β-lactoglobulin (β-Lg) is a major food allergen, there is an urgent need to develop a rapid method for detecting β-Lg in order to avoid contact or ingestion by allergic patients. Peptide aptamers have high affinity, specificity, and stability, and have broad prospects in the field of rapid detection. Using β-Lg as the target, this study screened 11 peptides (P1–11) from a phage display library. Using molecular docking technology to predict binding energy and binding mode of proteins and peptides. Select the peptides with the best binding ability to β-Lg (P5, P7, P8) through ELISA. Combining them with whey protein, casein, and bovine serum protein, it was found that P7 has the best specificity for β-Lg, with an inhibition rate of 87.99%. Verified by molecular dynamics that P7 binds well with β-Lg. Therefore, this peptide can be used for the recognition of β-Lg, becoming a new recognition element for detecting β-Lg.

中文翻译：

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利用噬菌体展示技术筛选β-乳球蛋白特异性结合肽

β-乳球蛋白（β-Lg）是一种主要的食物过敏原，迫切需要开发一种快速检测β-Lg的方法，以避免过敏患者接触或摄入。肽适配体具有高亲和力、特异性和稳定性，在快速检测领域具有广阔的前景。本研究以 β-Lg 为靶标，从噬菌体展示库中筛选出 11 种肽（P1-11）。利用分子对接技术预测蛋白质和肽的结合能和结合模式。通过ELISA选择与β-Lg（P5、P7、P8）结合能力最好的肽。将它们与乳清蛋白、酪蛋白、牛血清蛋白结合发现，P7对β-Lg的特异性最好，抑制率为87.99%。通过分子动力学验证，P7与β-Lg结合良好。因此，该肽可用于β-Lg的识别，成为检测β-Lg的新识别元件。