Testing the limits of model membrane simulations-bilayer composition and pressure scaling

2017 ◽  
Vol 39 (8) ◽  
pp. 387-396 ◽  
Author(s):  
Nikoleta Ivanova ◽  
Anela Ivanova
Keyword(s):  
Model Membrane ◽  
Membrane Simulations

Destabilization of a model membrane by a predicted fusion peptide of fertilin α

1998 ◽  
Vol 95 (2) ◽  
pp. 467-473 ◽  
Author(s):  
A. Schanck ◽  
R. Brasseur ◽  
J. Peuvot
Keyword(s):  
Fusion Peptide ◽  
Model Membrane

scholarly journals Does liquid–liquid phase separation drive peptide folding?

2021 ◽  
Author(s):  
Dean N. Edun ◽  
Meredith R. Flanagan ◽  
Arnaldo L. Serrano
Keyword(s):  
Infrared Spectroscopy ◽  
Phase Separation ◽  
Liquid Phase ◽  
Model Membrane ◽  
Peptide Folding ◽  
Two Dimensional ◽  
Intrinsically Disordered ◽  
Intrinsically Disordered Peptide ◽  
Two Dimensional Infrared Spectroscopy ◽  
Liquid Liquid Phase Separation

Two-dimensional infrared spectroscopy reveals folding of an intrinsically disordered peptide when sequestered into a model “membrane-less” organelle.

scholarly journals From Black Box to Machine Learning: A Journey through Membrane Process Modelling

Membranes ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 574
Author(s):  
Claudia F. Galinha ◽  
João G. Crespo
Keyword(s):  
Machine Learning ◽  
Process Modelling ◽  
Model Membrane ◽  
Point Of View ◽  
Personal Perspective ◽  
Process Conditions ◽  
Monitoring And Control ◽  
Membrane Processes ◽  
Mechanistic Modelling ◽  
Process Monitoring And Control

Membrane processes are complex systems, often comprising several physicochemical phenomena, as well as biological reactions, depending on the systems studied. Therefore, process modelling is a requirement to simulate (and predict) process and membrane performance, to infer about optimal process conditions, to assess fouling development, and ultimately, for process monitoring and control. Despite the actual dissemination of terms such as Machine Learning, the use of such computational tools to model membrane processes was regarded by many in the past as not useful from a scientific point-of-view, not contributing to the understanding of the phenomena involved. Despite the controversy, in the last 25 years, data driven, non-mechanistic modelling is being applied to describe different membrane processes and in the development of new modelling and monitoring approaches. Thus, this work aims at providing a personal perspective of the use of non-mechanistic modelling in membrane processes, reviewing the evolution supported in our own experience, gained as research group working in the field of membrane processes. Additionally, some guidelines are provided for the application of advanced mathematical tools to model membrane processes.

scholarly journals Dynamic Response of a Cholesterol-containing Model Membrane to Oxidative Stress

2010 ◽  
Vol 39 (12) ◽  
pp. 1273-1274 ◽  
Author(s):  
Tsuyoshi Yoda ◽  
Mun’delanji C. Vestergaard ◽  
Yoko Akazawa-Ogawa ◽  
Yasukazu Yoshida ◽  
Tsutomu Hamada ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Dynamic Response ◽  
Model Membrane

Amyloid β-peptide interaction with GM1 containing model membrane

2020 ◽  
pp. 1-24
Author(s):  
Rita Carrotta ◽  
Fabio Librizzi ◽  
Maria Rosalia Mangione ◽  
Silvia Vilasi ◽  
Oscar Moran
Keyword(s):  
Amyloid Β ◽  
Model Membrane ◽  
Amyloid Β Peptide ◽  
Peptide Interaction

scholarly journals Effect of Shiga Toxin on Inhomogeneous Biological Membrane Structure Determined by Small-Angle Scattering

2021 ◽  
Vol 11 (15) ◽  
pp. 6965
Author(s):  
Shuyang Tu ◽  
Haijiao Zhang ◽  
Yawen Li ◽  
Yongchao Zhang ◽  
Qiang Tian ◽  
...  
Keyword(s):  
Small Angle ◽  
Shiga Toxin ◽  
Biological Membrane ◽  
Practical Method ◽  
Small Angle Scattering ◽  
Model Membrane ◽  
Membrane Thickness ◽  
Membrane Structures ◽  
Lipid Complex ◽  
Angle Scattering

Inhomogeneous structure occurring in biological membranes being rich in glycosphingolipids (GSL) has been proposed as an important phenomenon involved in the cellular endocytosis process. However, little is known about the correlation between the formation of microdomains and the GSL-dependent biogenesis for tubular endocytic pits occurred on the surface of the cellular membrane. In the present work, the interaction between the bacterial Shiga toxin from Escherichia coli (STxB) and its cellular receptor GSL globotriaosylceramide (Gb3) were studied using small unilamellar vesicle (SUV). The model membrane invagination induced by STxB was determined by the contrast variation small-angle neutron scattering (SANS) and the synchrotron radiation facility based small-angle X-ray scattering (SR-SAXS). The results revealed that Gb3 molecules provided the binding sites for STxB, inducing increased membrane fluctuation. The formation of protein–lipid complex (STxB-Gb3) apparently induced the thinning of model membrane with the thickness decreased from 3.10 nm to 2.50 nm. It is the first time to successfully characterize the mesoscopic change on membrane thickness upon GSL-dependent endocytic process using a small-angle scattering technique. Overall, this paper provided a practical method to quantify the inhomogeneous biological membrane structures, which is important to understand the cellular endocytosis process.

Sign in / Sign up

Export Citation Format

Share Document