Protein-protein interactions in a crowded environment

被引:39
作者
Bhattacharya A. [1 ]
Kim Y.C. [2 ]
Mittal J. [1 ]
机构
[1] Department of Chemical Engineering, Lehigh University, Bethlehem, PA
[2] Center for Computational Materials Science, Naval Research Laboratory, Washington DC
关键词
Cellular environment; Crowding theories; Dilute solution; Macromolecular crowding; Protein-crowder interactions; Protein-protein interactions;
D O I
10.1007/s12551-013-0111-5
中图分类号
学科分类号
摘要
Protein-protein interactions are important in many essential biological functions, such as transcription, translation, and signal transduction. Much progress has been made in understanding protein-protein association in dilute solution via experimentation and simulation. Cells, however, contain various macromolecules, such as DNA, RNA, proteins, among many others, and a myriad of non-specific interactions (usually weak) are present between these cellular constituents. In this review article, we describe the important developments in recent years that have furthered our understanding and even allowed prediction of the consequences of macromolecular crowding on protein-protein interactions. We outline the development of our crowding theory that can predict the change in binding free energy due to crowding quantitatively for both repulsive and attractive protein-crowder interactions. One of the most important findings from our recent work is that weak attractive interactions between crowders and proteins can actually destabilize protein complex formation as opposed to the commonly assumed stabilizing effect predicted based on traditional crowding theories that only account for the entropic-excluded volume effects. We also discuss the implications of macromolecular crowding on the population of encounter versus specific native complex. © 2013 International Union for Pure and Applied Biophysics (IUPAB) and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:99 / 108
页数:9
相关论文
共 50 条
  • [21] Prediction of Protein-Protein Interactions Based on Protein-Protein Correlation Using Least Squares Regression
    Huang, De-Shuang
    Zhang, Lei
    Han, Kyungsook
    Deng, Suping
    Yang, Kai
    Zhang, Hongbo
    CURRENT PROTEIN & PEPTIDE SCIENCE, 2014, 15 (06) : 553 - 560
  • [22] A Microfluidic Platform for Characterization of Protein-Protein Interactions
    Javanmard, Mehdi
    Talasaz, Amirali H.
    Nemat-Gorgani, Mohsen
    Huber, David E.
    Pease, Fabian
    Ronaghi, Mostafa
    Davis, Ronald W.
    IEEE SENSORS JOURNAL, 2009, 9 (08) : 883 - 891
  • [23] Mapping protein-protein interactions with combinatorial peptides
    Brian, BK
    COMPARATIVE AND FUNCTIONAL GENOMICS, 2001, 2 (05): : 304 - 306
  • [24] Study of Protein-protein Interactions in Autophagy Research
    Erbil-Bilir, Secil
    Kocaturk, Nur M.
    Yayli, Melih
    Gozuacik, Devrim
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2017, (127):
  • [25] Imaging protein-protein interactions in living cells
    Hink, MA
    Bisseling, T
    Visser, AJWG
    PLANT MOLECULAR BIOLOGY, 2002, 50 (06) : 871 - 883
  • [26] Exploring protein-protein interactions with phage display
    Sidhu, SS
    Fairbrother, WJ
    Deshayes, K
    CHEMBIOCHEM, 2003, 4 (01) : 14 - 25
  • [27] Technologies for the identification and validation of protein-protein interactions
    Pichlerova, Karoline
    Hanes, Jozef
    GENERAL PHYSIOLOGY AND BIOPHYSICS, 2021, 40 (06) : 495 - 522
  • [28] Imaging protein-protein interactions in living cells
    Mark A. Hink
    Ton Bisseling
    Antonie J.W.G. Visser
    Plant Molecular Biology, 2002, 50 : 871 - 883
  • [29] Targeting Protein-Protein Interactions in the HIF System
    Wilkins, Sarah E.
    Abboud, Martine I.
    Hancock, Rebecca L.
    Schofield, Christopher J.
    CHEMMEDCHEM, 2016, 11 (08) : 773 - 786
  • [30] Computational Methods for the Prediction of Protein-Protein Interactions
    Xia, Jun-Feng
    Wang, Shu-Lin
    Lei, Ying-Ke
    PROTEIN AND PEPTIDE LETTERS, 2010, 17 (09) : 1069 - 1078