• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

PAProC:一种可在万维网上获取的蛋白酶体切割预测算法。

PAProC: a prediction algorithm for proteasomal cleavages available on the WWW.

作者信息

Nussbaum A K, Kuttler C, Hadeler K P, Rammensee H G, Schild H

机构信息

Universität Tübingen, Interfakultäres Institut für Zellbiologie, Abteilung Immunologie, Auf der Morgenstelle 15, 72076 Tübingen, Germany.

出版信息

Immunogenetics. 2001 Mar;53(2):87-94. doi: 10.1007/s002510100300.

DOI:10.1007/s002510100300
PMID:11345595
Abstract

The first version of PAProC (Prediction Algorithm for Proteasomal Cleavages) is now available to the general public. PAProC is a prediction tool for cleavages by human and yeast proteasomes, based on experimental cleavage data. It will be particularly useful for immunologists working on antigen processing and the prediction of major histocompatibility complex class I molecule (MHC I) ligands and cytotoxic T-lymphocyte (CTL) epitopes. Likewise, in cases in which proteasomal protein degradation has been indicated in disease, PAProC can be used to assess the general cleavability of disease-linked proteins. On its web site (http://www.paproc.de), background information and hyperlinks are provided for the user (e.g., to SYFPEITHI, the database for the prediction of MHC I ligands).

摘要

PAProC(蛋白酶体切割预测算法)的首个版本现已向公众开放。PAProC是一种基于实验切割数据的人类和酵母蛋白酶体切割预测工具。它对于从事抗原加工以及预测主要组织相容性复合体I类分子(MHC I)配体和细胞毒性T淋巴细胞(CTL)表位的免疫学家来说将特别有用。同样,在已表明蛋白酶体蛋白降解与疾病相关的情况下,PAProC可用于评估疾病相关蛋白的一般可切割性。在其网站(http://www.paproc.de)上,为用户提供了背景信息和超链接(例如,指向预测MHC I配体的数据库SYFPEITHI)。

相似文献

1
PAProC: a prediction algorithm for proteasomal cleavages available on the WWW.PAProC:一种可在万维网上获取的蛋白酶体切割预测算法。
Immunogenetics. 2001 Mar;53(2):87-94. doi: 10.1007/s002510100300.
2
An algorithm for the prediction of proteasomal cleavages.一种用于预测蛋白酶体切割的算法。
J Mol Biol. 2000 May 5;298(3):417-29. doi: 10.1006/jmbi.2000.3683.
3
The specificity of proteasomes: impact on MHC class I processing and presentation of antigens.蛋白酶体的特异性:对MHC I类分子加工及抗原呈递的影响
Immunol Rev. 1999 Dec;172:29-48. doi: 10.1111/j.1600-065x.1999.tb01354.x.
4
Presentation assessment of minor histocompatibility antigens by predictive proteasomal cleavage analysis.通过预测性蛋白酶体裂解分析对次要组织相容性抗原进行呈现评估。
Ann Hematol. 2004 Feb;83(2):107-13. doi: 10.1007/s00277-003-0791-1. Epub 2003 Nov 26.
5
Cytotoxic T lymphocyte epitopes of HIV-1 Nef: Generation of multiple definitive major histocompatibility complex class I ligands by proteasomes.HIV-1 Nef的细胞毒性T淋巴细胞表位:蛋白酶体产生多种明确的主要组织相容性复合体I类配体
J Exp Med. 2000 Jan 17;191(2):239-52. doi: 10.1084/jem.191.2.239.
6
Cleavage motifs of the yeast 20S proteasome beta subunits deduced from digests of enolase 1.从烯醇化酶1消化产物推导的酵母20S蛋白酶体β亚基的切割基序。
Proc Natl Acad Sci U S A. 1998 Oct 13;95(21):12504-9. doi: 10.1073/pnas.95.21.12504.
7
Prediction of proteasome cleavage motifs by neural networks.通过神经网络预测蛋白酶体切割基序。
Protein Eng. 2002 Apr;15(4):287-96. doi: 10.1093/protein/15.4.287.
8
Double-cleavage production of the CTL epitope by proteasomes and PA28: role of the flanking region.蛋白酶体和PA28对CTL表位的双切割产生:侧翼区域的作用
Genes Cells. 1997 Dec;2(12):785-800. doi: 10.1046/j.1365-2443.1997.1610359.x.
9
Discrete cleavage motifs of constitutive and immunoproteasomes revealed by quantitative analysis of cleavage products.通过对裂解产物的定量分析揭示组成型和免疫蛋白酶体的离散裂解基序。
J Exp Med. 2001 Jul 2;194(1):1-12. doi: 10.1084/jem.194.1.1.
10
Substrate specificity of the human proteasome.
Chem Biol. 2001 Dec;8(12):1131-41. doi: 10.1016/s1074-5521(01)00080-1.

引用本文的文献

1
Engineered Proteins and Chemical Tools to Probe the Cell Surface Proteome.用于探测细胞表面蛋白质组的工程蛋白和化学工具
Chem Rev. 2025 Apr 23;125(8):4069-4110. doi: 10.1021/acs.chemrev.4c00554. Epub 2025 Apr 3.
2
Historical perspective and future directions: computational science in immuno-oncology.历史视角与未来方向:免疫肿瘤学中的计算科学。
J Immunother Cancer. 2024 Jan 8;12(1):e008306. doi: 10.1136/jitc-2023-008306.
3
NetCleave: An Open-Source Algorithm for Predicting C-Terminal Antigen Processing for MHC-I and MHC-II.
NetCleave:一种用于预测 MHC-I 和 MHC-II 中 C 端抗原加工的开源算法。
Methods Mol Biol. 2023;2673:211-226. doi: 10.1007/978-1-0716-3239-0_15.
4
Vaccines and Immunoinformatics for Vaccine Design.疫苗设计的疫苗学和免疫信息学。
Adv Exp Med Biol. 2022;1368:95-110. doi: 10.1007/978-981-16-8969-7_5.
5
Identification and Targeting of Mutant Peptide Neoantigens in Cancer Immunotherapy.癌症免疫疗法中突变肽新抗原的鉴定与靶向
Cancers (Basel). 2021 Aug 23;13(16):4245. doi: 10.3390/cancers13164245.
6
NetCleave: an open-source algorithm for predicting C-terminal antigen processing for MHC-I and MHC-II.NetCleave:用于预测 MHC-I 和 MHC-II 抗原加工的开源算法。
Sci Rep. 2021 Jun 23;11(1):13126. doi: 10.1038/s41598-021-92632-y.
7
AIV polyantigen epitope expressed by recombinant baculovirus induces a systemic immune response in chicken and mouse models.重组杆状病毒表达的 AIV 多抗原表位在鸡和鼠模型中诱导全身性免疫应答。
Virol J. 2020 Aug 5;17(1):121. doi: 10.1186/s12985-020-01388-w.
8
Naturally presented HLA class I-restricted epitopes from the neurotrophic factor S100-β are targets of the autoimmune response in type 1 diabetes.天然存在的 S100-β 神经生长因子 HLA Ⅰ类限制性表位是 1 型糖尿病自身免疫反应的靶标。
FASEB J. 2019 May;33(5):6390-6401. doi: 10.1096/fj.201802270R. Epub 2019 Feb 28.
9
APOBEC3G Regulation of the Evolutionary Race Between Adaptive Immunity and Viral Immune Escape Is Deeply Imprinted in the HIV Genome.APOBEC3G 对适应性免疫与病毒免疫逃逸之间进化竞争的调控在 HIV 基因组中留下了深刻的印记。
Front Immunol. 2019 Jan 11;9:3032. doi: 10.3389/fimmu.2018.03032. eCollection 2018.
10
Development of a novel immunoproteasome digestion assay for synthetic long peptide vaccine design.新型免疫蛋白酶体消化分析法在合成长肽疫苗设计中的应用。
PLoS One. 2018 Jul 3;13(7):e0199249. doi: 10.1371/journal.pone.0199249. eCollection 2018.