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Showing papers on "Molecular models of DNA published in 1997"


Journal ArticleDOI
TL;DR: In this paper, the authors studied the equilibrium formation of DNA catenanes to assess the conformational properties of supercoiled DNA as a function of ionic conditions and supercoiling density.

94 citations


Journal ArticleDOI
TL;DR: In this paper, the authors studied the conformations of supercoiled DNA as a function of superhelicity and ionic conditions by determining its sedimentation coefficient both experimentally and by calculation.

88 citations


Journal ArticleDOI
TL;DR: By applying a modified “molecular combing” technique and imaging in air with atomic force microscope, DNA molecules were aligned on a mica surface which was chemically modified with a small organic molecule, (3-aminopropyl)-triethanoxysilane.
Abstract: Manipulating DNA molecules to form molecular patterns on a nanometer scale is a subject with wide prospects By applying a modified “molecular combing” technique and imaging in air with atomic force microscope, we aligned DNA molecules on a mica surface which was chemically modified with a small organic molecule, (3-aminopropyl)-triethanoxysilane Two-dimensional patterns of DNA molecules were also constructed

37 citations


Book ChapterDOI
07 Jul 1997
TL;DR: A new way to use DNA computations is proposed that allows us to solve important and potentially killer applications and is a fundamental change in the way that DNA computation is used.
Abstract: Ever since Adleman's seminal paper [1] there has been a flood of ideas on how one could use DNA to compute Lipton was the first to show that DNA could be used to solve more than just a variation of the famous travelling salesman problem [12] Since then there have been many other papers on using DNA to solve various computational problems [3,5,4,6,7,15] At the top level all these papers are similar: they all at tempt to use DNA computation to solve some large search problem Since a liter of water can hold 10 2-" bases of DNA, there is the possibility that one can outperform electronic machines However, this is currently problematic There are several reasons for this First, electronic machines are very fast; moreover, they are getting faster every day Second, there are many models of how to do DNA computations Yet, it is unclear if any of these models wilt be practical The problem is mainly that DNA technology is not perfect DNA operations are not error free Finally, there is the lack of a killer app A killer app is an application that fits the DNA model; cannot be solved by the current or even future electronic machines; and is important The latter is critical: to be a killer app the problem must be one for which people are willing to "pay money" for solutions To date there are no viable candidates for the killer app We propose a new way to use DNA computations This way allows us to use DNA computations to solve important and potentially killer applications The potential applications include: (1) DNA sequencing; (2) DNA fingerprinting; (3) DNA mutation detection or population screening; (~) Other fundamental operations on DNA The key new idea is to use DNA computat ion to operate on unknown pieces of DNA This is a fundamental change in the way that we use DNA computation We call these DNA~-DNA computations: DNA to DNA computations This idea was first proposed in [8] and called "analog" DNA computations there The key idea is the following Suppose that one has a test tube that contains multiple copies of some unknown strand X of DNA, By unknown we mean that we do not known

26 citations


Journal ArticleDOI
TL;DR: Collective coordinate method is used to explain a previously observed numerical evidence that breathers placed far from defects are difficult to trap, and the motional effect of RNA-polymerase is investigated.
Abstract: Previous numerical investigations of a one-dimensional DNA model with an extended modified coupling constant by transcripting enzyme are integrated to longer time and demonstrated explicitly the trapping of breathers by DNA chains with realistic parameters obtained from experiments. Furthermore, collective coordinate method is used to explain a previously observed numerical evidence that breathers placed far from defects are difficult to trap, and the motional effect of RNA-polymerase is investigated.