DNA by Design: De novo Computational Framework for DNA Sequence Design and Nanotechnology

نویسندگان

چکیده

Chemical analysis of metalized DNA has made it quite clear that traditional models thermodynamics are insufficient to predict and control self-assembly in the context orthogonally-paired nucleotides. Recently, there been an increase reports Watson-Crick assembly wires nanostructures [1–4]. The ability add or remove pairing rules between nucleobases toward non-Watson-Crick, orthogonal, alters fundamental language assembly: this change behavior necessitates accompanying shift computational design. We begin by exploring state-of-the-art modeling, include both sequence design practices. then start from first principles establish a mathematical basis for heterostructure ‘nmer’ connected networks operates without assumptions about nucleobase parity. A generalized search algorithm is constructed Matlab implemented using evolutionary techniques. discuss nanostructure criteria, operation efficiency differentially-connected networks, application computationally-aided nanotechnological applications. double crossover motif with silver base pair modification as test case, demonstrate successful model implementation. In sum, we present novel framework geometry-informed optimization networks. This tool meant enable linear nonlinear polynucleotide assemblies inherent modularity parity, metalation, more exotic nucleotide substitutions may arise advances synthetic biology, nanomaterials nanomedicine.

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ژورنال

عنوان ژورنال: Journal of self-assembly and molecular electronics

سال: 2022

ISSN: ['2245-4551', '2245-8824']

DOI: https://doi.org/10.13052/jsame2245-8824.2022.002