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首页> 外文期刊>Bulletin of experimental biology and medicine >Prediction of Epitopes in Closely Related Proteins Using a New Algorithm
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Prediction of Epitopes in Closely Related Proteins Using a New Algorithm

机译:使用新算法预测紧密相关蛋白质中的表位

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摘要

Latrophilin 1 (presynaptic receptor) binds alpha-latrotoxin from black widow spider venom and regulates neurotransmitter release from nerve endings. The study of the mechanism of action of this receptor is impeded by the existence of closely related latrophilins 2 and 3. A profile of differences detecting the most differing and identical sites in several proteins was developed in order to obtain highly specific antibodies for differentiation between isoforms of related proteins. In addition, we used an algorithm for prediction of immunogenic sites of the protein, based on the basic vector method. The peptides selected using this algorithm were used for immunization of animals. The resultant sera exhibited the estimated specificity and high affinity for the corresponding receptor forms.
机译:Latrophilin 1(突触前受体)与黑寡妇蜘蛛毒液中的α-latrotoxin结合并调节神经末梢的神经递质释放。紧密相关的拉特罗蛋白2和3的存在阻碍了对该受体作用机理的研究。为了获得用于区分同工型的高度特异性的抗体,开发了一种差异图谱,用于检测几种蛋白质中最不同和相同的位点。相关蛋白质。此外,基于基本载体方法,我们使用了一种算法来预测蛋白质的免疫原性位点。使用该算法选择的肽用于动物免疫。所得血清显示出对相应受体形式的估计特异性和高亲和力。

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