Chromatin image-driven modelling

Michał Kadlof, Krzysztof Banecki, Mateusz Chiliński, Dariusz Plewczynski

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Abstract

The challenge of modelling the spatial conformation of chromatin remains an open problem. While multiple data-driven approaches have been proposed, each has limitations. This work introduces two image-driven modelling methods based on the Molecular Dynamics Flexible Fitting (MDFF) approach: the force method and the correlational method. Both methods have already been used successfully in protein modelling. We propose a novel way to employ them for building chromatin models directly from 3D images. This approach is termed image-driven modelling. Additionally, we introduce the initial structure generator, a tool designed to generate optimal starting structures for the proposed algorithms. The methods are versatile and can be applied to various data types, with minor modifications to accommodate new generation imaging techniques.
OriginalsprogEngelsk
TidsskriftMethods
Vol/bind226
Sider (fra-til)54-60
Antal sider7
ISSN1046-2023
DOI
StatusUdgivet - 2024

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