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Human mutation field shows equilibrium-like structure with residual non-equilibrium circulation

Researchers have uncovered an equilibrium-like structure within the human mutation field, suggesting that DNA sequence evolution can be largely described by stochastic dynamics on an energy landscape. Using a Siamese neural network, they modeled mutation probabilities and found a high correlation with empirical data, indicating that most mutation bias aligns with this inferred landscape. However, a small but detectable non-equilibrium component was identified, revealing specific directional mutational mechanisms that violate the Kolmogorov cycle condition for detailed balance. AI

IMPACT This research provides a thermodynamic decomposition of mutation bias, potentially informing future genomic analysis and understanding of evolutionary processes.

RANK_REASON Academic paper detailing novel findings in quantitative biology. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Human mutation field shows equilibrium-like structure with residual non-equilibrium circulation

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Academic paper detailing novel findings in quantitative biology. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Isabella Caranzano, Daniel Maria Busiello, Stefano Priorelli, Amos Maritan, Piero Fariselli ·

    Human mutation field reveals an equilibrium-like structure with irreversible circulation

    arXiv:2609.07500v1 Announce Type: cross Abstract: The evolution of DNA sequences can be viewed as stochastic dynamics on a high-dimensional discrete space, but it is unclear when empirical transition biases reduce to an effective energy landscape versus retain irreducible non-equ…