ArticlePhysical biology2012
A method for computing association rate constants of atomistically represented proteins under macromolecular crowding.
Article in Physical biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- A Bead-Based Quantum Dot Immunoassay Integrated with Multi-Module Microfluidics Enables Real-Time Multiplexed Detection of Blood Insulin and Glucagon.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Preferential Interactions of a Crowder Protein with the Specific Binding Site of a Native Protein Complex.The journal of physical chemistry letters · 2022Article
- A fluorescence sandwich immunoassay for the real-time continuous detection of glucose and insulin in live animals.Nature biomedical engineering · 2021Article
- Modeling Electrostatic Force in Protein-Protein Recognition.Frontiers in molecular biosciences · 2019Article
- Electrostatic Interactions in Protein Structure, Folding, Binding, and Condensation.Chemical reviews · 2018Review
- Crowding in Cellular Environments at an Atomistic Level from Computer Simulations.The journal of physical chemistry. B · 2017Article
- Protein folding, binding, and droplet formation in cell-like conditions.Current opinion in structural biology · 2017Review
- Challenges in structural approaches to cell modeling.Journal of molecular biology · 2016Review
- Theory of Crowding Effects on Bimolecular Reaction Rates.The journal of physical chemistry. B · 2016Article
- Nonmonotonic diffusion of particles among larger attractive crowding spheres.Physical review letters · 2014Article
- Macromolecular crowding as a regulator of gene transcription.Biophysical journal · 2014Article
- Modeling protein association mechanisms and kinetics.Current opinion in structural biology · 2013Review
- Effects of Macromolecular Crowding on the Conformational Ensembles of Disordered Proteins.The journal of physical chemistry letters · 2013Article
- Reaching new levels of realism in modeling biological macromolecules in cellular environments.Journal of molecular graphics & modelling · 2013Review
- Folding free energy surfaces of three small proteins under crowding: validation of the postprocessing method by direct simulation.Physical biology · 2013Article
- Simulation and Modeling of Crowding Effects on the Thermodynamic and Kinetic Properties of Proteins with Atomic Details.Biophysical reviews · 2013Article
- Looking for a promoter in 3D.Nature structural & molecular biology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
In cellular environments, two protein molecules on their way to form a specific complex encounter many bystander macromolecules. The latter molecules, or crowders, affect both the energetics of the interaction between the test molecules and the dynamics of their relative motion. In earlier work (Zhou and Szabo 1991 J. Chem. Phys. 95 5948-52), it has been shown that, in modeling the association kinetics of the test molecules, the presence of crowders can be accounted for by their energetic and dynamic effects. The recent development of the transient-complex theory for protein association in dilute solutions makes it possible to easily incorporate the energetic and dynamic effects of crowders. The transient complex refers to a late on-pathway intermediate, in which the two protein molecules have near-native relative separation and orientation, but have yet to form the many short-range specific interactions of the native complex. The transient-complex theory predicts the association rate constant as k(a) = k(a0)exp(-ΔG*(el)/k(B)T), where k(a0) is the 'basal' rate constant for reaching the transient complex by unbiased diffusion, and the Boltzmann factors captures the influence of long-range electrostatic interactions between the protein molecules. Crowders slow down the diffusion, therefore reducing the basal rate constant (to k(ac0)), and induce an effective interaction energy ΔG(c). We show that the latter interaction energy for atomistic proteins in the presence of spherical crowders is 'long'-ranged, allowing the association rate constant under crowding to be computed as k(ac) = k(ac0)exp[-(ΔG*(el) + ΔG*(c))/k(B)T]. Applications demonstrate that this computational method allows for realistic modeling of protein association kinetics under crowding.
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.