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预测 SARS-CoV-2 的表位候选物。

Predicting Epitope Candidates for SARS-CoV-2.

机构信息

AI and Cognitive Software, IBM Almaden Research Center, San Jose, CA 95120, USA.

NSF Center for Cellular Construction, San Francisco, CA 94158, USA.

出版信息

Viruses. 2022 Aug 21;14(8):1837. doi: 10.3390/v14081837.

Abstract

Epitopes are short amino acid sequences that define the antigen signature to which an antibody or T cell receptor binds. In light of the current pandemic, epitope analysis and prediction are paramount to improving serological testing and developing vaccines. In this paper, known epitope sequences from SARS-CoV, SARS-CoV-2, and other Coronaviridae were leveraged to identify additional antigen regions in 62K SARS-CoV-2 genomes. Additionally, we present epitope distribution across SARS-CoV-2 genomes, locate the most commonly found epitopes, and discuss where epitopes are located on proteins and how epitopes can be grouped into classes. The mutation density of different protein regions is presented using a big data approach. It was observed that there are 112 B cell and 279 T cell conserved epitopes between SARS-CoV-2 and SARS-CoV, with more diverse sequences found in Nucleoprotein and Spike glycoprotein.

摘要

表位是短的氨基酸序列,定义了抗体或 T 细胞受体结合的抗原特征。鉴于当前的大流行,表位分析和预测对于改进血清学检测和开发疫苗至关重要。在本文中,利用来自 SARS-CoV、SARS-CoV-2 和其他冠状病毒科的已知表位序列,鉴定了 62K SARS-CoV-2 基因组中的其他抗原区域。此外,我们展示了 SARS-CoV-2 基因组中表位的分布,定位了最常见的表位,并讨论了表位在蛋白质上的位置以及如何将表位分组为不同的类别。使用大数据方法呈现不同蛋白区域的突变密度。观察到 SARS-CoV-2 和 SARS-CoV 之间有 112 个 B 细胞和 279 个 T 细胞保守表位,核蛋白和刺突糖蛋白中发现了更多不同的序列。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b96b/9416013/800a694c25f2/viruses-14-01837-g001.jpg

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