hexABC seeking the physical code of DNA

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Authors: Federica Battistini, Miłosz Wieczór, Marco Pasi, Juan Pablo Arcon, Israel Serrano‐Chacón, Alba Sala, Subhamoy Deb, Agustín García-Doñate, Matthew Burman, Elliot W. Chan, Liwei Chang, Gabriela da Rosa
+21 more Jorge R. Espinosa, Gia Linh Hoang, Kazi Amirul Hossain, Michał Jurkowski, Romain Poupon, Rahul Sharma, Ran Sun, Thomas Connor Bishop, Paolo Carloni, Thomas E. Cheatham, Rosana Collepardo‐Guevara, Jacek Czub, Pablo Daniel Dans, Sarah Anne Harris, Charles A. Laughton, Rodrigo Galindo‐Murillo, John H. Maddocks, Agnes Noy, Alberto Pérez, Daiva Petkevičiūtė-Gerlach, Modesto Orozco
Cited by: 1
References: 112

Abstract

We present a tour de force of atomistic molecular dynamics simulations involving the coordinated effort of 14 research groups of the Ascona B-DNA Consortium (ABC). This initiative provides a complete characterization of the 2080 DNA hexamers embedded in 190 carefully selected 20-mer duplexes, each simulated in replicate for at least 10 microseconds in explicit solvent. The consortium generates 0.25 petabytes of data, capturing millisecond-scale ensembles at the oligomer level and dynamics up to 10−1 seconds at the base-pair level. Analysis yields a comprehensive description of sequence-dependent DNA properties, including rare events such as backbone transitions, reversible base-pair changes, and partial unfolding. Processing these atomistic ensembles reveals a hidden physical code of DNA, helping explain rules of genome composition and evolution beyond coding regions. This community effort delivers unprecedented, validated FAIR data to support coarse-grained and AI models of DNA at cellular scale. DNA’s physical properties are key to gene regulation and protein binding. Here, authors use massive simulations to map all 2,080 unique DNA hexamers, revealing a “physical code” that explains how sequence mechanics shape genome evolution.

Fields of Study & Subjects

DNA and Nucleic Acid Chemistry Advanced biosensing and bioanalysis techniques Diffusion and Search Dynamics

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
24 June 2026
Language
EN