文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

动态蛋白质组学在活细胞建模中的应用。蛋白质-蛋白质相互作用。

Dynamic proteomics in modeling of the living cell. Protein-protein interactions.

机构信息

Russian State Medical University, ul. Ostrovityanova 1, Moscow, Russia.

出版信息

Biochemistry (Mosc). 2009 Dec;74(13):1586-607. doi: 10.1134/s0006297909130112.


DOI:10.1134/s0006297909130112
PMID:20210711
Abstract

This review is devoted to describing, summarizing, and analyzing of dynamic proteomics data obtained over the last few years and concerning the role of protein-protein interactions in modeling of the living cell. Principles of modern high-throughput experimental methods for investigation of protein-protein interactions are described. Systems biology approaches based on integrative view on cellular processes are used to analyze organization of protein interaction networks. It is proposed that finding of some proteins in different protein complexes can be explained by their multi-modular and polyfunctional properties; the different protein modules can be located in the nodes of protein interaction networks. Mathematical and computational approaches to modeling of the living cell with emphasis on molecular dynamics simulation are provided. The role of the network analysis in fundamental medicine is also briefly reviewed.

摘要

这篇综述致力于描述、总结和分析过去几年获得的有关蛋白质-蛋白质相互作用在活细胞建模中作用的动态蛋白质组学数据。描述了用于研究蛋白质-蛋白质相互作用的现代高通量实验方法的原理。基于对细胞过程的综合观点的系统生物学方法被用于分析蛋白质相互作用网络的组织。提出了这样的观点,即某些蛋白质在不同的蛋白质复合物中的存在可以用它们的多模块和多功能特性来解释;不同的蛋白质模块可以位于蛋白质相互作用网络的节点中。提供了强调分子动力学模拟的活细胞建模的数学和计算方法。还简要回顾了网络分析在基础医学中的作用。

相似文献

[1]
Dynamic proteomics in modeling of the living cell. Protein-protein interactions.

Biochemistry (Mosc). 2009-12

[2]
Predicting protein complexes by data integration of different types of interactions.

Int J Comput Biol Drug Des. 2010

[3]
Recent advances in charting protein-protein interaction: mass spectrometry-based approaches.

Curr Opin Biotechnol. 2010-10-9

[4]
Integrated Strategies to Gain a Systems-Level View of Dynamic Signaling Networks.

Methods Enzymol. 2017

[5]
Unraveling the dynamics of protein interactions with quantitative mass spectrometry.

Crit Rev Biochem Mol Biol. 2011-3-26

[6]
Quantitative proteomics and its applications for systems biology.

Biochemistry (Mosc). 2006-10

[7]
Protein complexes, big data, machine learning and integrative proteomics: lessons learned over a decade of systematic analysis of protein interaction networks.

Expert Rev Proteomics. 2017-9-18

[8]
Interactome mapping for analysis of complex phenotypes: insights from benchmarking binary interaction assays.

Proteomics. 2012-5

[9]
Three-dimensional modeling of protein interactions and complexes is going 'omics.

Curr Opin Struct Biol. 2011-2-12

[10]
Analyzing protein-protein interactions in the post-interactomic era. Are we ready for the endgame?

Biochem Biophys Res Commun. 2014-2-15

引用本文的文献

[1]
DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model.

Bioinformatics. 2023-12-1

[2]
Evaluation of the Effectiveness of Derived Features of AlphaFold2 on Single-Sequence Protein Binding Site Prediction.

Biology (Basel). 2022-10-3

[3]
Protein-protein interaction prediction with deep learning: A comprehensive review.

Comput Struct Biotechnol J. 2022-9-19

[4]
ProB-Site: Protein Binding Site Prediction Using Local Features.

Cells. 2022-7-5

[5]
Discovery and characterization of functional modules associated with body weight in broilers.

Sci Rep. 2019-6-24

[6]
An uncertain model-based approach for identifying dynamic protein complexes in uncertain protein-protein interaction networks.

BMC Genomics. 2017-10-16

[7]
Functional diversity of topological modules in human protein-protein interaction networks.

Sci Rep. 2017-11-23

[8]
BiCAMWI: A Genetic-Based Biclustering Algorithm for Detecting Dynamic Protein Complexes.

PLoS One. 2016-7-27

[9]
A method for predicting protein complex in dynamic PPI networks.

BMC Bioinformatics. 2016-7-25

[10]
A conceptual review on systems biology in health and diseases: from biological networks to modern therapeutics.

Syst Synth Biol. 2014-3

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索