identifying incorporated metals. In many cases, the small sample volumes available confound the issue. Using
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神秘的金属--对结构生物学中金属识别准确性的见解
蛋白质数据库(PDB)包含 20 多万种蛋白质的信息。所有蛋白质中约有 25-50% 含有一种或多种金属或金属辅助因子,它们在结构上或催化作用上发挥着关键作用。由于酶活性所需的特定金属并不总是那些具有最高结合力的金属,因此金属蛋白可能成为结构研究的困难目标。为了将非竞争性金属纳入酶的活性位点,细胞进化出了复杂的机制,包括金属转运体和伴侣蛋白,而这些机制在实验室生产蛋白质时往往被绕过。金属杂交的问题因难以准确识别加入的金属而变得更加复杂。在许多情况下,由于样品量较少,问题更加复杂。使用
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