Enzymes and theoretical biology: sketch of an informational perspective of the cell.

In the theoretical scenarios of biology, new insights can be gained by the introduction of information-processing and artificial intelligence concepts, helping to organize the explanation of the many intra- and inter-cellular phenomena that molecular biology is accumulating. Enzymes contain some of the immediate clues; the whole informational processing of prokaryotic cells is another central subject of search. Additionally, prolonging the informational perspective of the cell, a significant parallel can be drawn between informational processes in biological, social and artificial intelligence systems. A more tangible definition of biological complexity and biological intelligence emerges.

[1]  R. Beer,et al.  Intelligence as Adaptive Behavior: An Experiment in Computational Neuroethology , 1990 .

[2]  F. Jacob The logic of life : a history of heredity , 1976 .

[3]  James A. Shapiro,et al.  BACTERIA AS MULTICELLULAR ORGANISMS , 1988 .

[4]  Did God make RNA? , 1988, Nature.

[5]  Michael Conrad,et al.  Molecular computing as a link between biological and physical theory , 1982 .

[6]  J. Kraut,et al.  How do enzymes work? , 1988, Science.

[7]  H. Lodish Molecular Cell Biology , 1986 .

[8]  D. Martland Dynamic behaviour of Boolean networks , 1989 .

[9]  Michael Conrad,et al.  On design principles for a molecular computer , 1985, CACM.

[10]  Michael Conrad,et al.  Scale change and the emergence of information processing primitives , 1985 .

[11]  NARENDRA G. Mehta An alternative view of the origin of life , 1986, Nature.

[12]  D. Bray,et al.  Intracellular signalling as a parallel distributed process. , 1990, Journal of theoretical biology.

[13]  G M Tomkins,et al.  The metabolic code. , 1975, Science.

[14]  Stephen Wolfram,et al.  Cellular automata as models of complexity , 1984, Nature.

[15]  Lila L. Gatlin,et al.  Information theory and the living system , 1972 .

[16]  N. D. Cook Stability and Flexibility: An Analysis of Natural Systems , 1980 .

[17]  H. Atlan L'organisation biologique et la théorie de l'information , 1992 .

[18]  S. D. Bedrosian,et al.  Information Flow and Complexity in Large-Scale Metabolic Systems , 1985 .

[19]  G R Welch,et al.  The living cell as an ecosystem: Hierarchical analog and symmetry. , 1987, Trends in ecology & evolution.

[20]  Jeffrey R. Sampson,et al.  Adaptive Information Processing , 1976, Texts and Monographs in Computer Science.

[21]  H. Maturana,et al.  Autopoiesis and Cognition , 1980 .

[22]  Daniel R. Brooks,et al.  Evolution as entropy: Toward a unified theory of biology , 1987 .

[23]  Rodney A. Brooks,et al.  A Robot that Walks; Emergent Behaviors from a Carefully Evolved Network , 1989, Neural Computation.

[24]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[25]  C. H. WADDINGTON,et al.  Towards a Theoretical Biology , 1968, Nature.

[26]  J. Infante,et al.  The hypothetical way of progress , 1989, Nature.

[27]  B. Crabtree,et al.  A systematic approach to describing and analysing metabolic control systems , 1987 .

[28]  John Maddox Finding wood among the trees , 1988, Nature.

[29]  Jacques Monod,et al.  A Biologist's World View. (Book Reviews: Chance and Necessity. An Essay on the Natural Philosophy of Modern Biology) , 1972 .

[30]  J. Changeux,et al.  THE CONTROL OF BIOCHEMICAL REACTIONS. , 1965, Scientific American.

[31]  H. Maturana The tree of knowledge , 1987 .

[32]  Charles H. Bennett,et al.  On the nature and origin of complexity in discrete, homogeneous, locally-interacting systems , 1986 .

[33]  A. Kornberg For the Love of Enzymes: The Odyssey of a Biochemist , 1989 .

[34]  J. Lovelock Gaia: A New Look at Life on Earth , 1979 .

[35]  Rolf Landauer,et al.  A simple measure of complexity , 1988, Nature.

[36]  A. Sols,et al.  Multimodulation of enzyme activity. , 1981, Current topics in cellular regulation.

[37]  M. Minsky The Society of Mind , 1986 .

[38]  S. Lloyd,et al.  Complexity as thermodynamic depth , 1988 .