• 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

KinomeXplorer: an integrated platform for kinome biology studies.

作者信息

Horn Heiko, Schoof Erwin M, Kim Jinho, Robin Xavier, Miller Martin L, Diella Francesca, Palma Anita, Cesareni Gianni, Jensen Lars Juhl, Linding Rune

机构信息

1] Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark. [2].

1] Cellular Signal Integration Group (C-SIG), Center for Biological Sequence Analysis (CBS), Department of Systems Biology, Technical University of Denmark (DTU), Lyngby, Denmark. [2].

出版信息

Nat Methods. 2014 Jun;11(6):603-4. doi: 10.1038/nmeth.2968.

DOI:10.1038/nmeth.2968
PMID:24874572
Abstract
摘要

相似文献

1
KinomeXplorer: an integrated platform for kinome biology studies.激酶组探索者：一个用于激酶组生物学研究的集成平台。
Nat Methods. 2014 Jun;11(6):603-4. doi: 10.1038/nmeth.2968.
2
Linking the kinome and phosphorylome--a comprehensive review of approaches to find kinase targets.连接激酶组和磷酸化蛋白质组——寻找激酶靶点方法的全面综述
Mol Biosyst. 2008 Sep;4(9):920-33. doi: 10.1039/b801724g. Epub 2008 Jul 17.
3
Protein kinase resource: an integrated environment for phosphorylation research.蛋白激酶资源：磷酸化研究的综合环境。
Proteins. 2006 Apr 1;63(1):78-86. doi: 10.1002/prot.20825.
4
New Perspectives, Opportunities, and Challenges in Exploring the Human Protein Kinome.探索人类蛋白激酶组的新视角、新机遇和新挑战。
Cancer Res. 2018 Jan 1;78(1):15-29. doi: 10.1158/0008-5472.CAN-17-2291. Epub 2017 Dec 18.
5
KinMap: a web-based tool for interactive navigation through human kinome data.KinMap：一款用于通过人类激酶组数据进行交互式导航的基于网络的工具。
BMC Bioinformatics. 2017 Jan 5;18(1):16. doi: 10.1186/s12859-016-1433-7.
6
INTEGRATING GENETIC AND STRUCTURAL DATA ON HUMAN PROTEIN KINOME IN NETWORK-BASED MODELING OF KINASE SENSITIVITIES AND RESISTANCE TO TARGETED AND PERSONALIZED ANTICANCER DRUGS.在激酶敏感性以及对靶向和个性化抗癌药物耐药性的网络建模中整合人类蛋白激酶组的遗传和结构数据
Pac Symp Biocomput. 2016;21:45-56.
7
Kinomics: methods for deciphering the kinome.激酶组学：解析激酶组的方法。
Nat Methods. 2005 Jan;2(1):17-25. doi: 10.1038/nmeth731.
8
Sequence and structure signatures of cancer mutation hotspots in protein kinases.癌症激酶蛋白热点突变的序列和结构特征。
PLoS One. 2009 Oct 16;4(10):e7485. doi: 10.1371/journal.pone.0007485.
9
Large-scale proteomics analysis of the human kinome.人类激酶组的大规模蛋白质组学分析。
Mol Cell Proteomics. 2009 Jul;8(7):1751-64. doi: 10.1074/mcp.M800588-MCP200. Epub 2009 Apr 15.
10
Structure-guided selection of specificity determining positions in the human Kinome.人类激酶组中特异性决定位点的结构导向选择
BMC Genomics. 2016 Aug 18;17 Suppl 4(Suppl 4):431. doi: 10.1186/s12864-016-2790-3.

引用本文的文献

1
Integrative multi-omics characterization of 12 syngeneic mouse models.12种同基因小鼠模型的整合多组学特征分析
iScience. 2025 Jun 27;28(8):113024. doi: 10.1016/j.isci.2025.113024. eCollection 2025 Aug 15.
2
Inference of differential kinase interaction networks with KINference.利用KINference推断差异激酶相互作用网络。
Bioinformatics. 2025 Jun 20. doi: 10.1093/bioinformatics/btaf349.
3
Comprehensive evaluation of phosphoproteomic-based kinase activity inference.基于磷酸化蛋白质组学的激酶活性推断的综合评估。

本文引用的文献

1
The scientific drunk and the lamppost: massive sequencing efforts in cancer discovery and treatment.科学醉汉与灯柱：癌症发现与治疗中的大规模测序努力。
Sci Signal. 2013 Apr 2;6(269):pe13. doi: 10.1126/scisignal.2003684.
2
Focus issue: From genomic mutations to oncogenic pathways.重点议题：从基因突变到致癌途径。
Sci Signal. 2013 Mar 26;6(268):eg3. doi: 10.1126/scisignal.2004149.
3
Comprehensive analysis of kinase inhibitor selectivity.激酶抑制剂选择性的综合分析。
Nat Commun. 2025 May 22;16(1):4771. doi: 10.1038/s41467-025-59779-y.
4
Data-driven extraction of human kinase-substrate relationships from omics datasets.从组学数据集中通过数据驱动提取人类激酶-底物关系。
Mol Cell Proteomics. 2025 May 15:100994. doi: 10.1016/j.mcpro.2025.100994.
5
Identification of a resistance-exercise-specific signalling pathway that drives skeletal muscle growth.鉴定驱动骨骼肌生长的抗阻运动特异性信号通路。
Nat Metab. 2025 May 15. doi: 10.1038/s42255-025-01298-7.
6
KINAID: an orthology-based kinase-substrate prediction and analysis tool for phosphoproteomics.KINAID：一种用于磷酸蛋白质组学的基于直系同源的激酶-底物预测与分析工具。
Bioinformatics. 2025 May 6;41(5). doi: 10.1093/bioinformatics/btaf300.
7
The SIK3-N783Y mutation is associated with the human natural short sleep trait.SIK3-N783Y突变与人类自然短睡眠特征相关。
Proc Natl Acad Sci U S A. 2025 May 13;122(19):e2500356122. doi: 10.1073/pnas.2500356122. Epub 2025 May 5.
8
Leveraging HILIC/ERLIC separations for online nanoscale LC-MS/MS analysis of phosphopeptide isoforms from RNA polymerase II C-terminal domain.利用亲水相互作用色谱/静电排斥亲水相互作用色谱分离技术进行在线纳米级液相色谱-串联质谱分析RNA聚合酶II C末端结构域的磷酸肽异构体。
J Chromatogr B Analyt Technol Biomed Life Sci. 2025 May 1;1257:124560. doi: 10.1016/j.jchromb.2025.124560. Epub 2025 Mar 17.
9
Deciphering the dark cancer phosphoproteome using machine-learned co-regulation of phosphosites.利用机器学习的磷酸化位点共调控来解析癌症暗磷酸化蛋白质组。
Nat Commun. 2025 Mar 20;16(1):2766. doi: 10.1038/s41467-025-57993-2.
10
Multi-omics insights into the molecular signature and prognosis of hypopharyngeal squamous cell carcinoma.下咽鳞状细胞癌分子特征与预后的多组学见解
Commun Biol. 2025 Mar 5;8(1):370. doi: 10.1038/s42003-025-07700-0.
Nat Biotechnol. 2011 Oct 30;29(11):1046-51. doi: 10.1038/nbt.1990.
4
Comprehensive assay of kinase catalytic activity reveals features of kinase inhibitor selectivity.综合激酶催化活性分析揭示激酶抑制剂选择性特征。
Nat Biotechnol. 2011 Oct 30;29(11):1039-45. doi: 10.1038/nbt.2017.
5
Phospho.ELM: a database of phosphorylation sites--update 2011.磷酸化位点数据库Phospho.ELM：2011年更新版
Nucleic Acids Res. 2011 Jan;39(Database issue):D261-7. doi: 10.1093/nar/gkq1104. Epub 2010 Nov 9.
6
Phosphotyrosine signaling: evolving a new cellular communication system.磷酸化酪氨酸信号转导：进化中的新型细胞通讯系统。
Cell. 2010 Sep 3;142(5):661-7. doi: 10.1016/j.cell.2010.08.023.
7
Linear motif atlas for phosphorylation-dependent signaling.磷酸化依赖性信号传导的线性模体图谱
Sci Signal. 2008 Sep 2;1(35):ra2. doi: 10.1126/scisignal.1159433.
8
Systematic discovery of in vivo phosphorylation networks.体内磷酸化网络的系统性发现。
Cell. 2007 Jun 29;129(7):1415-26. doi: 10.1016/j.cell.2007.05.052. Epub 2007 Jun 14.
9
Reading protein modifications with interaction domains.利用相互作用结构域读取蛋白质修饰
Nat Rev Mol Cell Biol. 2006 Jul;7(7):473-83. doi: 10.1038/nrm1960.
10
A systems model of signaling identifies a molecular basis set for cytokine-induced apoptosis.一种信号传导系统模型确定了细胞因子诱导凋亡的分子基础集。
Science. 2005 Dec 9;310(5754):1646-53. doi: 10.1126/science.1116598.