Abstract
Protein aggregation is believed to be responsible for a number of human diseases and limits the yields of pharmaceutical proteins during production. Computer simulations can be used to develop novel experimentally testable hypotheses pertaining to aggregation. While all-atom simulations with explicit solvent are too computationally intensive to address the multitude of relevant time scales, coarse-grained models make it possible to observe the transition of monomers to an equilibrium containing aggregates. Here, we provide the reader with background information and a list of steps for setting up, performing, and analyzing computer simulations of aggregating coarse-grained (CG) proteins.
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References
Dobson CM (2003) Protein folding and misfolding. Nature 426:884–890
Clark ED (2001) Protein refolding for industrial processes. Curr Opin Biotechnol 12:202–207
den Engelsman J, Garidel P, Smulders R, Koll H, Smith B, Bassarab S, Seidl A, Hainzl O, Jiskoot W (2011) Strategies for the assessment of protein aggregates in pharmaceutical biotech product development. Pharm Res 28:920–933
Cherny I, Gazit E (2008) Amyloids: not only pathological agents but also ordered nanomaterials. Angew Chem Int Ed 47:4062–4069
Ulijn RV, Smith AM (2008) Designing peptide based nanomaterials. Chem Soc Rev 37:664–675
Zhang SG (2003) Fabrication of novel biomaterials through molecular self-assembly. Nat Biotechnol 21:1171–1178
Bratko D, Cellmer T, Prausnitz JM, Blanch HW (2007) Molecular simulation of protein aggregation. Biotechnol Bioeng 96:1–8
Cellmer T, Bratko D, Prausnitz JM, Blanch HW (2007) Protein aggregation in silico. Trends Biotechnol 25:254–261
Wu C, Shea JE (2011) Coarse-grained models for protein aggregation. Curr Opin Struct Biol 21:209–220
Ma BY, Nussinov R (2006) Simulations as analytical tools to understand protein aggregation and predict amyloid conformation. Curr Opin Chem Biol 10:445–452
Fawzi NL, Yap EH, Okabe Y, Kohlstedt KL, Brown SP, Head-Gordon T (2008) Contrasting disease and nondisease protein aggregation by molecular simulation. Acc Chem Res 41:1037–1047
Piana S, Lindorff-Larsen K, Shaw DE (2011) How robust are protein folding simulations with respect to force field parameterization? Biophys J 100:L47–L49
Bratko D, Blanch HW (2003) Effect of secondary structure on protein aggregation: a replica exchange simulation study. J Chem Phys 118:5185–5194
Cellmer T, Bratko D, Prausnitz JM, Blanch H (2005) Protein-folding landscapes in multichain systems. Proc Natl Acad Sci USA 102:11692–11697
Gupta P, Hall CK, Voegler A (1999) Computer simulation of the competition between protein folding and aggregation. Fluid Phase Equilib 160:87–93
Gupta P, Hall CK, Voegler AC (1998) Effect of denaturant and protein concentrations upon protein refolding and aggregation: A simple lattice model. Protein Sci 7:2642–2652
Istrail S, Schwartz R, King J (1999) Lattice simulations of aggregation funnels for protein folding. J Comput Biol 6:143–162
Bratko D, Cellmer T, Prausnitz JM, Blanch HW (2006) Effect of single-point sequence alterations on the aggregation propensity of a model protein. J Am Chem Soc 128:1683–1691
Harrison PM, Chan HS, Prusiner SB, Cohen FE (1999) Thermodynamics of model prions and its implications for the problem of prion protein folding. J Mol Biol 286:593–606
Li MS, Klimov DK, Straub JE, Thirumalai D (2008) Probing the mechanisms of fibril formation using lattice models. J Chem Phys 129:175101
Tozzini V (2010) Minimalist models for proteins: a comparative analysis. Q Rev Biophys 43:333–371
Fawzi NL, Okabe Y, Yap EH, Head-Gordon T (2007) Determining the critical nucleus and mechanism of fibril elongation of the Alzheimer’s A beta(1-40) peptide. J Mol Biol 365:535–550
Yap EH, Fawzi NL, Head-Gordon T (2008) A coarse-grained alpha-carbon protein model with anisotropic hydrogen-bonding. Proteins 70:626–638
Bellesia G, Shea JE (2007) Self-assembly of beta-sheet forming peptides into chiral fibrillar aggregates. J Chem Phys 126(24):245104
Clark LA (2005) Protein aggregation determinants from a simplified model: cooperative folders resist aggregation. Protein Sci 14:653–662
Cellmer T, Bratko D, Prausnitz JM, Blanch H (2005) The competition between protein folding and aggregation: off-lattice minimalist model studies. Biotechnol Bioeng 89:78–87
Nguyen HD, Hall CK (2006) Spontaneous fibril formation by polyalanines; discontinuous molecular dynamics simulations. J Am Chem Soc 128:1890–1901
Nguyen HD, Hall CK (2005) Kinetics of fibril formation by polyalanine peptides. J Biol Chem 280:9074–9082
Nguyen HD, Hall CK (2004) Molecular dynamics simulations of spontaneous fibril formation by random-coil peptides. Proc Natl Acad Sci USA 101:16180–16185
Marchut AJ, Hall CK (2007) Effects of chain length on the aggregation of model polyglutamine peptides: molecular dynamics simulations. Proteins 66:96–109
Cheon M, Chang I, Hall CK (2010) Extending the PRIME model for protein aggregation to all 20 amino acids. Proteins 78:2950–2960
Urbanc B, Borreguero JM, Cruz L, Stanley HE (2006) Ab initio discrete molecular dynamics approach to protein folding and aggregation. Methods Enzymol 412:314–338
Urbanc B, Cruz L, Ding F, Sammond D, Khare S, Buldyrev SV, Stanley HE, Dokholyan NV (2004) Molecular dynamics simulation of Âamyloid beta dimer formation. Biophys J 87:2310–2321
Urbanc B, Cruz L, Yun S, Buldyrev SV, Bitan G, Teplow DB, Stanley HE (2004) In silico study of amyloid beta-protein folding and oligomerization. Proc Natl Acad Sci USA 101:17345–17350
Yun SJ, Urbanc B, Cruz L, Bitan G, Teplow DB, Stanley HE (2007) Role of electrostatic interactions in amyloid beta-protein (A beta) oligomer formation: a discrete molecular dynamics study. Biophys J 92:4064–4077
Ding F, Dokholyan NV (2008) Dynamical roles of metal ions and the disulfide bond in Cu, Zn superoxide dismutase folding and aggregation. Proc Natl Acad Sci USA 105:19696–19701
Ding F, LaRocque JJ, Dokholyan NV (2005) Direct observation of protein folding, aggregation, and a prion-like conformational conversion. J Biol Chem 280:40235–40240
Chen YW, Dokholyan NV (2005) A single disulfide bond differentiates aggregation pathways of beta 2-microglobulin. J Mol Biol 354:473–482
Khare SD, Ding F, Dokholyan NV (2003) Folding of Cu, Zn superoxide dismutase and familial amyotrophic lateral sclerosis. J Mol Biol 334:515–525
Sharma S, Ding F, Dokholyan NV (2008) Probing protein aggregation using discrete molecular dynamics. Front Biosci 13:4795–4807
Hall CK, Waggner VA (2006) Computational approaches to fibril structure and formation. Methods Enzymol 412:338–365
Bellesia G, Shea JE (2009) Diversity of kinetic pathways in amyloid fibril formation. J Chem Phys 131(11):111102
Bellesia G, Shea JE (2009) Effect of beta-sheet propensity on peptide aggregation. J Chem Phys 130(14):145103
Auer S, Dobson CM, Vendruscolo M (2007) Characterization of the nucleation barriers for protein aggregation and amyloid formation. HFSP J 1:137–146
Auer S, Dobson CM, Vendruscolo M, Maritan A (2008) Self-templated nucleation in peptide and protein aggregation. Phys Rev Lett 101(25):258101
Miyazawa S, Jernigan RL (1996) Residue-residue potentials with a favorable contact pair term and an unfavorable high packing density term, for simulation and threading. J Mol Biol 256:623–644
Smith AV, Hall CK (2001) Alpha-helix formation: discontinuous molecular dynamics on an intermediate-resolution protein model. Proteins 44:344–360
Ding F, Borreguero JM, Buldyrey SV, Stanley HE, Dokholyan NV (2003) Mechanism for the alpha-helix to beta-hairpin transition. Proteins 53:220–228
Ding F, Dokholyan NV, Buldyrev SV, Stanley HE, Shakhnovich EI (2002) Molecular dynamics simulation of the SH3 domain aggregation suggests a generic amyloidogenesis mechanism. J Mol Biol 324:851–857
Brown S, Fawzi NJ, Head-Gordon T (2003) Coarse-grained sequences for protein folding and design. Proc Natl Acad Sci USA 100:10712–10717
Sorenson JM, Head-Gordon T (2000) Matching simulation and experiment: a new simplified model for simulating protein folding. J Comput Biol 7:469–481
Kumar S, Bouzida D, Swendsen RH, Kollman PA, Rosenberg JM (1992) The weighted histogram analysis method for free-energy calculations on biomolecules. 1. The method. J Comput Chem 13:1011–1021
Sorenson JM, Head-Gordon T (2002) Protein engineering study of protein L by simulation. J Comput Biol 9:35–54
Guo ZY, Brooks CL (1997) Thermodynamics of protein folding: a statistical mechanical study of a small all-beta protein. Biopolymers 42:745–757
Karplus M, Grant DM (1959) A criterion for orbital hybridization and charge distribution in chemical bonds. Proc Natl Acad Sci USA 45:1269–1273
Cellmer T, Bratko D, Prausnitz JM, Blanch H (2005) Thermodynamics of folding and association of lattice-model proteins. J Chem Phys 122(17):174908
Cecchini M, Rao F, Seeber M, Caflisch A (2004) Replica exchange molecular dynamics simulations of amyloid peptide aggregation. J Chem Phys 121:10748–10756
Takeda T, Klimov DK (2009) Side chain interactions can impede amyloid fibril growth: replica exchange simulations of a beta peptide mutant. J Phys Chem B 113:11848–11857
Takeda T, Klimov DK (2009) Replica exchange simulations of the thermodynamics of a beta fibril growth. Biophys J 96:442–452
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Cellmer, T., Fawzi, N.L. (2012). Coarse-Grained Simulations of Protein Aggregation. In: Voynov, V., Caravella, J. (eds) Therapeutic Proteins. Methods in Molecular Biology, vol 899. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-61779-921-1_27
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DOI: https://doi.org/10.1007/978-1-61779-921-1_27
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