Mayrose Itay, Penn Osnat, Erez Elana, Rubinstein Nimrod D, Shlomi Tomer, Freund Natalia Tarnovitski, Bublil Erez M, Ruppin Eytan, Sharan Roded, Gershoni Jonathan M, Martz Eric, Pupko Tal
Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel.
Bioinformatics. 2007 Dec 1;23(23):3244-6. doi: 10.1093/bioinformatics/btm493. Epub 2007 Oct 31.
Identifying the epitope to which an antibody binds is central for many immunological applications such as drug design and vaccine development. The Pepitope server is a web-based tool that aims at predicting discontinuous epitopes based on a set of peptides that were affinity-selected against a monoclonal antibody of interest. The server implements three different algorithms for epitope mapping: PepSurf, Mapitope, and a combination of the two. The rationale behind these algorithms is that the set of peptides mimics the genuine epitope in terms of physicochemical properties and spatial organization. When the three-dimensional (3D) structure of the antigen is known, the information in these peptides can be used to computationally infer the corresponding epitope. A user-friendly web interface and a graphical tool that allows viewing the predicted epitopes were developed. Pepitope can also be applied for inferring other types of protein-protein interactions beyond the immunological context, and as a general tool for aligning linear sequences to a 3D structure.
确定抗体所结合的表位对于许多免疫学应用(如药物设计和疫苗开发)至关重要。Pepitope服务器是一个基于网络的工具,旨在基于一组针对感兴趣的单克隆抗体进行亲和选择的肽段来预测不连续表位。该服务器实现了三种不同的表位映射算法:PepSurf、Mapitope以及两者的组合。这些算法背后的基本原理是,这组肽段在物理化学性质和空间组织方面模拟了真正的表位。当抗原的三维(3D)结构已知时,这些肽段中的信息可用于通过计算推断相应的表位。开发了一个用户友好的网络界面和一个允许查看预测表位的图形工具。Pepitope还可用于推断免疫背景之外的其他类型的蛋白质-蛋白质相互作用,并作为将线性序列与3D结构进行比对的通用工具。