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Biological computation

S Brenner1

  • 1Molecular Sciences Research Institute Inc., La Jolla, CA 92037, USA.

Novartis Foundation Symposium
|July 8, 1998
PubMed
Summary
This summary is machine-generated.

Biological systems function as sophisticated computing devices, processing information through gene-protein interactions. This perspective offers a framework for computational analysis and simulation of biological processes.

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Area of Science:

  • Computational Biology
  • Systems Biology
  • Bioinformatics

Background:

  • Biological systems store and retrieve information via genetic material.
  • Genes encode protein properties, not direct system-level functions.
  • System-wide integrative properties arise from molecular interactions.

Purpose of the Study:

  • To propose a computational framework for analyzing biological systems.
  • To explore the implications of viewing biological systems as computing devices.
  • To define the scope and limitations of reductionist models in biology.

Main Methods:

  • Conceptual analysis of information flow in genetic systems.
  • Information theory applied to gene-protein encoding.
  • Simulation-based analysis framework development.

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Main Results:

  • Biological systems can be conceptualized as specialized computing devices.
  • Gene interactions compute emergent system properties.
  • Reductionist models have inherent limitations in capturing system complexity.

Conclusions:

  • Viewing biological systems as computing devices provides a powerful analytical paradigm.
  • Computational approaches, including simulation, are essential for understanding complex biological systems.
  • The inherent properties of genetic information storage necessitate a computational perspective.