Institute of Bioengineering and Nanotechnology, 31 Biopolis Way, The Nanos, Singapore 138669.
Anal Chem. 2010 Jan 15;82(2):672-9. doi: 10.1021/ac902195y.
Combinatorial one-bead-one-compound (OBOC) peptide libraries are widely used for affinity screening, and the sequencing of peptides from hit beads is a key step in the process. For rapid sequencing, CNBr cleavage of the peptides from the beads, followed by de novo sequencing by MALDI-TOF/TOF, is explored. We report on a semiautomated sequencing algorithm and validate it through comparison against Edman degradation sequencing. The initial 44% sequencing success rate of the standard de novo sequencing software was improved to nearly 100%. The sequencing algorithm incorporates existing knowledge of amino acid chemistry and a new strategy for differentiating isobaric amino acids. We tested the algorithm by using MALDI-TOF/TOF to identify a peptide biligand affinity agent against the protein bovine carbonic anhydrase II, starting from comprehensive one-bead-one-compound peptide libraries comprised of non-natural and artificial amino acid components and using the strategy of in situ click/OBOC library screening.
组合式单珠单化合物(OBOC)肽库被广泛用于亲和筛选,而从命中珠上的肽序列中获取肽是该过程的关键步骤。为了实现快速测序,我们探索了从珠上的肽进行 CNBr 切割,然后通过 MALDI-TOF/TOF 从头测序。我们报告了一种半自动测序算法,并通过与 Edman 降解测序进行比较对其进行了验证。标准从头测序软件最初 44%的测序成功率提高到了近 100%。该测序算法结合了氨基酸化学的现有知识和一种新的区分等摩尔氨基酸的策略。我们通过使用 MALDI-TOF/TOF 从由非天然和人工氨基酸组成的综合单珠单化合物肽库中针对蛋白质牛碳酸酐酶 II 识别肽双配体亲和剂来测试该算法,并使用原位点击/OBOC 库筛选策略。