Please use this identifier to cite or link to this item:
https://hdl.handle.net/2445/221185
Title: | CGeNArateWeb: a web server for the atomistic study of the structure and dynamics of chromatin fibers |
Author: | Farré Gil, David Bayarri Sarda, Genis Laughton, Charles A. Hospital Gasch, Adam Orozco López, Modesto |
Keywords: | Computational biology Cromatina Servidors web Biologia computacional Chromatin |
Issue Date: | 10-May-2025 |
Publisher: | Oxford University Press |
Abstract: | We present CGeNArateWeb, a new web tool for the three-dimensional simulation of naked DNA and protein-bound chromatin fibers. The server allows the user to obtain a dynamic representation of long segments of linear, circular, or protein–DNA segments thanks to a Langevin dynamics coarse-grained (CG) model working with a machine-learning (ML) fitted C1′-resolution Hamiltonian. The CG trajectories can be back-mapped to atomistic resolution using another ML algorithm trained on a large database of molecular dynamics (MD) simulations. The method allows the user to get structural and dynamic information on large (kilobase range) portions of both protein-bound and free DNA, to transform conceptual cartoons into structural and dynamical models. Trajectories are analyzed using an extensive set of nucleic acid-specific analysis tools, and the results are displayed using a powerful and flexible graphic interface. The web tool uses state-of-the-art technologies such as (i) Docker components orchestrated by Docker Swarm, with containers deployed on demand for computations, (ii) WebGL-programmed NGL molecular viewer and the JavaScript plotly library for interactive plots, and (iii) noSQL-MongoDB for storage. The server is accessible at https://mmb.irbbarcelona.org/CGNAW/. The web tool is free and open to all users, and there are no login requirements. |
Note: | Reproducció del document publicat a: https://doi.org/10.1093/nar/gkaf371 |
It is part of: | Nucleic Acids Research, 2025 |
URI: | https://hdl.handle.net/2445/221185 |
Related resource: | https://doi.org/10.1093/nar/gkaf371 |
ISSN: | 1362-4962 |
Appears in Collections: | Articles publicats en revistes (Institut de Recerca Biomèdica (IRB Barcelona)) |
Files in This Item:
File | Description | Size | Format | |
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NAR_Farre_2025.pdf | 1.12 MB | Adobe PDF | View/Open |
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