Czasopismo
Tytuł artykułu
Autorzy
Warianty tytułu
Języki publikacji
Abstrakty
Knot polynomials have been used to detect and classify knots in biomolecules. Computation of knot polynomials in DNA and protein molecules have revealed the existence of knotted structures, and provided important insight into their topological structures. However, conventional knot polynomials are not well suited to study RNA molecules, as RNA structures are determined by stem regions which are not taken into account in conventional knot polynomials. In this study, we develop a new class of knot polynomials specifically designed to study RNA molecules, which considers stem regions. We demonstrate that our knot polynomials have direct structural relation with RNA molecules, and can be used to classify the topology of RNA secondary structures. Furthermore, we point out that these knot polynomials can be used to model the topological effects of disulfide bonds in protein molecules.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Numer
Strony
21-30
Opis fizyczny
Daty
wydano
2017-01-01
otrzymano
2017-01-04
zaakceptowano
2017-03-30
online
2017-04-26
Twórcy
autor
- Department of Bioengineering, University of Illinois at Chicago, 1200 West Harrison St., 60607, Chicago, IL,
autor
- Department of Bioengineering, University of Illinois at Chicago, 1200 West Harrison St., 60607, Chicago, IL,
autor
- Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, 1200 West Harrison St., 60607, Chicago, IL,
autor
- Department of Bioengineering, University of Illinois at Chicago, 1200 West Harrison St., 60607, Chicago, IL,, jliang@uic.edu
Bibliografia
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.doi-10_1515_mlbmb-2017-0002