Posts by Ankush Checkervarty published at ITN SNAL - Marie Curie Initial Training Network

Formation and Stabilization of Pores in Bilayer Membranes by Peptide-like Amphiphilic Polymers

Ankush Checkervarty — Wed, 21 Mar 2018 13:26:12 +0000

Soft matter, 2018, DOI: 10.1039/C7SM02404E, Ankush Checkervarty, Marco Werner, and Jens Uwe Sommer We study pore formation in models of lipid-bilayer membranes interacting with amphiphilic copolymers mimicking anti-microbial peptides using Monte Carlo simulations and we rationalize our results by a simple brush-model for the fluid membrane. In our study a weak tension on the membrane is required to observe pore-formation induced by the adsorption of flexible amphiphilic copolymers. The copolymers enhance the pore stability by decreasing the line tension due to weak adsorption along the rim of the pore. Pore formation is enhanced with increasing length of copolymers or stronger

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Training in Dresden

Ankush Checkervarty — Wed, 28 Dec 2016 16:27:03 +0000

An idea not yet presented is as ineffective as no idea. As almost all the ESRs were reaching the mid term of their Phd projects, they were required to present the ideas that they have learnt and results they have obtained after finishing the half time of their project. All ESRs presented briefly the research, which they had conducted before and after the start of SNAL, to Regional Officers from the Europeans Commission which is funding SNAL. Both Regional officers quite enthusiastically expressed their fascination by efficiency of ESRs and the management of the project, also suggesting improvements which could be made

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ESR3-D: Monte Carlo simulations of lipid membranes and their interactions with copolymers

Ankush Checkervarty — Thu, 05 Dec 2013 14:48:06 +0000

Theoretical physics, theory in soft matter, computer simulations Contact Ankush Checkervarty Objectives The challenge of this project is to rationalize the inter effective interactions between amphiphilic copolymers and self-organized lipid bilayer membranes using coarse-grained Monte Carlo methods: Analyze the effect of many copolymers interacting with a fluctuating membrane Finding copolymer sequences which match particular tasks such as increasing permeation or disruption Simulating membranes with internal stiffness to understand the role of phases in membrane-polymer-interactions Tasks and methodology Implementing simulation methods (BFM) for membrane-polymer systems based on existing framework and using GPU-code. Using evolutionary methods to search for optimal copolymer sequences. Developing

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