Skip to main content

Using DNA to Generate 3D Organic Art Forms

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 4974)

Abstract

A novel biological software approach to define and evolve 3D computer art forms is described based on a re-implementation of the FormGrow system produced by Latham and Todd at IBM in the early 1990’s. This original work is extended by using DNA sequences as the input to generate complex organic-like forms. The translation of the DNA data to 3D graphic form is performed by two contrasting processes, one intuitive and one informed by the biochemistry. The former involves the development of novel, but simple, look-up tables to generate a code list of functions such as the twisting, bending, stacking, and scaling and their associated parametric values such as angle and scale. The latter involves an analysis of the biochemical properties of the proteins encoded by genes in DNA, which are used to control the parameters of a fixed FormGrow structure. The resulting 3D data sets are then rendered using conventional techniques to create visually appealing art forms. The system maps DNA data into an alternative multi-dimensional space with strong graphic visual features such as intricate branching structures and complex folding. The potential use in scientific visualisation is illustrated by two examples. Forms representing the sickle cell anaemia mutation demonstrate how a point mutation can have a dramatic effect. An animation illustrating the divergent evolution of two proteins with a common ancestor provides a compelling view of an evolutionary process lost in millions of years of natural history.

Keywords

  • Sickle Cell Anaemia
  • Cellular Automaton
  • Ancestral Sequence
  • Shape Grammar
  • Argininosuccinate Lyase

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-540-78761-7_46
  • Chapter length: 10 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   129.00
Price excludes VAT (USA)
  • ISBN: 978-3-540-78761-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   169.00
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Todd, S., Latham, W.: Evolutionary Art and Computers. Academic Press, London (1992)

    MATH  Google Scholar 

  2. Latham, W.: Form Synth. In: Computers in Art, Design and Animation, Springer, Heidelberg (1989)

    Google Scholar 

  3. Latham, W., Todd, S.: Computer sculpture. IBM Systems Journal 28(4), 682–688 (1989)

    Google Scholar 

  4. Burridge, J.M., et al.: The WINSOM solid modeller. IBM Systems Journal 28(4) (1989)

    Google Scholar 

  5. Todd, S., Latham, W.: Artificial life or surreal art? In: Varela, F.J., Bourgine, P. (eds.) Toward a Practice of Autonomous Systems (A Bradford Book), pp. 504–513. MIT Press, Cambridge (1992)

    Google Scholar 

  6. Bentley, P.J. (ed.): Evolutionary Design by Computers. Morgan Kaufmann, San Francisco (1999)

    MATH  Google Scholar 

  7. Sims, K.: Artificial evolution for computer graphics. Computer Graphics 25(4) (1991)

    Google Scholar 

  8. Sims, K.: Evolving 3D morphology and behavior. In: Proc. of Artificial Life IV (1994)

    Google Scholar 

  9. Prusinkiewicz, P., Lindenmayer, A.: The Algorithmics Beauty of Plants. Springer, Heidelberg (1990)

    Google Scholar 

  10. Leyton, M.: A process grammar for shape. A.I. Journal 34(2), 213–247 (1988)

    Google Scholar 

  11. Leyton, M.: A Generative Theory of Shape. LNCS, vol. 2145. Springer, Heidelberg (2001)

    MATH  Google Scholar 

  12. Whitelaw, M.: Metacreation — Art and Artificial Life. MIT Press, Cambridge (2004)

    Google Scholar 

  13. Leymarie, F.F.: Aesthetic computing and shape. In: Fishwick, P. (ed.) Aesthetic Computing. Leonardo Books, pp. 259–288. MIT Press, Cambridge (2006)

    Google Scholar 

  14. Lord, E.A., Wilson, C.B.: Math. Description of Shape and Form. Halsted Press (1984)

    Google Scholar 

  15. Lindenmayer, A.: Mathematical models for cellular interactions in development: Parts I and II. Journal of Theoretical Biology 18, 280–315 (1968)

    CrossRef  Google Scholar 

  16. Ferraro, P., et al.: Toward a quantification of self-similarity in plants. Fractals 13(2) (2005)

    Google Scholar 

  17. Wolfram, S.: Cellular Automata and Complexity: Collected Papers. Addison-Wesley, Reading (1994)

    MATH  Google Scholar 

  18. Deutsch, A., Dormann, S.: Cellular Automaton Modeling of Biological Pattern Formation. In: Modeling and Simulation in Science, Engineering and Technology, Birkhäuser (2005)

    Google Scholar 

  19. McCormack, J.: Aesthetic evolution of L-systems revisited. In: Raidl, G.R., et al. (eds.) EvoWorkshops 2004. LNCS, vol. 3005, pp. 477–488. Springer, Heidelberg (2004)

    Google Scholar 

  20. Dawkins, R.: The Blind Watchmaker. Penguin Books (1986)

    Google Scholar 

  21. Kumar, S., Bentley, P.J. (eds.): On Growth, Form and Computers. Elsevier, Amsterdam (2003)

    Google Scholar 

  22. Taylor, W.R.: The classification of amino acid conservation. J. Theor. Biology 119 (1986)

    Google Scholar 

  23. Shamim, M.T.A., et al.: Support vector machine-based classification of protein folds. Bioinformatics 23(24), 3320–3327 (2007)

    CrossRef  Google Scholar 

  24. Cai, W., Pei, J., Grishin, N.V.: Reconstruction of ancestral protein sequences and its applications. BMC Evolutionary Biology 4(33) (2004)

    Google Scholar 

  25. Finn, R.F., et al.: Pfam: clans, web tools & services. Nucleic Acids Res. 34, D247–51 (2006)

    Google Scholar 

  26. Wu, C.H., et al.: The universal protein resource. Nucleic Acids Res. 34, D187–91 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Latham, W., Shaw, M., Todd, S., Leymarie, F.F., Jefferys, B., Kelley, L. (2008). Using DNA to Generate 3D Organic Art Forms. In: , et al. Applications of Evolutionary Computing. EvoWorkshops 2008. Lecture Notes in Computer Science, vol 4974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78761-7_46

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-78761-7_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78760-0

  • Online ISBN: 978-3-540-78761-7

  • eBook Packages: Computer ScienceComputer Science (R0)