Modeling scalable pattern generation in DNA reaction networks

被引：2

作者：

Allen, Peter B. ^{[1
]}

Chen, Xi ^{[1
]}

Simpson, Zack B. ^{[1
]}

Ellington, Andrew D. ^{[1
]}

机构：

[1] Univ Texas Austin, Austin, TX 78712 USA

来源：

NATURAL COMPUTING | 2014年 / 13卷 / 04期

基金：

美国国家科学基金会;

关键词：

Reaction-diffusion; Chemical reaction networks; DNA circuits; Strand displacement reactions; DUPLEX STABILITY; KINETICS; SEQUENCE;

D O I：

10.1007/s11047-013-9392-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We have developed a theoretical framework for developing patterns in multiple dimensions using controllable diffusion and designed reactions implemented in DNA. This includes so-called strand displacement reactions in which one single-stranded DNA hybridizes to a hemi-duplex DNA and displaces another single-stranded DNA, reversibly or irreversibly. These reactions can be designed to proceed with designed rate and molecular specificity. By also controlling diffusion by partial complementarity to a stationary, cross-linked DNA, we can generate predictable patterns. We demonstrate this with several simulations showing deterministic, predictable shapes in space.

引用

页码：583 / 595

页数：13

共 37 条

[1] Spatial Control of DNA Reaction Networks by DNA Sequence [J].