ArticleBiochimica et biophysica acta2014
Implicit membrane treatment of buried charged groups: application to peptide translocation across lipid bilayers.
Article in Biochimica et biophysica acta, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Advances in molecular dynamics approaches for investigating cell-penetrating peptides.Biophysical reviews · 2026Review
- Implicit model to capture electrostatic features of membrane environment.PLoS computational biology · 2024Article
- Recent Advances of Studies on Cell-Penetrating Peptides Based on Molecular Dynamics Simulations.Cells · 2022Review
- How well does molecular simulation reproduce environment-specific conformations of the intrinsically disordered peptides PLP, TP2 and ONEG?Chemical science · 2022Article
- Biophysical Insight on the Membrane Insertion of an Arginine-Rich Cell-Penetrating Peptide.International journal of molecular sciences · 2019Article
- Heterogeneous Dielectric Implicit Membrane Model for the Calculation of MMPBSA Binding Free Energies.Journal of chemical information and modeling · 2019Article
- Membrane-Induced p KJournal of chemical theory and computation · 2018Article
- Spontaneous Membrane Translocating Peptides: The Role of Leucine-Arginine Consensus Motifs.Biophysical journal · 2017Article
- Spontaneous membrane-translocating peptides: influence of peptide self-aggregation and cargo polarity.Scientific reports · 2015Article
- Structural and Thermodynamic Insight into Spontaneous Membrane-Translocating Peptides Across Model PC/PG Lipid Bilayers.The Journal of membrane biology · 2015Article
- Membrane permeation of a peptide: it is better to be positive.The journal of physical chemistry. B · 2015Article
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Authors and funding
3 authors.
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Abstract
The energetic cost of burying charged groups in the hydrophobic core of lipid bilayers has been controversial, with simulations giving higher estimates than certain experiments. Implicit membrane approaches are usually deemed too simplistic for this problem. Here we challenge this view. The free energy of transfer of amino acid side chains from water to the membrane center predicted by IMM1 is reasonably close to all-atom free energy calculations. The shape of the free energy profile, however, for the charged side chains needs to be modified to reflect the all-atom simulation findings (IMM1-LF). Membrane thinning is treated by combining simulations at different membrane widths with an estimate of membrane deformation free energy from elasticity theory. This approach is first tested on the voltage sensor and the isolated S4 helix of potassium channels. The voltage sensor is stably inserted in a transmembrane orientation for both the original and the modified model. The transmembrane orientation of the isolated S4 helix is unstable in the original model, but a stable local minimum in IMM1-LF, slightly higher in energy than the interfacial orientation. Peptide translocation is addressed by mapping the effective energy of the peptide as a function of vertical position and tilt angle, which allows identification of minimum energy pathways and transition states. The barriers computed for the S4 helix and other experimentally studied peptides are low enough for an observable rate. Thus, computational results and experimental studies on the membrane burial of peptide charged groups appear to be consistent. This article is part of a Special Issue entitled: Interfacially Active Peptides and Proteins. Guest Editors: William C. Wimley and Kalina Hristova.
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