Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks.

Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks. Abstract Text:

Justin A Bradford,Ken A Dill,

We develop a computer model for how two different chemical catalysts in solution, A and B, could be driven to form AB complexes, based on the concentration gradients of a substrate or product that they share in common. If A's product is B's substrate, B will be attracted to A, mediated by a common resource that is not otherwise plentiful in the environment. By this simple physicochemical mechanism, chemical reactions could spontaneously associate to become chained together in solution. According to the model, such catalyst self-association processes may resemble other processes of "stochastic innovation," such as Darwinian evolution in biology, that involve a search among options, a selection among those options, and then a lock-in of that selection. Like Darwinian processes, this simple chemical process exhibits cooperation, competition, innovation, and a preference for consistency. This model may be useful for understanding organizational processes in prebiotic chemistry and for developing new kinds of self-organization in chemically reacting systems.

Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks. Publishing Authors By Initials

JA Bradford,KA Dill,

For similar natural sciences: time: time factors research abstracts see: natural sciences: time: time factors research

PUBMED ID PMID:

MEDLINE DATE:

Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Proceedings of the National Academy of Sciences of

VOLUME: 104

Page Numbers: 10098-103

Journal Abbreviation: Proc. Natl. Acad. Sci. U.S.A.

ISSN: 0027-8424

DAY: 4

MONTH: 06

YEAR: 2007

Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks. Information

Number of References:

LANGUAGE: eng

NlmUniqueID: 7505876

Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks. Keywords Mesh Terms:

KEYWORDS: Time Factors

MESH TERMS: chemistry

Chemical & Substance for Abstract: Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks. Information

Substance Name: Solutions

Registry Number: 0

Grant and Affiliation Information for Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks.

AFFILIATION: Department of Pharmaceutical Chemistry, University of California-San Francisco, CA 94143, USA.

Country: United States

AGENCY: United States NIGMS

GRANT: GM 34993

ACRONYM: GM

MEDLINETA: Proc Natl Acad Sci U S A

REFSOURCE:

DATABASENAME:

ACCESSION NUMBER:

Number Hits: 0

Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks Related Publications

• An improved thermodynamic perturbation theory for Mercedes-Benz water.
• Apparent rates of production and loss of dissolved gaseous mercury (DGM) in a southern reservoir lake (Tennessee, USA).
• Biochemical studies on chloramphenicol; colorimetric methods for the determination of chloramphenicol and related nitro compounds.
• Biochemical studies on diphenhydramine (benadryl) distribution in tissues and urinary excretion.
• Can measures of prey availability improve our ability to predict the abundance of large marine predators?
• Charge asymmetries in hydration of polar solutes.
• Comparison of charge models for fixed-charge force fields: small-molecule hydration free energies in explicit solvent.
• Degradation of benadryl by tissue enzymes.
• Exploring zipping and assembly as a protein folding principle.
• FOOD AND DRUGS.
• FOOD AND DRUGS.
• FOOD AND DRUGS.
• FOOD AND DRUGS.
• FOOD AND DRUGS.
• FOOD AND DRUGS.
• Fatigue: a case history.
• Fear factor: do dugongs (Dugong dugon) trade food for safety from tiger sharks (Galeocerdo cuvier)?
• Inhalation toxicity and lung toxicokinetics of C60 fullerene nanoparticles and microparticles.
• Measuring flux distributions for diffusion in the small-numbers limit.
• On the use of orientational restraints and symmetry corrections in alchemical free energy calculations.
• Predicting absolute ligand binding free energies to a simple model site.
• Protein folding by zipping and assembly.
• Rate of blood flow through standard gage needles under pressure.
• Routes are trees: the parsing perspective on protein folding.
• Scope and possibilities of a mobile eye clinic in a state hospital.
• Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks.
• The diagnosis of ectopic pregnancy.
• Theory for the separation of very large DNA molecules by radial migration.
• Theory for the solvation of nonpolar solutes in water.
• Vomiting associated with pregnancy.