DOI: 10.1073/pnas.1316533110. Designing DNA-grafted particles that self-assemble into desired crystalline structures using the genetic algorithm

Designing DNA-grafted particles that self-assemble into desired crystalline structures using the genetic algorithm

10.1073/pnas.1316533110

Crossref journal-article

Proceedings of the National Academy of Sciences

Proceedings of the National Academy of Sciences (341)

Abstract

Significance The traditional, Edisonian method of research involves taking a system and examining its properties. A preferred alternative is to target a suite of properties and then design the most appropriate system in this context. Here we illustrate such a design approach for the self-assembly of colloids grafted with single-stranded DNA. When two types of colloids grafted with complementary ssDNA sequences are mixed, DNA hybridization can lead to the formation of ordered colloidal crystals. We use the genetic algorithm to design ssDNA-grafted particles that will assemble into a desired structure. Our methodology is easily generalizable, fast and highly selective, and not only accurately reproduces the parameters relevant to four currently realized crystals but also elucidates four currently unobserved structures.

Bibliography

Srinivasan, B., Vo, T., Zhang, Y., Gang, O., Kumar, S., & Venkatasubramanian, V. (2013). Designing DNA-grafted particles that self-assemble into desired crystalline structures using the genetic algorithm. Proceedings of the National Academy of Sciences, 110(46), 18431â18435.

Authors 6

Babji Srinivasan (first)
Thi Vo (additional)
Yugang Zhang (additional)
Oleg Gang (additional)
Sanat Kumar (additional)
Venkat Venkatasubramanian (additional)

References 31 Referenced 59

10.1021/la0637566
10.1038/nature06560
10.1103/PhysRevLett.102.015504
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10.1126/science.1210493
10.1021/nl300679e
10.1038/nature06508
10.1038/nmat2471
10.1073/pnas.0804854105
10.1103/PhysRevLett.105.055502
10.1039/c2sm06635a
10.1039/c0sm00484g
10.1021/ja312644h
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10.1063/1.4748100
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10.1103/PhysRevLett.102.048301
10.1002/aic.690470615
10.1021/ci980209k
10.1016/j.compchemeng.2004.07.002
10.1021/nl034230y
Doppelbauer G Bianchi E Kahl G (2010) Self-assembly scenarios of patchy colloidal particles in two dimensions. J Phys Condens Mat 22(10):104105. (10.1088/0953-8984/22/10/104105)
Nikoubashman A Likos CN (2010) Self-assembled structures of Gaussian nematic particles. J Phys Condens Mat 22(10):104107. (10.1088/0953-8984/22/10/104107)
10.1103/PhysRevE.79.046714
Fornleitner J Kahl G (2008) Lane formation vs. cluster formation in two-dimensional square-shoulder systems—a genetic algorithm approach. EPL 82(1):18001. (10.1209/0295-5075/82/18001)
M Gen, R Cheng Genetic Algorithm and Optimization (John Wiley and Sons, 2000). / Genetic Algorithm and Optimization by Gen M (2000)
10.1016/0098-1354(93)E0023-3
Venkatasubramanian V Chan V Caruthers J (1995) Evolutionary design of molecules with desired properties using the genetic algorithm. J Chem Inf Comp Sci 35:188–195. (10.1021/ci00024a003)
D Thierens, Adaptive mutation rate control schemes in genetic algorithms. P Evol Comput 1, 980–985 (2002). / P Evol Comput / Adaptive mutation rate control schemes in genetic algorithms by Thierens D (2002)

Dates

Type	When
Created	11 years, 9 months ago (Oct. 28, 2013, 11:37 p.m.)
Deposited	3 years, 4 months ago (April 16, 2022, 3:08 a.m.)
Indexed	1 week ago (Aug. 21, 2025, 1:54 p.m.)
Issued	11 years, 10 months ago (Oct. 28, 2013)
Published	11 years, 10 months ago (Oct. 28, 2013)
Published Online	11 years, 10 months ago (Oct. 28, 2013)
Published Print	11 years, 9 months ago (Nov. 12, 2013)

Funders 0

None

BibTeX

@article{Srinivasan_2013, title={Designing DNA-grafted particles that self-assemble into desired crystalline structures using the genetic algorithm}, volume={110}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.1316533110}, DOI={10.1073/pnas.1316533110}, number={46}, journal={Proceedings of the National Academy of Sciences}, publisher={Proceedings of the National Academy of Sciences}, author={Srinivasan, Babji and Vo, Thi and Zhang, Yugang and Gang, Oleg and Kumar, Sanat and Venkatasubramanian, Venkat}, year={2013}, month=oct, pages={18431–18435} }

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