ArticleThe journal of physical chemistry. B2013
Coarse-grained model for colloidal protein interactions, B(22), and protein cluster formation.
Article in The journal of physical chemistry. B, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- From Intermolecular Poses to Thermodynamics Using Subdivided Spheres.The journal of physical chemistry. B · 2026Article
- Review
- ATP and Tri-Polyphosphate (TPP) Suppress Protein Aggregate Growth by a Supercharging Mechanism.Biomedicines · 2021Article
- Calculation of Second Virial Coefficients of Atomistic Proteins Using Fast Fourier Transform.The journal of physical chemistry. B · 2019Article
- Recent Advances in Coarse-Grained Models for Biomolecules and Their Applications.International journal of molecular sciences · 2019Review
- Evaluating the Effects of Hinge Flexibility on the Solution Structure of Antibodies at Concentrated Conditions.Journal of pharmaceutical sciences · 2019Article
- Biophysical characterization and molecular simulation of electrostatically driven self-association of a single-chain antibody.Protein science : a publication of the Protein Society · 2018Article
- Predicting Protein-Protein Interactions of Concentrated Antibody Solutions Using Dilute Solution Data and Coarse-Grained Molecular Models.Journal of pharmaceutical sciences · 2018Article
- Communication: Predicting virial coefficients and alchemical transformations by extrapolating Mayer-sampling Monte Carlo simulations.The Journal of chemical physics · 2017Article
- A New Mixed All-Atom/Coarse-Grained Model: Application to Melittin Aggregation in Aqueous Solution.Journal of chemical theory and computation · 2017Article
- Effect of the surface charge distribution on the fluid phase behavior of charged colloids and proteins.The Journal of chemical physics · 2016Article
- Predicting unfolding thermodynamics and stable intermediates for alanine-rich helical peptides with the aid of coarse-grained molecular simulation.Biophysical chemistry · 2016Article
- Modulating non-native aggregation and electrostatic protein-protein interactions with computationally designed single-point mutations.Protein engineering, design & selection : PEDS · 2016Article
- Role of anisotropic interactions for proteins and patchy nanoparticles.The journal of physical chemistry. B · 2014Article
- Review
- An accelerated surface-mediated stress assay of antibody instability for developability studies.mAbsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Reversible protein cluster formation is an important initial step in the processes of native and non-native protein aggregation, but involves relatively long time and length scales for detailed atomistic simulations and extensive mapping of free energy landscapes. A coarse-grained (CG) model is presented to semiquantitatively characterize the thermodynamics and key configurations involved in the landscape for protein oligomerization, as well as experimental measures of interactions such as the osmotic second virial coefficient (B22). Based on earlier work (Grüenberger et al., J. Phys. Chem. B 2013, 117, 763), this CG model treats proteins as rigid bodies composed of one bead per amino acid, with each amino acid having specific parameters for its size, hydrophobicity, and charge. The net interactions are a combination of steric repulsions, short-range attractions, and screened long-range charge-charge interactions. Model parametrization was done by fitting simulation results against experimental value of B22 as a function of solution ionic strength for α-chymotrypsinogen A and γD-Crystallin (gD-Crys). The CG model is applied to characterize the pairwise interactions and dimerization of gD-Crys and the dependence on temperature, protein concentration, and ionic strength. The results illustrate that at experimentally relevant conditions where stable dimers do not form, the entropic contributions are predominant in the free-energy of protein cluster formation and colloidal protein interactions, arguing against interpretations that treat B22 primarily from energetic considerations alone. Additionally, the results suggest that electrostatic interactions help to modulate the population of the different stable configurations for protein nearest-neighbor pairs, while short-range attractions determine the relative orientations of proteins within these configurations. Finally, simulation results are combined with Principal Component Analysis to identify those amino-acids/surface patches that form interprotein contacts at conditions that favor dimerization of gD-Crys. The resulting regions agree with previously found aggregation-prone sites, as well as suggesting new ones that may be important.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.