• 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

亚细胞:亚细胞区室特异性分子相互作用的全景图。

SubCELL: the landscape of subcellular compartment-specific molecular interactions.

作者信息

Zhang Yintao, Jiang Wanghao, Li Teng, Xu Hangwei, Zhu Yimiao, Fang Kerui, Ren Xinyu, Wang Shanshan, Chen Yuzong, Zhou Ying, Zhu Feng

机构信息

College of Pharmaceutical Sciences, Department of Pharmacy, Second Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory of Advanced Drug Delivery and Release Systems, Zhejiang University, Hangzhou 310058, China.

Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 330110, China.

出版信息

Nucleic Acids Res. 2025 Jan 6;53(D1):D738-D747. doi: 10.1093/nar/gkae863.

DOI:10.1093/nar/gkae863
PMID:39373488
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11701543/
Abstract

The subcellular compartment-specific molecular interactions (SCSIs) are the building blocks for most molecular functions, biological processes and disease pathogeneses. Extensive experiments have therefore been conducted to accumulate the valuable information of SCSIs, but none of the available databases has been constructed to describe those data. In this study, a novel knowledge base SubCELL is thus introduced to depict the landscape of SCSIs among DNAs/RNAs/proteins. This database is UNIQUE in (a) providing, for the first time, the experimentally-identified SCSIs, (b) systematically illustrating a large number of SCSIs inferred based on well-established method and (c) collecting experimentally-determined subcellular locations for the DNAs/RNAs/proteins of diverse species. Given the essential physiological/pathological role of SCSIs, the SubCELL is highly expected to have great implications for modern molecular biological study, which can be freely accessed with no login requirement at: https://idrblab.org/subcell/.

摘要

亚细胞区室特异性分子相互作用(SCSIs)是大多数分子功能、生物过程和疾病发病机制的构建模块。因此,人们进行了大量实验以积累SCSIs的宝贵信息,但尚未构建任何可用数据库来描述这些数据。在本研究中,因此引入了一个新的知识库SubCELL来描绘DNA/RNA/蛋白质之间的SCSIs全景。该数据库的独特之处在于:(a)首次提供实验确定的SCSIs;(b)系统地阐明基于成熟方法推断出的大量SCSIs;(c)收集不同物种DNA/RNA/蛋白质的实验确定的亚细胞定位。鉴于SCSIs至关重要的生理/病理作用,SubCELL有望对现代分子生物学研究产生重大影响,可通过以下网址免费访问,无需登录:https://idrblab.org/subcell/ 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/d3c6d4840dfd/gkae863fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/06cfbaa41ccb/gkae863figgra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/2e819d4603c2/gkae863fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/5e26b4fc0936/gkae863fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/928c032c301b/gkae863fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/3a01af7a6a1c/gkae863fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/d3c6d4840dfd/gkae863fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/06cfbaa41ccb/gkae863figgra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/2e819d4603c2/gkae863fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/5e26b4fc0936/gkae863fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/928c032c301b/gkae863fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/3a01af7a6a1c/gkae863fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71ce/11701543/d3c6d4840dfd/gkae863fig5.jpg

相似文献

1
SubCELL: the landscape of subcellular compartment-specific molecular interactions.亚细胞:亚细胞区室特异性分子相互作用的全景图。
Nucleic Acids Res. 2025 Jan 6;53(D1):D738-D747. doi: 10.1093/nar/gkae863.
2
MolBiC: the cell-based landscape illustrating molecular bioactivities.MolBiC:基于细胞的展现分子生物活性的图谱
Nucleic Acids Res. 2025 Jan 6;53(D1):D1683-D1691. doi: 10.1093/nar/gkae868.
3
SISPRO: Signature Identification for Spatial Proteomics.SISPRO:空间蛋白质组学的特征鉴定。
J Mol Biol. 2023 Jul 15;435(14):167944. doi: 10.1016/j.jmb.2022.167944. Epub 2023 Jan 10.
4
NPCDR: natural product-based drug combination and its disease-specific molecular regulation.NPCDR:基于天然产物的药物组合及其针对特定疾病的分子调控。
Nucleic Acids Res. 2022 Jan 7;50(D1):D1324-D1333. doi: 10.1093/nar/gkab913.
5
DRESIS: the first comprehensive landscape of drug resistance information.DRESIS:首个全面的耐药性信息全景图。
Nucleic Acids Res. 2023 Jan 6;51(D1):D1263-D1275. doi: 10.1093/nar/gkac812.
6
Chem(Pro)2: the atlas of chemoproteomic probes labelling human proteins.Chem(Pro)2:标记人类蛋白质的化学蛋白质组学探针图谱
Nucleic Acids Res. 2025 Jan 6;53(D1):D1651-D1662. doi: 10.1093/nar/gkae943.
7
SYNBIP: synthetic binding proteins for research, diagnosis and therapy.SYNBIP:用于研究、诊断和治疗的合成结合蛋白。
Nucleic Acids Res. 2022 Jan 7;50(D1):D560-D570. doi: 10.1093/nar/gkab926.
8
OPTICS: An interactive online platform for photosensory and bio-functional proteins in optogenetic systems.光学:光遗传学系统中光感觉和生物功能蛋白的交互式在线平台。
Comput Biol Med. 2024 Aug;178:108687. doi: 10.1016/j.compbiomed.2024.108687. Epub 2024 Jun 5.
9
CovInter: interaction data between coronavirus RNAs and host proteins.CovInter:冠状病毒 RNA 与宿主蛋白之间的相互作用数据。
Nucleic Acids Res. 2023 Jan 6;51(D1):D546-D556. doi: 10.1093/nar/gkac834.
10
NPInter v2.0: an updated database of ncRNA interactions.NPInter v2.0:一个更新的 ncRNA 相互作用数据库。
Nucleic Acids Res. 2014 Jan;42(Database issue):D104-8. doi: 10.1093/nar/gkt1057. Epub 2013 Nov 11.

引用本文的文献

1
LocPro: A deep learning-based prediction of protein subcellular localization for promoting multi-directional pharmaceutical research.LocPro:基于深度学习的蛋白质亚细胞定位预测,以促进多方向药物研究。
J Pharm Anal. 2025 Aug;15(8):101255. doi: 10.1016/j.jpha.2025.101255. Epub 2025 Mar 5.

本文引用的文献

1
AnnoPRO: a strategy for protein function annotation based on multi-scale protein representation and a hybrid deep learning of dual-path encoding.AnnoPRO:一种基于多尺度蛋白质表示和双通道编码混合深度学习的蛋白质功能注释策略。
Genome Biol. 2024 Feb 1;25(1):41. doi: 10.1186/s13059-024-03166-1.
2
Translating p53-based therapies for cancer into the clinic.将基于 p53 的癌症疗法转化为临床应用。
Nat Rev Cancer. 2024 Mar;24(3):192-215. doi: 10.1038/s41568-023-00658-3. Epub 2024 Jan 29.
3
Nuclear and cytoplasmic specific RNA binding proteome enrichment and its changes upon ferroptosis induction.
核和细胞质特异性 RNA 结合蛋白组的富集及其在铁死亡诱导下的变化。
Nat Commun. 2024 Jan 29;15(1):852. doi: 10.1038/s41467-024-44987-9.
4
System-wide analysis of RNA and protein subcellular localization dynamics.系统分析 RNA 和蛋白质亚细胞定位动态。
Nat Methods. 2024 Jan;21(1):60-71. doi: 10.1038/s41592-023-02101-9. Epub 2023 Nov 30.
5
Database resources of the National Center for Biotechnology Information.国家生物技术信息中心数据库资源。
Nucleic Acids Res. 2024 Jan 5;52(D1):D33-D43. doi: 10.1093/nar/gkad1044.
6
Ensembl 2024.Ensembl 2024.
Nucleic Acids Res. 2024 Jan 5;52(D1):D891-D899. doi: 10.1093/nar/gkad1049.
7
AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences.2024 年的 AlphaFold 蛋白质结构数据库:为超过 2.14 亿个蛋白质序列提供结构覆盖。
Nucleic Acids Res. 2024 Jan 5;52(D1):D368-D375. doi: 10.1093/nar/gkad1011.
8
A task-specific encoding algorithm for RNAs and RNA-associated interactions based on convolutional autoencoder.基于卷积自动编码器的 RNA 及其相关相互作用的特定任务编码算法。
Nucleic Acids Res. 2023 Nov 27;51(21):e110. doi: 10.1093/nar/gkad929.
9
A Transformer-Based Ensemble Framework for the Prediction of Protein-Protein Interaction Sites.一种基于Transformer的蛋白质-蛋白质相互作用位点预测集成框架。
Research (Wash D C). 2023 Sep 27;6:0240. doi: 10.34133/research.0240. eCollection 2023.
10
TTD: Therapeutic Target Database describing target druggability information.TTD:治疗靶点数据库,描述靶点药物可开发性信息。
Nucleic Acids Res. 2024 Jan 5;52(D1):D1465-D1477. doi: 10.1093/nar/gkad751.