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Biology and the measurement problem.

R Rosen1

  • 1Department of Physiology & Biophysics, Dalhousie University, Halifax, Nova Scotia, Canada B3L 3H7.

Computers & Chemistry
|March 1, 1996
PubMed
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This study proposes a quantum mechanical view of genetic information, challenging the classical DNA sequence paradigm. It suggests microphysical processes and quantum measurement are crucial for understanding biological information beyond traditional algorithms.

Area of Science:

  • Quantum Biology
  • Molecular Biology
  • Theoretical Physics

Background:

  • Current molecular biology largely employs a classical, macroscopic model, neglecting quantum effects.
  • Genetic information is predominantly equated with DNA sequence, analogous to software or programs.
  • This classical view overlooks potential roles of microphysical processes in primary genetic functions.

Purpose of the Study:

  • To propose an alternative framework for understanding genetic information through quantum mechanics.
  • To investigate the role of microphysical processes and quantum measurement in biological systems.
  • To challenge the classical DNA sequence metaphor for genetic information.

Main Methods:

  • Conceptual analysis integrating quantum mechanics principles with biological systems.

Related Experiment Videos

  • Analogizing quantum measurement problems to the genome-observer (phenotype) relationship.
  • Introducing the concept of 'sites' as subsystems without classical Hamiltonians.
  • Main Results:

    • Genetic information may be conveyed through observables evaluated on quantum states, not just DNA sequence.
    • Standard quantum mechanics may be insufficient for biological systems due to their non-classical nature.
    • Biological activities may not be reducible to traditional in vitro physical observables.

    Conclusions:

    • A quantum-centric view offers a richer understanding of genetic information than classical computation models.
    • Quantum measurement processes are potentially fundamental to biology, rendering classical computability inadequate.
    • Rethinking genetic information requires embracing quantum principles and their unique implications for life.