'Signature sets', minimal fragment sets for identifying protein disulfide structures with cyanylation-based mass mapping methodology.
'Signature sets', minimal fragment sets for identifying protein disulfide structures with cyanylation-based mass mapping methodology.
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DOI：
10.1021/pr049961t
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发表时间：
2004-07
影响因子：
4.4
通讯作者：
Wei Wu;Wei Huang;Jianfeng Qi;Yi‐Te Chou;E. Torng;J. Watson
中科院分区：
文献类型：
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作者：
Wei Wu;Wei Huang;Jianfeng Qi;Yi‐Te Chou;E. Torng;J. Watson
我们的基于氰基化（CN）的方法用于测定胱氨酸蛋白的二硫结构，克服了传统蛋白水解方法的局限性。然而，基于神经网络的方法有潜在的缺点，即有时可能无法检测到一些神经网络诱导的裂解片段。我们证明了基于神经网络的方法可以通过证明片段的小“签名集”的存在来克服检测片段的失败。通过两个案例研究验证了签名集与基于神经网络的方法的鲁棒性之间的联系。
Our cyanylation (CN)-based methodology for determining disulfide structure of cystinyl proteins overcomes the limitations of conventional proteolytic methods. However, the CN-based method has the potential drawback that occasionally some CN-induced cleavage fragments may not be detected. We show that CN-based methods can overcome the failure to detect fragments by demonstrating the existence of small 'signature sets' of fragments. The link between signature sets and the robustness of CN-based methodology is validated by two case studies.