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alliedacademies MASS SPECTROMETRY
AND PROTEOMICS
International Conference on
J u n e 2 5 - 2 7 , 2 0 1 8 | D u b l i n , I r e l a n d
Journal of Systems Biology & Proteome Research | Volume 2
Page 14
This work goes back to the 1970’s, inspired among other by the ethological
(biology of behavior) work of Nico Tinbergen, Konrad Lorenz and von
Frish, rewarded in 1973 by a shared Nobel Prize in Medicine or Physiology, for
their study of insect, animal and human behavior. Inspired also by studies of
primate social groups and E. O. Wilson’s monumental research on social insect
societies evolved over hundreds of millions of years. If a mass society is taken
tomean a society of, for example, more than ten thousand individuals, these are
very rare in nature and mostly found in insects and in humans, the only large-
brained species where mass-societies exist, and only in modern humans, that
is, evolving in cultural time (tens of thousands of years), essentially a biological
eye blink. The smallest individuals were insects. None were parts of others and
there was no mentioning of self-similarity. Fractals, A.I., computational pattern
detection or nanoscience were barely mentioned. Access to computers with
adequate softwarewas rare. Comparisons of animal and humanmass societies
were mostly between those of insects and “modern” humans. Technological
and scientific progress now facilitates cell biology research, where striking
analogies have appeared between human mass-societies and the “Cell City” of
proteins. The present work has to a large extent focused on the development of
mathematical/statistical pattern types, the T-pattern and the T-system, which
have allowed detection of self-similarity of various kinds from the temporal
scales of human and neuronal interactions to the spatial nano scale of DNA
and proteins, notably mobile and motor neurons bringing to light, essential
similarities between protein and mass societies of modern humans, absent in
all other mass societies. The time may thus have come for “nano-ethology” add
a new focus to the study of molecules within the biological cell.
Biography
Magnus S Magnusson is a Research Professor.
He did his PhD from University of Copenhagen.
He is the author of the T-pattern model and de-
tection algorithms implemented in THEMETM
). He has focused on real-time
organization of behavior, co-directed DNA analy-
sis, published numerous papers and given invited
talks and keynotes at international conferences in
ethology, psychology, neuroscience, mathemati-
cal sciences, science of religion, proteomics and
mass spectrometry, and at universities in Europe,
USA and Japan. He is the Associate Professor
and Deputy Director 1983-1988, Anthropology
Laboratory, Museum of Mankind, National Muse-
um of Natural History, Paris. Repeatedly invited
Professor in Psychology and Ethology (the biol-
ogy of behavior) at the University of Paris, V, VIII
and XIII. Since 1991, Founder and Director of the
Human Behavior Laboratory , Universi-
ty of Iceland. Since 1995, he is in collaboration
between 32 universities on Methodology for the
Analysis of Social Interaction (MASI) initiated at
the University Rene Descartes, Sorbonne, Paris
based on Magnusson’s analytical model.
ONLY LARGE-BRAIN MASS-SOCIETIES
AS BEST REFLECTIONS OF THOSE
OF PROTEINS: T-PATTERNS, SELF-
SIMILARITY AND STRING-CONTROL
ACROSS MANY ORDERS OF
MAGNITUDE IN TIME AND SPACE
Magnus S Magnusson
University of Iceland, Iceland
Magnus S Magnusson, J Syst Biol Proteome Res 2018, Volume 2