hexABC seeking the physical code of DNA

Area of Science:

• Structural Biology
• Computational Biology
• Genomics

Background:

• Understanding DNA structure-property relationships is crucial for deciphering genomic functions.
• Previous simulations lacked the scale and duration to capture rare DNA dynamics.

Purpose of the Study:

• To comprehensively characterize DNA hexamers using atomistic molecular dynamics simulations.
• To uncover the sequence-dependent physical code governing DNA behavior.
• To generate a large, validated dataset for DNA modeling.

Main Methods:

• Atomistic molecular dynamics simulations of 2080 DNA hexamers within 190 duplexes.
• Simulations run in replicate for at least 10 microseconds in explicit solvent.
• Generation and analysis of 0.25 petabytes of simulation data.

Main Results:

• Detailed characterization of sequence-dependent DNA properties.
• Observation of rare events like backbone transitions and base-pair changes.
• Identification of a physical code influencing genome composition and evolution.

Conclusions:

• The study reveals a hidden physical code in DNA, impacting genome evolution.
• The generated FAIR data is a valuable resource for coarse-grained and AI models of DNA.
• This large-scale simulation effort advances our understanding of DNA dynamics and function.