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Literature DB >> 10038189

Curvature elasticity of pure and mixed surfactant films.

Abstract

Year: 1988 PMID： 10038189 DOI： 10.1103/PhysRevLett.60.1966

Source DB: PubMed Journal: Phys Rev Lett ISSN： 0031-9007 Impact factor: 9.161

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16 in total

1. Effect of membrane characteristics on phase separation and domain formation in cholesterol-lipid mixtures.

Authors: Veena Pata; Nily Dan
Journal: Biophys J Date: 2004-11-12 Impact factor: 4.033

2. Cationic liposome-microtubule complexes: pathways to the formation of two-state lipid-protein nanotubes with open or closed ends.

Authors: Uri Raviv; Daniel J Needleman; Youli Li; Herbert P Miller; Leslie Wilson; Cyrus R Safinya
Journal: Proc Natl Acad Sci U S A Date: 2005-07-29 Impact factor: 11.205

Review 3. Curvature-driven lipid sorting in biomembranes.

Authors: Andrew Callan-Jones; Benoit Sorre; Patricia Bassereau
Journal: Cold Spring Harb Perspect Biol Date: 2011-02-01 Impact factor: 10.005

4. DNA-lipid complexes: stability of honeycomb-like and spaghetti-like structures.

Authors: S May; A Ben-Shaul
Journal: Biophys J Date: 1997-11 Impact factor: 4.033

5. Stabilising lamellar stacks of lipid bilayers with soft confinement and steric effects.

Authors: K Bougis; R Leite Rubim; N Ziane; J Peyencet; A Bentaleb; A Février; C L P Oliveira; E Andreoli de Oliveira; L Navailles; F Nallet
Journal: Eur Phys J E Soft Matter Date: 2015-07-16 Impact factor: 1.890

Review 6. What can machine learning do for antimicrobial peptides, and what can antimicrobial peptides do for machine learning?

Authors: Ernest Y Lee; Michelle W Lee; Benjamin M Fulan; Andrew L Ferguson; Gerard C L Wong
Journal: Interface Focus Date: 2017-10-20 Impact factor: 3.906

Curvature elasticity of pure and mixed surfactant films.

1. Effect of membrane characteristics on phase separation and domain formation in cholesterol-lipid mixtures.

2. Cationic liposome-microtubule complexes: pathways to the formation of two-state lipid-protein nanotubes with open or closed ends.

Review 3. Curvature-driven lipid sorting in biomembranes.

4. DNA-lipid complexes: stability of honeycomb-like and spaghetti-like structures.

5. Stabilising lamellar stacks of lipid bilayers with soft confinement and steric effects.

Review 6. What can machine learning do for antimicrobial peptides, and what can antimicrobial peptides do for machine learning?

7. The phase behavior of cationic lipid-DNA complexes.

8. Scaling relationships for the elastic moduli and viscosity of mixed lipid membranes.

9. Effects of chain unsaturation on the equation of state for lipid monolayers at the air-water interface.

10. Inclusion of lateral pressure/curvature stress effects in implicit membrane models.