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"The Origin-of-Life Prize" ® (hereafter called "the Prize") will be awarded for proposing a highly plausible natural-process mechanism for the spontaneous rise of genetic instructions in nature sufficient to give rise to life. The explanation must be consistent with empirical biochemical, kinetic, and thermodynamic concepts as further delineated herein, and be published in a well-respected, peer-reviewed science journal(s).
Progress in life-origin research has been greatly impeded by a few key nagging problems. Biochemical constraints render many appealing theoretical models non productive. These biochemical constraints have received the most attention in scientific literature. Self-replication has been another subject of considerable research, although successes in this area have usually come from very artificial rather than natural-selection models. But perhaps the most daunting of all life-origin problems is elucidating a natural mechanism for "self-organization." Self-ordering is often confused with bona fide organization. A crucial paper providing valuable background information in this area is:
Self-organization vs.Self-ordering in life-origin models
Abel, D.L. and Trevors, J.T., 2006, Self-organization vs. Self-ordering events in life-origin models. Physics of Life Reviews 3: 211-228
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Complexity, "the edge of chaos," hypercycles, Markov processes, fractals, complex adaptive systems, genetic algorithms, and directed evolution have all attracted great interest. A valuable summary of progress in these areas is summarized in another key review paper:
The capabilities of chaos and complexity
Abel, D.L., 2009, The capabilities of chaos and complexity. Int. J. Mol. Sci. 10: 247-291
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Gene emergence relates specifically to sequence complexity, material symbol systems, decision nodes, logic gates and configurable switch-settings. The following papers provide important background information for all of these issues:
Three subsets of sequence complexity and their relevance to biopolymeric information
Abel, D.L. and Trevors, J.T., 2005, Three subsets of sequence complexity and their relevance to biopolymeric information. Theoretical Biology and Medical Modeling 2: Open access at above link.
Abel, D.L., 2002, Is life reducible to complexity? In Palyi, G., Zucchi, C. and Caglioti, L., Fundamentals of life. Elsevier, Paris.
Abel, D.L. and Trevors, J.T., 2006, More than metaphor: Genomes are objective sign systems. Journal of BioSemiotics 1: 253-267
Abel, D.L., 2007, Complexity, self-organization, and emergence at the edge of chaos in life-origin models. Journal of the Washington Academy of Sciences 93: 1-20
More than metaphor: Genomes are objective sign systems
Abel, D.L. and Trevors, J.T., 2007, More than metaphor: Genomes are objective sign systems. In Barbieri, M., Biosemiotic research trends. Nova Science Publishers, Inc., New York.
The biosemiosis of prescriptive information
Abel, D.L., 2009, The biosemiosis of prescriptive information. Semiotica 2009: 1-19
Measuring the functional sequence complexity of proteins
Durston, K.K., Chiu, D.K., Abel, D.L. and Trevors, J.T., 2007, Measuring the functional sequence complexity of proteins. Theor Biol Med Model 4: Free on-line access at
Chance and Necessity do not explain the origin of life
Trevors, J.T. and Abel, D.L., 2004, Chance and necessity do not explain the origin of life. Cell Biology International 28: 729-739
Is your model scientifically plausible? To test this, the scientific method requires that you calculate a Universal Plausibility Metric (UPM, Xi), and that you apply the Universal Plausbililty Principle to your model. The probabilities incorporated into your UPM must be calculated correctly, factoring the probabilities of: 1) getting only homochiral monomers, 2) only peptide bonds (half the bonds that normally form between amino acids), 3) only biologically usable amino acids (20 out of 80 or more), 4) getting activated monomers that can polymerize, 5) getting a family member of each protein catalyst out of sequence space, 6) getting all needed components produced and assembled at the same place and in the correct reaction order through time, etc. If the UPM for your model is less than 1, your model is definitively falsified by the Universal Plausibility Principle applicable to all hypotheses, models, theories and scenarios in all fields of science.
See the following link:
The Universal Plausibility Metric (UPM) and Principle (UPP)
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The Origin of Life Prize is being offered specifically for falsification of two null hypotheses:
The Cybernetic Cut - Progressing from description to prescription in systems theory
1. Abel, D.L., 2008, "The Cybernetic Cut": Progressing from description to prescription in systems theory. The Open Cybernetics and Systemics Journal 2: 234-244
The GS Principle or The Genetic Selection Principle
2. Abel, D.L., 2009, The GS (Genetic Selection) Principle. Frontiers in Bioscience 14: 2959-2969
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Brief summaries of these two null hypotheses can be found as Scirus SciTopic Pages:
The_GS_Principle_The_Genetic_Selection_Principle
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Also of interest is a short summary of Prescriptive Information (PI):
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The one-time Prize will be paid to the winner(s) as a twenty-year annuity in hopes of discouraging theorists' immediate retirement from productive careers. The annuity consists of $50,000.00 (U.S.) per year for twenty consecutive years, totalling one million dollars in payments.
Formal application by submitters is required to win. Submitters must expressly consent to abide by all terms and conditions of the Prize before judging of their paper(s) can begin.
The ability of the Foundation to underwrite these payments and to administer the Project is monitored by the well-known accounting firm of Young, Brophy & Duncan, PC, Certified Public Accountants.