Insights Into Crowding Effects on Protein Stability From a Coarse-Grained Model

被引:14
|
作者
Shen, Vincent K. [1 ]
Cheung, Jason K. [2 ]
Errington, Jeffrey R. [3 ]
Truskett, Thomas M. [4 ,5 ]
机构
[1] Natl Inst Stand & Technol, Phys & Chem Properties Div, Gaithersburg, MD 20899 USA
[2] Schering Plough Res Inst, Summit, NJ 07091 USA
[3] SUNY Buffalo, Dept Chem & Biol Engn, Buffalo, NY 14260 USA
[4] Univ Texas Austin, Dept Chem Engn, Austin, TX 78712 USA
[5] Univ Texas Austin, Inst Theoret Chem, Austin, TX 78712 USA
关键词
MOLECULAR-DYNAMICS SIMULATIONS; LIQUID PHASE COEXISTENCE; CONCENTRATED-SOLUTIONS; CRYSTAL NUCLEATION; INCLUSION-BODIES; SURFACE-TENSION; AGGREGATION; TRANSITION; SEPARATION; THERMODYNAMICS;
D O I
10.1115/1.3127259
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Proteins aggregate and precipitate from high concentration solutions in a wide variety of problems of natural and technological interest. Consequently, there is a broad interest in developing new ways to model the thermodynamic and kinetic aspects of protein stability in these crowded cellular or solution environments. We use a coarse-grained modeling approach to study the effects of different crowding agents on the conformational equilibria of proteins and the thermodynamic phase behavior of their solutions. At low to moderate protein concentrations, we find that crowding species can either stabilize or destabilize the native state, depending on the strength of their attractive interaction with the proteins. At high protein concentrations, crowders tend to stabilize the native state due to excluded volume effects, irrespective of the strength of the crowder-protein attraction. Crowding agents reduce the tendency of protein solutions to undergo a liquid-liquid phase separation driven by strong protein-protein attractions. The aforementioned equilibrium trends represent, to our knowledge, the first simulation predictions for how the properties of crowding species impact the global thermodynamic stability of proteins and their solutions. [DOI: 10.1115/1.3127259]
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Coarse-grained model for protein folding based on structural profiles
    Wolff, Katrin
    Vendruscolo, Michele
    Porto, Markus
    PHYSICAL REVIEW E, 2011, 84 (04):
  • [42] Protein secondary-structure description with a coarse-grained model
    Kneller, Gerald R.
    Hinsen, Konrad
    ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY, 2015, 71 : 1411 - 1422
  • [43] Coarse-grained protein model, cooperativity of folding and subdomain structure
    Kenzaki, H
    Kikuchi, M
    CHEMICAL PHYSICS LETTERS, 2006, 422 (4-6) : 429 - 433
  • [44] A Coarse-Grained Protein Model in a Water-like Solvent
    Sharma, Sumit
    Kumar, Sanat K.
    Buldyrev, Sergey V.
    Debenedetti, Pablo G.
    Rossky, Peter J.
    Stanley, H. Eugene
    SCIENTIFIC REPORTS, 2013, 3
  • [45] Simulation of FUS Protein Condensates with an Adapted Coarse-Grained Model
    Benayad, Zakarya
    von Buelow, Soren
    Stelzl, Lukas S.
    Hummer, Gerhard
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2021, 17 (01) : 525 - 537
  • [46] A polarizable coarse-grained protein model for dissipative particle dynamics
    Peter, Emanuel K.
    Lykov, Kirill
    Pivkin, Igor V.
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2015, 17 (37) : 24452 - 24461
  • [47] Simulating protein unfolding under pressure with a coarse-grained model
    Perezzan, Ramiro
    Rey, Antonio
    JOURNAL OF CHEMICAL PHYSICS, 2012, 137 (18):
  • [48] Coarse-Grained Molecular Model for the Glycosylphosphatidylinositol Anchor with and without Protein
    Banerjee, Pallavi
    Lipowsky, Reinhard
    Santer, Mark
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2020, 16 (06) : 3889 - 3903
  • [49] Complex Coacervation in Polyelectrolytes from a Coarse-Grained Model
    Andreev, Marat
    Prabhu, Vivek M.
    Douglas, Jack F.
    Tirrell, Matthew
    de Pablo, Juan J.
    MACROMOLECULES, 2018, 51 (17) : 6717 - 6723
  • [50] Effects of pH and Salt Concentration on Stability of a Protein G Variant Using Coarse-Grained Models
    de Oliveira, Vinicius Martins
    Contessoto, Vinicius de Godoi
    da Silva, Fernando Bruno
    Zago Caetano, Daniel Lucas
    de Carvalho, Sidney Jurado
    Pereira Leite, Vitor Barbanti
    BIOPHYSICAL JOURNAL, 2018, 114 (01) : 65 - 75