Literature DB >> 28510161

Protein-protein interactions in a crowded environment.

Apratim Bhattacharya1, Young C Kim2, Jeetain Mittal3.   

Abstract

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.

Keywords:  Cellular environment; Crowding theories; Dilute solution; Macromolecular crowding; Protein–crowder interactions; Protein–protein interactions

Year:  2013        PMID: 28510161      PMCID: PMC5425720          DOI: 10.1007/s12551-013-0111-5

Source DB:  PubMed          Journal:  Biophys Rev        ISSN: 1867-2450


  43 in total

1.  Crowding effects on EcoRV kinetics and binding.

Authors:  J R Wenner; V A Bloomfield
Journal:  Biophys J       Date:  1999-12       Impact factor: 4.033

2.  Effects of crowding by mono-, di-, and tetrasaccharides on cytochrome c-cytochrome c peroxidase binding: comparing experiment to theory.

Authors:  A S Morar; X Wang; G J Pielak
Journal:  Biochemistry       Date:  2001-01-09       Impact factor: 3.162

3.  Dependence of protein folding stability and dynamics on the density and composition of macromolecular crowders.

Authors:  Jeetain Mittal; Robert B Best
Journal:  Biophys J       Date:  2010-01-20       Impact factor: 4.033

4.  Macromolecular crowding effects on protein-protein binding affinity and specificity.

Authors:  Young C Kim; Robert B Best; Jeetain Mittal
Journal:  J Chem Phys       Date:  2010-11-28       Impact factor: 3.488

5.  Coarse-grained models for simulations of multiprotein complexes: application to ubiquitin binding.

Authors:  Young C Kim; Gerhard Hummer
Journal:  J Mol Biol       Date:  2007-11-28       Impact factor: 5.469

6.  Effect of macromolecular crowding on reaction rates: a computational and theoretical study.

Authors:  Jun Soo Kim; Arun Yethiraj
Journal:  Biophys J       Date:  2009-02-18       Impact factor: 4.033

7.  Macromolecular crowding accelerates amyloid formation by human apolipoprotein C-II.

Authors:  Danny M Hatters; Allen P Minton; Geoffrey J Howlett
Journal:  J Biol Chem       Date:  2001-12-18       Impact factor: 5.157

8.  Exploring weak, transient protein--protein interactions in crowded in vivo environments by in-cell nuclear magnetic resonance spectroscopy.

Authors:  Qinghua Wang; Anastasia Zhuravleva; Lila M Gierasch
Journal:  Biochemistry       Date:  2011-10-05       Impact factor: 3.162

9.  Quantitative characterization of temperature-independent and temperature-dependent protein-protein interactions in highly nonideal solutions.

Authors:  Adedayo A Fodeke; Allen P Minton
Journal:  J Phys Chem B       Date:  2011-08-31       Impact factor: 2.991

Review 10.  Fundamental aspects of protein-protein association kinetics.

Authors:  G Schreiber; G Haran; H-X Zhou
Journal:  Chem Rev       Date:  2009-03-11       Impact factor: 60.622

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  8 in total

Review 1.  Molecular simulations of cellular processes.

Authors:  Fabio Trovato; Giordano Fumagalli
Journal:  Biophys Rev       Date:  2017-11-28

2.  Improving coarse-grained models of protein folding through weighting of polar-polar/hydrophobic-hydrophobic interactions into crowded spaces.

Authors:  Hiram Isaac Beltrán; Salomón J Alas-Guardado; Pedro Pablo González-Pérez
Journal:  J Mol Model       Date:  2022-03-09       Impact factor: 1.810

3.  Evaluation of weak interactions of proteins and organic cations with DNA duplex structures.

Authors:  Ryuta Morimoto; Masao Horita; Daisuke Yamaguchi; Hiroki Nakai; Shu-Ichi Nakano
Journal:  Biophys J       Date:  2022-07-05       Impact factor: 3.699

4.  Investigating molecular crowding during cell division and hyperosmotic stress in budding yeast with FRET.

Authors:  Sarah Lecinski; Jack W Shepherd; Lewis Frame; Imogen Hayton; Chris MacDonald; Mark C Leake
Journal:  Curr Top Membr       Date:  2021-11-16       Impact factor: 3.049

Review 5.  Modeling Crowded Environment in Molecular Simulations.

Authors:  Natalia Ostrowska; Michael Feig; Joanna Trylska
Journal:  Front Mol Biosci       Date:  2019-09-11

6.  In Silico Identification of Potential Druggable Binding Sites on CIN85 SH3 Domain.

Authors:  Serena Vittorio; Thomas Seidel; Arthur Garon; Rosaria Gitto; Thierry Langer; Laura De Luca
Journal:  Int J Mol Sci       Date:  2021-01-07       Impact factor: 5.923

Review 7.  Probing Protein-Protein Interactions Using Asymmetric Labeling and Carbonyl-Carbon Selective Heteronuclear NMR Spectroscopy.

Authors:  Erik K Larsen; Cristina Olivieri; Caitlin Walker; Manu V S; Jiali Gao; David A Bernlohr; Marco Tonelli; John L Markley; Gianluigi Veglia
Journal:  Molecules       Date:  2018-08-03       Impact factor: 4.411

8.  A General Small-Angle X-ray Scattering-Based Screening Protocol for Studying Physical Stability of Protein Formulations.

Authors:  Fangrong Zhang; Gesa Richter; Benjamin Bourgeois; Emil Spreitzer; Armin Moser; Andreas Keilbach; Petra Kotnik; Tobias Madl
Journal:  Pharmaceutics       Date:  2021-12-28       Impact factor: 6.321

  8 in total

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