Nielsen Morten, Marcatili Paolo
Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark.
Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina.
Methods Mol Biol. 2015;1348:23-32. doi: 10.1007/978-1-4939-2999-3_4.
Antibodies recognize their cognate antigens in a precise and effective way. In order to do so, they target regions of the antigenic molecules that have specific features such as large exposed areas, presence of charged or polar atoms, specific secondary structure elements, and lack of similarity to self-proteins. Given the sequence or the structure of a protein of interest, several methods exploit such features to predict the residues that are more likely to be recognized by an immunoglobulin. Here, we present two methods (BepiPred and DiscoTope) to predict linear and discontinuous antibody epitopes from the sequence and/or the three-dimensional structure of a target protein.
抗体以精确且有效的方式识别其同源抗原。为了做到这一点，它们靶向抗原分子中具有特定特征的区域，例如大的暴露区域、带电或极性原子的存在、特定的二级结构元件以及与自身蛋白质缺乏相似性。给定感兴趣蛋白质的序列或结构，有几种方法利用这些特征来预测更有可能被免疫球蛋白识别的残基。在此，我们提出两种方法（BepiPred和DiscoTope），用于从靶蛋白的序列和/或三维结构预测线性和不连续抗体表位。
