M. Reza Ghadiri

Dr. M. Reza Ghadiri

Department of Chemistry, The Scripps Research Institute, San Diego, CA, USA

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 March 2001 in Angewandte Chemie
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Journal Article
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DBDennis T. Bong
Dennis T. Bong
TCThomas D. Clark
Thomas D. Clark
JGJuan R. Granja
Juan R. Granja
M. Reza GhadiriM. Reza Ghadiri
M. Reza Ghadiri

15 July 2004 in Proceedings of the National Academy of Sciences
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Journal Article
Closed access
GAGonen Ashkenasy
Gonen Ashkenasy
RJReshma Jagasia
Reshma Jagasia
MYManeesh Yadav
Maneesh Yadav
M. Reza GhadiriM. Reza Ghadiri
M. Reza Ghadiri
An ability to rationally design complex networks from the bottom up can offer valuable quantitative model systems for use in gaining a deeper appreciation for the principles governing the self-organization and functional characteristics of complex systems. We report herein the de novo design, graph prediction, experimental analysis, and characterization of simple self-organized, nonlinear molecular networks. Our approach makes use of the sequence-dependant auto- and cross-catalytic functional characteristics of template-directed peptide fragment condensation reactions in neutral aqueous solutions. Starting with an array of 81 sequence similar 32-residue coiled-coil peptides, we estimated the relative stability difference between all plausible A 2 B-type coiled-coil ensembles and used this information to predict the auto- and cross-catalysis pathways and the resulting plausible network motif and connectivities. Similar to most complex systems, the generated graph displays clustered nodes with an overall hierarchical architecture. To test the validity of the design principles used, nine nodes composing a main segment of the graph were experimentally analyzed for their capacity in establishing the predicted network connectivity. The resulting self-organized chemical network is shown to display 25 directed edges in good agreement with the graph analysis estimations. Moreover, we show that by varying the system parameters (presence or absence of certain substrates or templates), its operating network motif can be altered, even to the extremes of turning pathways on or off. We suggest that this approach can be expanded for the construction of large-scale networks, offering a means to study and to understand better the emergent, collective behaviors of networks.

19 August 2004 in Journal of the American Chemical Society
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Journal Article
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GAGonen Ashkenasy
Gonen Ashkenasy
M. Reza GhadiriM. Reza Ghadiri
M. Reza Ghadiri

1 January 2008 in Journal of the American Chemical Society
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Journal Article
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SCScott L. Cockroft
Scott L. Cockroft
JCJohn Chu
John Chu
MAManuel Amorin
Manuel Amorin
M. Reza GhadiriM. Reza Ghadiri
M. Reza Ghadiri

3 July 2009 in Science
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YUYasuyuki Ura
Yasuyuki Ura
JBJohn M. Beierle
John M. Beierle
Luke J. LemanLuke J. Leman
Luke J. Leman
LOLeslie E. Orgel
Leslie E. Orgel
M. Reza GhadiriM. Reza Ghadiri
M. Reza Ghadiri
Adaptable DNA Analogs: The defining feature of DNA as a genetic blueprint is its capacity for self-replication. In the cell, however, the replication process requires the assistance of multiple elaborate enzymes. How then at the origin of life could DNA or its precursor replicate before enzymes were present? Ura et al. (p. 73 , published online 11 June) have achieved the long-sought goal of preparing a synthetic DNA analog that can dynamically adapt its sequence in free solution. Their analog (as yet only studied in relatively short, 20-unit oligomers) replaces DNA's sugar and phosphate backbone by a peptide strand in which cysteines reversibly bind the conventional DNA bases through thioester tethers. These strands can pair with complementary sequences of true DNA and furthermore swap one tethered base for another if different DNA templating strands are added to the solution in succession.

15 February 2005 in Angewandte Chemie International Edition
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Journal Article
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NANurit Ashkenasy
Nurit Ashkenasy
JSJorge Sánchez‐Quesada
Jorge Sánchez‐Quesada
HBHagan Bayley
Hagan Bayley
M. Reza GhadiriM. Reza Ghadiri
M. Reza Ghadiri