CGeNArateWeb: a web server for the atomistic study of the structure and dynamics of chromatin fibers

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.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2025-05-10
DOI
https://doi.org/10.1093/nar/gkaf371
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CGeNArateWeb: a web server for the atomistic study of the structure and dynamics of chromatin fibers

Modesto Orozco, Charles A. Laughton, Genís Bayarri, David Farré-Gil
Nucleic Acids Research
Genomics and Chromatin Dynamics
article

CGeNArateWeb: a web server for the atomistic study of the structure and dynamics of chromatin fibers

Modesto Orozco, Charles A. Laughton, Genís Bayarri, David Farré-Gil
article en

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.

Nucleic Acids ResearchVol. 53(W1)
University of Nottingham (GB), Institute for Research in Biomedicine (ES), Institute of Science and Technology, Universitat de Barcelona (ES)
European Commission, Ministerio de Ciencia e Innovación, Dirección para el Desarrollo de la Ciencia y el Conocimiento, Agència de Gestió d'Ajuts Universitaris i de Recerca, European Regional Development Fund
Openalex Percentile: Top 91%
Genomics and Chromatin Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.