A semiotic analysis of the genetic information system

Semiotica ◽  
2006 ◽  
Vol 2006 (160) ◽  
pp. 1-68 ◽  
Author(s):  
Charbel Niño El-Hani ◽  
João Queiroz ◽  
Claus Emmeche
2012 ◽  
Vol 2012 ◽  
pp. 1-9
Author(s):  
John A. Springer ◽  
Nicholas V. Iannotti ◽  
Jon E. Sprague ◽  
Michael D. Kane

To capitalize on the vast potential of patient genetic information to aid in assuring drug safety, a substantial effort is needed in both the training of healthcare professionals and the operational enablement of clinical environments. Our research aims to satisfy these needs through the development of a drug safety assurance information system (GeneScription) based on clinical genotyping that utilizes patient-specific genetic information to predict and prevent adverse drug responses. In this paper, we present the motivations for this work, the algorithms at the heart of GeneScription, and a discussion of our system and its uses. We also describe our efforts to validate GeneScription through its evaluation by practicing pharmacists and pharmacy professors and its repeated use in training pharmacists. The positive assessment of the GeneScription software tool by these domain experts provides strong validation of the importance, accuracy, and effectiveness of GeneScription.


2016 ◽  
Vol 5 (7) ◽  
pp. 672-678 ◽  
Author(s):  
Nilesh B. Karalkar ◽  
Nicole A. Leal ◽  
Myong-Sang Kim ◽  
Kevin M. Bradley ◽  
Steven A. Benner

2018 ◽  
Vol 122 (34) ◽  
pp. 8134-8145 ◽  
Author(s):  
N. R. Jena ◽  
P. Das ◽  
B. Behera ◽  
P. C. Mishra

2006 ◽  
Vol 34 (21) ◽  
pp. 6095-6101 ◽  
Author(s):  
Zunyi Yang ◽  
Daniel Hutter ◽  
Pinpin Sheng ◽  
A. Michael Sismour ◽  
Steven A. Benner

Chem ◽  
2016 ◽  
Vol 1 (6) ◽  
pp. 946-958 ◽  
Author(s):  
Linus F. Reichenbach ◽  
Ahmad Ahmad Sobri ◽  
Nathan R. Zaccai ◽  
Christopher Agnew ◽  
Nicholas Burton ◽  
...  

2014 ◽  
Vol 79 (7) ◽  
pp. 3194-3199 ◽  
Author(s):  
Hyo-Joong Kim ◽  
Nicole A. Leal ◽  
Shuichi Hoshika ◽  
Steven A. Benner

2016 ◽  
Vol 72 (12) ◽  
pp. 952-959 ◽  
Author(s):  
Mariko F. Matsuura ◽  
Hyo-Joong Kim ◽  
Daisuke Takahashi ◽  
Khalil A. Abboud ◽  
Steven A. Benner

Reported here is the crystal structure of a heterocycle that implements a donor–donor–acceptor hydrogen-bonding pattern, as found in theZcomponent [6-amino-5-nitropyridin-2(1H)-one] of an artificially expanded genetic information system (AEGIS). AEGIS is a new form of DNA from synthetic biology that has six replicable nucleotides, rather than the four found in natural DNA. Remarkably,Zcrystallizes from water as a 1:1 complex of its neutral and deprotonated forms, and forms a `skinny' pyrimidine–pyrimidine pair in this structure. The pair resembles the known intercalated cytosine pair. The formation of the same pair in two different salts, namely poly[[aqua(μ6-2-amino-6-oxo-3-nitro-1,6-dihydropyridin-1-ido)sodium]–6-amino-5-nitropyridin-2(1H)-one–water (1/1/1)], denoted Z-Sod, {[Na(C5H4N3O3)(H2O)]·C5H5N3O3·H2O}n, and ammonium 2-amino-6-oxo-3-nitro-1,6-dihydropyridin-1-ide–6-amino-5-nitropyridin-2(1H)-one–water (1/1/1), denoted Z-Am, NH4+·C5H4N3O3−·C5H5N3O3·H2O, under two different crystallization conditions suggests that the pair is especially stable. Implications of this structure for the use of this heterocycle in artificial DNA are discussed.


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