Lin H-J, Kodadek T
Center for Biomedical Inventions, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390-8573, USA.
J Pept Res. 2005 Feb;65(2):221-8. doi: 10.1111/j.1399-3011.2005.00227.x.
The isolation of protein-binding synthetic molecules from combinatorial libraries or compound collections is now a common practice in chemical biology. An important, but underdeveloped, aspect of characterizing the binding properties of such molecules is their level of binding specificity. This is often evaluated by simply measuring the equilibrium binding affinity of the compound of interest with its target protein and comparing this value with its affinity to one or a few other purified proteins selected at random. These measurements may not reflect accurately the ability of the compound to seek out its target in a complex mixture of proteins such as a cell extract or serum. A more desirable alternative would be to develop solution assays that measure directly the binding of the molecule of interest to both target and competitor proteins in complex solutions. In this report, we evaluate a rapid and efficient photo-triggered cross-linking reaction for assessing binding specificity of synthetic molecules in protein mixtures. Using peptide-protein complexes, we demonstrate that this reaction provides an unbiased view of the peptide-protein contacts present in solution under a given set of conditions and thus is useful for assessing binding specificity. We also discuss the potential application of this chemistry to the related, but more difficult, problem of the identification of protein targets of bioactive molecules.
从组合文库或化合物库中分离蛋白质结合合成分子如今在化学生物学中已成为一种常见做法。表征此类分子结合特性的一个重要但尚未充分发展的方面是它们的结合特异性水平。通常通过简单测量目标化合物与其靶蛋白的平衡结合亲和力,并将该值与其对随机选择的一种或几种其他纯化蛋白的亲和力进行比较来评估这一点。这些测量可能无法准确反映化合物在诸如细胞提取物或血清等复杂蛋白质混合物中寻找其靶标的能力。一种更理想的替代方法是开发溶液分析方法,直接测量感兴趣的分子在复杂溶液中与靶蛋白和竞争蛋白的结合。在本报告中,我们评估了一种快速高效的光触发交联反应,用于评估蛋白质混合物中合成分子的结合特异性。使用肽 - 蛋白质复合物,我们证明该反应能在给定条件下提供溶液中肽 - 蛋白质接触的无偏视图,因此可用于评估结合特异性。我们还讨论了这种化学方法在生物活性分子蛋白质靶标鉴定这一相关但更具挑战性问题上的潜在应用。