Literature DB >> 30560249

Effect of protein-protein interactions and solvent viscosity on the rotational diffusion of proteins in crowded environments.

Grzegorz Nawrocki1, Alp Karaboga, Yuji Sugita, Michael Feig.   

Abstract

The rotational diffusion of a protein in the presence of protein crowder molecules was analyzed via computer simulations. Cluster formation as a result of transient intermolecular contacts was identified as the dominant effect for reduced rotational diffusion upon crowding. The slow-down in diffusion was primarily correlated with direct protein-protein contacts rather than indirect interactions via shared hydration layers. But increased solvent viscosity due to crowding contributed to a lesser extent. Key protein-protein contacts correlated with a slow-down in diffusion involve largely interactions between charged and polar groups suggesting that the surface composition of a given protein and the resulting propensity for forming interactions with surrounding proteins in a crowded cellular environment may be the major determinant of its diffusive properties.

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Year:  2019        PMID: 30560249      PMCID: PMC6322922          DOI: 10.1039/c8cp06142d

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  8 in total

1.  Clustering and dynamics of crowded proteins near membranes and their influence on membrane bending.

Authors:  Grzegorz Nawrocki; Wonpil Im; Yuji Sugita; Michael Feig
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-18       Impact factor: 11.205

2.  Observed steric crowding at modest coverage requires a particular membrane-binding scheme or a complementary mechanism.

Authors:  Kayla Sapp; Alexander J Sodt
Journal:  Biophys J       Date:  2021-12-28       Impact factor: 4.033

Review 3.  FRET-based dynamic structural biology: Challenges, perspectives and an appeal for open-science practices.

Authors:  Eitan Lerner; Anders Barth; Jelle Hendrix; Benjamin Ambrose; Victoria Birkedal; Scott C Blanchard; Richard Börner; Hoi Sung Chung; Thorben Cordes; Timothy D Craggs; Ashok A Deniz; Jiajie Diao; Jingyi Fei; Ruben L Gonzalez; Irina V Gopich; Taekjip Ha; Christian A Hanke; Gilad Haran; Nikos S Hatzakis; Sungchul Hohng; Seok-Cheol Hong; Thorsten Hugel; Antonino Ingargiola; Chirlmin Joo; Achillefs N Kapanidis; Harold D Kim; Ted Laurence; Nam Ki Lee; Tae-Hee Lee; Edward A Lemke; Emmanuel Margeat; Jens Michaelis; Xavier Michalet; Sua Myong; Daniel Nettels; Thomas-Otavio Peulen; Evelyn Ploetz; Yair Razvag; Nicole C Robb; Benjamin Schuler; Hamid Soleimaninejad; Chun Tang; Reza Vafabakhsh; Don C Lamb; Claus Am Seidel; Shimon Weiss
Journal:  Elife       Date:  2021-03-29       Impact factor: 8.140

4.  Charge-driven condensation of RNA and proteins suggests broad role of phase separation in cytoplasmic environments.

Authors:  Bercem Dutagaci; Grzegorz Nawrocki; Joyce Goodluck; Ali Akbar Ashkarran; Charles G Hoogstraten; Lisa J Lapidus; Michael Feig
Journal:  Elife       Date:  2021-01-26       Impact factor: 8.140

5.  Dynamic cluster formation determines viscosity and diffusion in dense protein solutions.

Authors:  Sören von Bülow; Marc Siggel; Max Linke; Gerhard Hummer
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-29       Impact factor: 11.205

6.  Rotational and Translational Diffusion of Proteins as a Function of Concentration.

Authors:  Zahedeh Bashardanesh; Johan Elf; Haiyang Zhang; David van der Spoel
Journal:  ACS Omega       Date:  2019-11-27

7.  Reduced efficacy of a Src kinase inhibitor in crowded protein solution.

Authors:  Kento Kasahara; Suyong Re; Grzegorz Nawrocki; Hiraku Oshima; Chiemi Mishima-Tsumagari; Yukako Miyata-Yabuki; Mutsuko Kukimoto-Niino; Isseki Yu; Mikako Shirouzu; Michael Feig; Yuji Sugita
Journal:  Nat Commun       Date:  2021-07-02       Impact factor: 14.919

8.  Quantifying Protein-Protein Interactions in Molecular Simulations.

Authors:  Alfredo Jost Lopez; Patrick K Quoika; Max Linke; Gerhard Hummer; Jürgen Köfinger
Journal:  J Phys Chem B       Date:  2020-06-02       Impact factor: 2.991

  8 in total

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