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))

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