Literature DB >> 16255644

Synthetic biology.

A Michael Sismour, Steven A Benner.   

Abstract

Chemistry is a broadly powerful discipline in contemporary science because it has the ability to create new forms of the matter that it studies. By doing so, chemistry can test models that connect molecular structure to behaviour without having to rely on what nature has provided. This creation, known as 'synthesis', began to be applied to living systems in the 1980s as recombinant DNA technologies allowed biologists to deliberately change the molecular structure of the microbes that they studied, and automated chemical synthesis of DNA became widely available to support these activities. The impact of the information that has emerged has made biologists aware of a truism that has long been known in chemistry: synthesis drives discovery and understanding in ways that analysis cannot. Synthetic biology is now setting an ambitious goal: to recreate in artificial systems the emergent properties found in natural biology. By doing so, it is advancing our understanding of the molecular basis of genetics in ways that analysis alone cannot. More practically, it has yielded artificial genetic systems that improve the healthcare of some 400,000 Americans annually. Synthetic biology is now set to take the next step, to create artificial Darwinian systems by direct construction. Supported by the National Science Foundation as part of its Chemical Bonding program, this work cannot help but generate clarity in our understanding of how biological systems work.

Mesh:

Year:  2005        PMID: 16255644     DOI: 10.1517/14712598.5.11.1409

Source DB:  PubMed          Journal:  Expert Opin Biol Ther        ISSN: 1471-2598            Impact factor:   4.388


  9 in total

Review 1.  Opportunities for microfluidic technologies in synthetic biology.

Authors:  Shelly Gulati; Vincent Rouilly; Xize Niu; James Chappell; Richard I Kitney; Joshua B Edel; Paul S Freemont; Andrew J deMello
Journal:  J R Soc Interface       Date:  2009-05-27       Impact factor: 4.118

Review 2.  Non-natural nucleic acids for synthetic biology.

Authors:  Daniel H Appella
Journal:  Curr Opin Chem Biol       Date:  2009-10-29       Impact factor: 8.822

Review 3.  Alternative Watson-Crick Synthetic Genetic Systems.

Authors:  Steven A Benner; Nilesh B Karalkar; Shuichi Hoshika; Roberto Laos; Ryan W Shaw; Mariko Matsuura; Diego Fajardo; Patricia Moussatche
Journal:  Cold Spring Harb Perspect Biol       Date:  2016-11-01       Impact factor: 10.005

4.  Structural basis for a six nucleotide genetic alphabet.

Authors:  Millie M Georgiadis; Isha Singh; Whitney F Kellett; Shuichi Hoshika; Steven A Benner; Nigel G J Richards
Journal:  J Am Chem Soc       Date:  2015-05-18       Impact factor: 15.419

Review 5.  DNA polymerases engineered by directed evolution to incorporate non-standard nucleotides.

Authors:  Roberto Laos; J Michael Thomson; Steven A Benner
Journal:  Front Microbiol       Date:  2014-10-31       Impact factor: 5.640

6.  Consecutive non-natural PZ nucleobase pairs in DNA impact helical structure as seen in 50 μs molecular dynamics simulations.

Authors:  Robert W Molt; Millie M Georgiadis; Nigel G J Richards
Journal:  Nucleic Acids Res       Date:  2017-04-20       Impact factor: 16.971

7.  Transcriptional programming using engineered systems of transcription factors and genetic architectures.

Authors:  Ronald E Rondon; Thomas M Groseclose; Andrew E Short; Corey J Wilson
Journal:  Nat Commun       Date:  2019-10-21       Impact factor: 14.919

8.  The farther, the safer: a manifesto for securely navigating synthetic species away from the old living world.

Authors:  Philippe Marliere
Journal:  Syst Synth Biol       Date:  2009-10-10

9.  Cell-free protein synthesis from a release factor 1 deficient Escherichia coli activates efficient and multiple site-specific nonstandard amino acid incorporation.

Authors:  Seok Hoon Hong; Ioanna Ntai; Adrian D Haimovich; Neil L Kelleher; Farren J Isaacs; Michael C Jewett
Journal:  ACS Synth Biol       Date:  2014-01-02       Impact factor: 5.110

  9 in total

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