Many biological cellular processes occur at the micro- or millisecond time scale. With traditional all-atom molecular modeling techniques it is difficult to investigate the dynamics of long time scales or large systems, such as protein aggregation or activation. Coarse graining (CG) can be used to reduce the number of degrees of freedom in such a system, and reduce the computational complexity. In this paper the first version of a coarse grained model for transmembrane proteins is presented. This model differs from other coarse grained protein models due to the introduction of a novel angle potential as well as a hydrogen bonding potential. These new potentials are used to stabilize the backbone. The model has been validated by investigating the adaptation of the hydrophobic mismatch induced by the insertion of WALP-peptides into a lipid membrane, showing that the first step in the adaptation is an increase in the membrane thickness, followed by a tilting of the peptide.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2904924PMC
http://dx.doi.org/10.3390/ijms11062393DOI Listing

Publication Analysis

Top Keywords

coarse grained
12
coarse
4
grained molecular
4
molecular dynamics
4
dynamics simulations
4
simulations transmembrane
4
transmembrane protein-lipid
4
protein-lipid systems
4
systems biological
4
biological cellular
4

Similar Publications

Dynamic density functional theory (DDFT) is a fruitful approach for modeling polymer dynamics, benefiting from its multiscale and hybrid nature. However, the Onsager coefficient, the only free parameter in DDFT, is primarily derived empirically, limiting the accuracy and broad application of DDFT. Herein, we propose a machine learning-based, bottom-up workflow to directly extract the Onsager coefficient from molecular simulations, circumventing partly heuristic assumptions in traditional approaches.

View Article and Find Full Text PDF

Uncovering dissipation from coarse observables: A case study of a random walk with unobserved internal states.

J Chem Phys

January 2025

Department of Chemistry and Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas 78712, USA.

Inferring underlying microscopic dynamics from low-dimensional experimental signals is a central problem in physics, chemistry, and biology. As a trade-off between molecular complexity and the low-dimensional nature of experimental data, mesoscopic descriptions such as the Markovian master equation are commonly used. The states in such descriptions usually include multiple microscopic states, and the ensuing coarse-grained dynamics are generally non-Markovian.

View Article and Find Full Text PDF

Mechanism exploration of intestinal mucus penetration of nano-se: Regulated by polysaccharides with different functional groups and molecular weights.

J Control Release

January 2025

State Key Laboratory of Food Science and Resources, China-Canada Joint Lab of Food Science and Technology (Nanchang), Key Laboratory of Bioactive Polysaccharides of Jiangxi Province, Nanchang University, Nanchang 330047, China.

Selenium deficiency associated with a high risk of many diseases remains a global challenge. Owing to the narrow margin between "nutrition-toxicity" doses of selenium, it is imperative to achieve accurate selenium supplement. Nano‑selenium (SeNPs) is a novel form of selenium supplement with low toxicity, but it could be trapped and removed by intestinal mucus, thus limiting its oral delivery.

View Article and Find Full Text PDF

Biomolecular condensation lays the foundation of forming biologically important membraneless organelles, but abnormal condensation processes are often associated with human diseases. Ribonucleic acid (RNA) plays a critical role in the formation of biomolecular condensates by mediating the phase transition through its interactions with proteins and other RNAs. However, the physicochemical principles governing RNA phase transitions, especially for short RNAs, remain inadequately understood.

View Article and Find Full Text PDF

Plasma membrane (PM) simulations at longer length and time scales at nearly atomistic resolution can provide invaluable insights into cell signaling, apoptosis, lipid trafficking, and lipid raft formation. We propose a coarse-grained (CG) model of a mammalian PM considering major lipid head groups distributed asymmetrically across the membrane bilayer and validate the model against bilayer structural properties from atomistic simulation. Using the proposed CG model, we identify a recurring pattern in the passive collective cholesterol transbilayer motion and study the individual cholesterol flip-flop events and associated pathways along with lateral ordering in the bilayer during a flip-flop event.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!