Modeling Three-Dimensional Geometric Shapes from Nucleic Acid Sequences Using a Computerized Numerical Control
International Journal of Clinical and Experimental Medical Sciences
Volume 5, Issue 3, May 2019, Pages: 49-52
Received: Jul. 14, 2019; Accepted: Aug. 5, 2019; Published: Aug. 16, 2019
Views 485      Downloads 79
Bandar Ali Suliman, Department of Medical Laboratory Technology, College of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia
Article Tools
Follow on us
The nucleic acid sequence is an astonishing and a complicated coding system that is capable of producing a complete human body with of its molecules, cells, tissue and organs. Nucleic acid has been used in many fields of sciences for the preservation and encoding of different types of information. The current project describes the use of a computerized numerical control device to form 3D geometric shapes from nucleic acid sequences. The device employs dynamic algorithms to store and then identify the strings of letters of the nucleic acid sequence, transforming them into trigonometric matrices of continues triangular codes and ultimately translating each one of matrix codes into points in 3D space to construct three-dimensional geometric shapes. This method is useful for storing architectural design and blueprints, as well as, helping to establish a standardized coding technology for 3D printing devices.
DNA Sequence, 3D Structure, Medical Coding
To cite this article
Bandar Ali Suliman, Modeling Three-Dimensional Geometric Shapes from Nucleic Acid Sequences Using a Computerized Numerical Control, International Journal of Clinical and Experimental Medical Sciences. Vol. 5, No. 3, 2019, pp. 49-52. doi: 10.11648/j.ijcems.20190503.12
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Wang, A. H.-J., et al., Molecular structure of a left-handed double helical DNA fragment at atomic resolution. Nature, 1979. 282 (5740): p. 680.
Soutourina, J., Transcription regulation by the Mediator complex. Nature reviews Molecular cell biology, 2018. 19 (4): p. 262.
Drew, H. R., et al., Structure of a B-DNA dodecamer: conformation and dynamics. Proceedings of the National Academy of Sciences, 1981. 78 (4): p. 2179-2183.
Tokura, Y., et al., Fabrication of Defined Polydopamine Nanostructures by DNA Origami‐Templated Polymerization. Angewandte Chemie International Edition, 2018. 57 (6): p. 1587-1591.
Wang, Z., et al., Discovery of the DNA “genetic code” for abiological gold nanoparticle morphologies. Angewandte Chemie International Edition, 2012. 51 (36): p. 9078-9082.
Zhou, W., et al., Design Rules for Template‐Confined DNA‐Mediated Nanoparticle Assembly. Small, 2018. 14 (44): p. 1802742.
Shahbazi, M. A., T. Bauleth‐Ramos, and H. A. Santos, DNA hydrogel assemblies: Bridging synthesis principles to biomedical applications. Advanced Therapeutics, 2018. 1 (4): p. 1800042.
Loo, A. H., C. K. Chua, and M. Pumera, DNA biosensing with 3D printing technology. Analyst, 2017. 142 (2): p. 279-283.
Wang, L., et al., Synthetic genomics: from DNA synthesis to genome design. Angewandte Chemie International Edition, 2018. 57 (7): p. 1748-1756.
Qiang, Z., X. Xianglian, and W. Xiaopeng, Digital image encryption method based on DNA sequence and multi-chaotic mapping, in Baidu Zhuanli, National Intellectual Property Administration, Editor. 2009: China.
Xin, J., et al., Image encryption method based on information entropy and a spatiotemporal chaotic system, in Baidu Zhuanli, National Intellectual Property Administration, Editor. 2015: China.
Goldman, N., et al., Towards practical, high-capacity, low-maintenance information storage in synthesized DNA. Nature, 2013. 494 (7435): p. 77.
Cox, J. P., Long-term data storage in DNA. TRENDS in Biotechnology, 2001. 19 (7): p. 247-250.
Liu, C., et al., DNA barcode goes two-dimensions: DNA QR code web server. PloS one, 2012. 7 (5): p. e35146.
Donohoue, P. D., R. Barrangou, and A. P. May, Advances in industrial biotechnology using CRISPR-Cas systems. Trends in Biotechnology, 2018. 36 (2): p. 134-146.
Katz, L., et al., Synthetic biology advances and applications in the biotechnology industry: a perspective. Journal of industrial microbiology & biotechnology, 2018. 45 (7): p. 449-461.
Rappoport, A. and S. Spitz. Interactive boolean operations for conceptual design of 3-d solids. in Siggraph. 1997.
Sparrow, C., The Lorenz equations: bifurcations, chaos, and strange attractors. Vol. 41. 2012: Springer Science & Business Media.
Suliman, B. A., A two-dimensional triangular medical coding system for storing and reporting medical information. Biomedical Research, 2019. 30 (4): p. 521-523.
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186