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MimoPro:一种更有效的基于 Web 的噬菌体展示文库表位预测工具。

MimoPro: a more efficient Web-based tool for epitope prediction using phage display libraries.

机构信息

School of Computer Science and Information Technology, Northeast Normal University, Changchun 130024, P.R. China.

出版信息

BMC Bioinformatics. 2011 May 25;12:199. doi: 10.1186/1471-2105-12-199.

Abstract

BACKGROUND

A B-cell epitope is a group of residues on the surface of an antigen which stimulates humoral responses. Locating these epitopes on antigens is important for the purpose of effective vaccine design. In recent years, mapping affinity-selected peptides screened from a random phage display library to the native epitope has become popular in epitope prediction. These peptides, also known as mimotopes, share the similar structure and function with the corresponding native epitopes. Great effort has been made in using this similarity between such mimotopes and native epitopes in prediction, which has resulted in better outcomes than statistics-based methods can. However, it cannot maintain a high degree of satisfaction in various circumstances.

RESULTS

In this study, we propose a new method that maps a group of mimotopes back to a source antigen so as to locate the interacting epitope on the antigen. The core of this method is a searching algorithm that is incorporated with both dynamic programming (DP) and branch and bound (BB) optimization and operated on a series of overlapping patches on the surface of a protein. These patches are then transformed to a number of graphs using an adaptable distance threshold (ADT) regulated by an appropriate compactness factor (CF), a novel parameter proposed in this study. Compared with both Pep-3D-Search and PepSurf, two leading graph-based search tools, on average from the results of 18 test cases, MimoPro, the Web-based implementation of our proposed method, performed better in sensitivity, precision, and Matthews correlation coefficient (MCC) than both did in epitope prediction. In addition, MimoPro is significantly faster than both Pep-3D-Search and PepSurf in processing.

CONCLUSIONS

Our search algorithm designed for processing well constructed graphs using an ADT regulated by CF is more sensitive and significantly faster than other graph-based approaches in epitope prediction. MimoPro is a viable alternative to both PepSurf and Pep-3D-Search for epitope prediction in the same kind, and freely accessible through the MimoPro server located at http://informatics.nenu.edu.cn/MimoPro.

摘要

背景

B 细胞表位是抗原表面刺激体液免疫反应的一组残基。定位这些抗原上的表位对于有效疫苗设计的目的很重要。近年来,通过从随机噬菌体展示文库中筛选出的亲和肽来预测抗原表位的方法越来越流行。这些肽也称为模拟表位,与相应的天然表位具有相似的结构和功能。在预测中,人们已经在很大程度上利用了这些模拟表位与天然表位之间的相似性,从而取得了比基于统计学的方法更好的结果。然而,在各种情况下,它并不能保持高度的满意度。

结果

在这项研究中,我们提出了一种新的方法,将一组模拟表位映射回源抗原,以便定位抗原上的相互作用表位。该方法的核心是一种搜索算法,该算法结合了动态规划(DP)和分支定界(BB)优化,并在蛋白质表面的一系列重叠补丁上运行。然后,使用一个新的距离阈值(ADT)和一个适当的紧凑性因子(CF)将这些补丁转换为多个图形,CF 是本研究中提出的一个新参数。与 Pep-3D-Search 和 PepSurf 这两种领先的基于图形的搜索工具相比,在 18 个测试案例的结果中,MimoPro(我们提出的方法的基于 Web 的实现)的平均敏感性、精度和 Matthews 相关系数(MCC)都优于两者。此外,MimoPro 在处理速度上明显快于 Pep-3D-Search 和 PepSurf。

结论

我们设计的搜索算法用于处理使用 CF 调节的 ADT 的图形,与其他基于图形的方法相比,在预测表位时更敏感,速度也明显更快。MimoPro 是 PepSurf 和 Pep-3D-Search 的一种可行替代品,用于相同类型的表位预测,并且可以通过位于 http://informatics.nenu.edu.cn/MimoPro 的 MimoPro 服务器免费访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9652/3124435/17a10e2a792e/1471-2105-12-199-1.jpg

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