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Pregled bibliografske jedinice broj: 36317

Universal metric properties of the genetic code.


Štambuk, Nikola
Universal metric properties of the genetic code. // Book of Abstracts Math/Chen/Comp'99 / Graovac, Ante ; Smrečki, Vilko ; Vikić-Topić, Dražen (ur.).
Zagreb: Math/Chen/Comp, 1999. str. 65- (pozvano predavanje, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 36317 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Universal metric properties of the genetic code.

Autori
Štambuk, Nikola

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts Math/Chen/Comp'99 / Graovac, Ante ; Smrečki, Vilko ; Vikić-Topić, Dražen - Zagreb : Math/Chen/Comp, 1999, 65-

Skup
Math/Chen/Comp'99 - The 14th Dubrovnik International Course & Conference on the Interfaces Between Mathematics, Chemistry and Computer Sciences

Mjesto i datum
Dubrovnik, Hrvatska, 21.06.1999. - 26.06.1999

Vrsta sudjelovanja
Pozvano predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
genetic code; RNA; DNA; molecular recognition; drug modelling

Sažetak
The algorithms and equations that define and link circular coding properties of the genetic code and amino acid structural properties are derived considering the model of Cantor dynamics based automaton. The method has been defined with respect to the principles of molecular recognition theory and Grafstein's hypothesis of the stereochemical origin of the genetic code. It is emphasised that RNA and DNA coding defines distinct groups of codon-anticodon pairs, which describe all possible complementary amino acids and Siemion's mutation ring of the genetic code. Underlying Fibonacci dynamics is extracted and mathematically defined. Two fundamental properties of DNA/RNA, denoted as complementary and stationary coding are presented and analysed in the context of the nucleotide relationships of the same (self) and other, i.e. complementary strand. Two digit specification of the codon positions, by means of the binary group subdivision, is particularly analysed and defined according to the purine-pyrimidine and strong-week H bonding discrimination principles. It is shown that the process of protein and gene coding is related to the hypercube node codon representations, which leads to the possibility of analysing protein coding process by means of different hypercube network algorithms. The relations between binary tree locations and Cantor set representations of different codon points are also defined with respect to the quadratic mappings and Feigenbaum/symbolic dynamics. It is proposed that SCA procedure may be a suitable method for the analysis of words, sentences and syntax of DNA, RNA and protein coding language. The applications of this method may contribute to gene, protein and drug modelling.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti



POVEZANOST RADA


Projekti:
00981108

Ustanove:
Institut "Ruđer Bošković", Zagreb

Profili:

Avatar Url Nikola Štambuk (autor)


Citiraj ovu publikaciju:

Štambuk, Nikola
Universal metric properties of the genetic code. // Book of Abstracts Math/Chen/Comp'99 / Graovac, Ante ; Smrečki, Vilko ; Vikić-Topić, Dražen (ur.).
Zagreb: Math/Chen/Comp, 1999. str. 65- (pozvano predavanje, međunarodna recenzija, sažetak, znanstveni)
Štambuk, N. (1999) Universal metric properties of the genetic code.. U: Graovac, A., Smrečki, V. & Vikić-Topić, D. (ur.)Book of Abstracts Math/Chen/Comp'99.
@article{article, author = {\v{S}tambuk, Nikola}, year = {1999}, pages = {65-}, keywords = {genetic code, RNA, DNA, molecular recognition, drug modelling}, title = {Universal metric properties of the genetic code.}, keyword = {genetic code, RNA, DNA, molecular recognition, drug modelling}, publisher = {Math/Chen/Comp}, publisherplace = {Dubrovnik, Hrvatska} }
@article{article, author = {\v{S}tambuk, Nikola}, year = {1999}, pages = {65-}, keywords = {genetic code, RNA, DNA, molecular recognition, drug modelling}, title = {Universal metric properties of the genetic code.}, keyword = {genetic code, RNA, DNA, molecular recognition, drug modelling}, publisher = {Math/Chen/Comp}, publisherplace = {Dubrovnik, Hrvatska} }




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