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基于序列的T细胞表位预测的现状与挑战

State of the art and challenges in sequence based T-cell epitope prediction.

作者信息

Lundegaard Claus, Hoof Ilka, Lund Ole, Nielsen Morten

机构信息

The Technical University of Denmark - DTU, Dept, of Systems Biology, Center for Biological Sequence Analysis - CBS, Kemitorvet 208, DK-2800 Kgs, Lyngby, Denmark.

出版信息

Immunome Res. 2010 Nov 3;6 Suppl 2(Suppl 2):S3. doi: 10.1186/1745-7580-6-S2-S3.

Abstract

Sequence based T-cell epitope predictions have improved immensely in the last decade. From predictions of peptide binding to major histocompatibility complex molecules with moderate accuracy, limited allele coverage, and no good estimates of the other events in the antigen-processing pathway, the field has evolved significantly. Methods have now been developed that produce highly accurate binding predictions for many alleles and integrate both proteasomal cleavage and transport events. Moreover have so-called pan-specific methods been developed, which allow for prediction of peptide binding to MHC alleles characterized by limited or no peptide binding data. Most of the developed methods are publicly available, and have proven to be very useful as a shortcut in epitope discovery. Here, we will go through some of the history of sequence-based predictions of helper as well as cytotoxic T cell epitopes. We will focus on some of the most accurate methods and their basic background.

摘要

在过去十年中,基于序列的T细胞表位预测有了巨大改进。从对肽与主要组织相容性复合体分子结合的预测,其准确性一般、等位基因覆盖有限,且对抗原加工途径中的其他事件没有良好估计,该领域已取得显著进展。现在已开发出一些方法,可对许多等位基因进行高度准确的结合预测,并整合蛋白酶体切割和转运事件。此外,还开发了所谓的泛特异性方法,可用于预测肽与以有限或无肽结合数据为特征的MHC等位基因的结合。大多数已开发的方法都是公开可用的,并且已被证明作为表位发现的捷径非常有用。在这里,我们将回顾辅助性以及细胞毒性T细胞表位基于序列预测的一些历史。我们将重点关注一些最准确的方法及其基本背景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e39b/2981877/bc89b52ff743/1745-7580-6-S2-S3-1.jpg

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