On the determinants of residence times and dissociation mechanisms of complexes of interleukin-13 with its low and high affinity receptors
Herb, N.; Brajkovic, M.; DArrigo, G.; Kokh, D. B.; Wade, R. C.
Show abstract
Interleukin-13 (IL-13) is an immunomodulatory cell signaling cytokine that has been implicated in neurodegenerative disease and chronic inflammation. IL-13 binds to its low and high affinity receptors, IL-13 receptor 1 (IL-13R1) and IL-13 receptor 2 (IL-13R2), respectively, with residence times that vary accordingly. As the binding kinetics of the cytokine-receptor complexes influence cellular responses, we employed the molecular dynamics (MD) simulation-based{tau} -random acceleration molecular dynamics method ({tau}RAMD) to compute relative residence times for wild-type (WT) IL-13 and 19 IL-13 mutants to the two receptors. Comparison with experimental kinetic data shows that the{tau} RAMD computations capture the trends in residence times. Analysis of simulated dissociation trajectories of the cytokine-receptor complexes reveals two distinct dissociation pathways of IL-13 from each of the receptors. This study thus pinpoints key determinants of the interaction of IL-13 with its receptors which could be targeted for therapeutic design. Statement of SignificanceCytokines are regulatory proteins that bind to cell surface receptors and thereby send signals to the cellular interior. Interleukin-13 (IL-13) is a cytokine that has a low and a high affinity receptor. It has important physiological roles, and its deregulation is involved in diseases such as atopic dermatitis and asthma. We employed a molecular dynamics simulation-based method to compute the effects of changes in the sequence of IL-13 on the lifetimes of complexes of IL-13 and its receptors. Comparison with experiments supports the validity of the computational approach and analysis of the simulations reveals two distinct ways in which IL-13 dissociates from each receptor. These results thus provide a map for targeting IL-13 - receptor interactions for the design of therapeutics.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Molecular dynamics study of differential effects of serotonin-2A-receptor (5-HT2AR) modulators 93%
- Conformational plasticity and dynamic interactions of the N-terminal domain of the chemokine receptor CXCR1 92%
- Large-scale, dynamin-like motions of the human guanylate binding protein 1 revealed by multi-resolution simulations 92%
Similar papers in this journal
- A variational method for efficient estimation of diffusion and free-energy profiles along collective variables 94%
- Exploring Conformational Transition of 2019 Novel Coronavirus Spike Glycoprotein Between Its Closed and Open States Using Molecular Dynamics Simulations 93%
- A model of protein folding with multiple native states:Metamorphicity, Intrinsic disorderness and folding uponbinding of proteins 93%
Similar papers in this journal
- Curvature increases permeability of the plasma membrane for ions, water and the anti-cancer drugs cisplatin and gemcitabine 95%
- The Hidden Potential of PDE4 Inhibitor Rolipram: A Multifaceted Examination of its Inhibition of MMP2/9 Reveals Therapeutic Implications 94%
- Studying the effect of lockdown using epidemiological modelling of COVID-19 and a quantum computational approach using the Ising spin interaction 94%
Similar papers in this journal
- Enhanced Sampling on Domain/Motif Level with Kinetic Accelerated Molecular Dynamics 95%
- The N501Y and K417N mutations in the spike protein of SARS-CoV-2 alter the interactions with both hACE2 and human derived antibody: A Free energy of perturbation study 94%
- Structural, Thermodynamic, and Dynamic Descriptors for Differential Mechanism of HIF-2 Activity Modulators 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.