Literature DB >> 36197492

A Review of Mechanics-Based Mesoscopic Membrane Remodeling Methods: Capturing Both the Physics and the Chemical Diversity.

Gaurav Kumar1, Satya Chaithanya Duggisetty1, Anand Srivastava2.   

Abstract

Specialized classes of proteins, working together in a tightly orchestrated manner, induce and maintain highly curved cellular and organelles membrane morphology. Due to the various experimental constraints, including the resolution limits of imaging techniques, it is non-trivial to accurately elucidate interactions among the various components involved in membrane deformation. The spatial and temporal scales of the systems also make it formidable to investigate them using simulations with molecular details. Interestingly, mechanics-based mesoscopic models have been used with great success in recapitulating the membrane deformations observed in experiments. In this review, we collate together and discuss the various mechanics-based mesoscopic models for protein-mediated membrane deformation studies. In particular, we provide an elaborate description of a mesoscopic model where the membrane is modeled as a triangulated sheet and proteins are represented as either nematics or filaments. This representation allows us to explore the various aspects of protein-protein and protein-membrane interactions as well as examine the underlying mechanistic pathways for emergent behavior such as curvature-mediated protein localization and membrane deformation. We also put forward current efforts in the field towards back-mapping these mesoscopic models to finer-grained particle-based models-a framework that could be used to explore how molecular interactions propagate to physical scales and vice-versa. We end the review with an integrative-modeling-based road map where experimental imaging micrograph and biochemical data are combined with mesoscopic and molecular simulations methods in a theoretically consistent manner to faithfully recapitulate the multiple length and time scales in the membrane remodeling processes.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Backmapping and molecular reconstruction; Curvature proteins; Membrane Remodeling; Mesoscopic Modeling; Protein–protein interactions

Year:  2022        PMID: 36197492     DOI: 10.1007/s00232-022-00268-4

Source DB:  PubMed          Journal:  J Membr Biol        ISSN: 0022-2631            Impact factor:   2.426


  83 in total

1.  A second generation mesoscopic lipid bilayer model: connections to field-theory descriptions of membranes and nonlocal hydrodynamics.

Authors:  Gary S Ayton; J Liam McWhirter; Gregory A Voth
Journal:  J Chem Phys       Date:  2006-02-14       Impact factor: 3.488

2.  Thermodynamic uncertainty relation for biomolecular processes.

Authors:  Andre C Barato; Udo Seifert
Journal:  Phys Rev Lett       Date:  2015-04-15       Impact factor: 9.161

3.  Tubulation and aggregation of spherical nanoparticles adsorbed on vesicles.

Authors:  Amir Houshang Bahrami; Reinhard Lipowsky; Thomas R Weikl
Journal:  Phys Rev Lett       Date:  2012-10-31       Impact factor: 9.161

4.  Membrane morphologies induced by mixtures of arc-shaped particles with opposite curvature.

Authors:  Francesco Bonazzi; Carol K Hall; Thomas R Weikl
Journal:  Soft Matter       Date:  2020-04-09       Impact factor: 3.679

Review 5.  Cellular functions and intrinsic attributes of the ATP-binding Eps15 homology domain-containing proteins.

Authors:  Soumya Bhattacharyya; Thomas J Pucadyil
Journal:  Protein Sci       Date:  2020-04-11       Impact factor: 6.725

6.  Confined filaments in soft vesicles - the case of sickle red blood cells.

Authors:  Arabinda Behera; Gaurav Kumar; Anirban Sain
Journal:  Soft Matter       Date:  2020-01-02       Impact factor: 3.679

7.  Flexible pivoting of dynamin pleckstrin homology domain catalyzes fission: insights into molecular degrees of freedom.

Authors:  Krishnakanth Baratam; Kirtika Jha; Anand Srivastava
Journal:  Mol Biol Cell       Date:  2021-05-12       Impact factor: 4.138

8.  Scaffolding the cup-shaped double membrane in autophagy.

Authors:  Amir Houshang Bahrami; Mary G Lin; Xuefeng Ren; James H Hurley; Gerhard Hummer
Journal:  PLoS Comput Biol       Date:  2017-10-24       Impact factor: 4.475

9.  Metainference: A Bayesian inference method for heterogeneous systems.

Authors:  Massimiliano Bonomi; Carlo Camilloni; Andrea Cavalli; Michele Vendruscolo
Journal:  Sci Adv       Date:  2016-01-22       Impact factor: 14.136

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