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The molecular orbital theory describes the distribution of electrons in molecules in a manner similar to the distribution of electrons in atomic orbitals. The region of space in which a valence electron in a molecule is likely to be found is called a molecular orbital. Mathematically, the linear combination of atomic orbitals (LCAO) generates molecular orbitals. Combinations of in-phase atomic orbital wave functions result in regions with a high probability of electron density, while...
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DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
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Molecular logic and computing.

A Prasanna de Silva1, Seiichi Uchiyama

  • 1School of Chemistry and Chemical Engineering, Queen's University, Belfast BT9 5AG, Northern Ireland. a.desilva@qub.ac.uk

Nature Nanotechnology
|July 26, 2008
PubMed
Summary

Molecular logic systems act as tiny computers, processing chemical inputs to produce outputs. These systems offer advantages in life sciences for sensing and diagnostics due to their small size.

Area of Science:

  • Chemistry and computational science
  • Molecular computing and nanotechnology

Background:

  • Life's success is linked to long-term information processing, predating modern computing.
  • Molecular substrates function as computational devices, processing inputs via logical operators.
  • Simple logic operations are present in natural chemical phenomena and can be engineered.

Purpose of the Study:

  • To explore the concept of molecular logic systems as computational devices.
  • To highlight the potential of molecular logic in the life sciences.
  • To discuss the advantages of molecular systems over conventional electronics.

Main Methods:

  • Identifying and analyzing logic operations within chemical reactions and designed systems.
  • Investigating the integration of molecular logic for arithmetic processing.

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  • Exploring the reconfigurable nature of molecular logic systems.

    • Main Results:

    • Molecular logic systems can perform basic logic operations and some arithmetic processing.
    • These systems demonstrate advantageous small size for life science applications.
    • Molecular logic enables sophisticated chemical sensing and intelligent diagnostics.

    Conclusions:

    • Molecular logic systems represent a powerful paradigm for computation at the molecular level.
    • Their application in life sciences, particularly for intracellular sensing and diagnostics, is highly promising.
    • Molecular computing offers a distinct advantage over semiconductor technology in specific areas.