New opportunities in design often surface with scientific advances, however, the rapid pace of scientific findings in biological domains, and their complexity, may impede effective technological design. This paper addresses such challenges through weaving phases of scientific discovery, analytical description, and technological design in an integrative “d3 Methodology.” The method is implemented using human-guided automated processes developed with cognitive-based considerations. A case study of designing myosin bio-libraries is specifically investigated, and optimization results suggest that bio-libraries of designed synthetic isoforms have advantages over natural isoforms. The findings are motivating for future scientific endeavors to investigate the benefits of designed myosins, thus demonstrating reciprocity among design and science. The successes in implementing each d3 phase suggests the methodology is a feasible approach for nanoscale biosystems design, and is well-suited for driving the scientific inquiries of today towards the novel technologies of tomorrow.
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ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 2–5, 2015
Boston, Massachusetts, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5717-5
PROCEEDINGS PAPER
The D3 Science-to-Design Methodology: Automated and Cognitive-Based Processes for Discovering, Describing, and Designing Complex Nanomechanical Biosystems
Paul Egan,
Paul Egan
Carnegie Mellon University, Pittsburgh, PA
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Jonathan Cagan,
Jonathan Cagan
Carnegie Mellon University, Pittsburgh, PA
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Christian Schunn,
Christian Schunn
University of Pittsburgh, Pittsburgh, PA
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Philip LeDuc,
Philip LeDuc
Carnegie Mellon University, Pittsburgh, PA
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Jeffrey Moore,
Jeffrey Moore
Boston University School of Medicine, Boston, MA
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Felix Chiu
Felix Chiu
Carnegie Mellon University, Pittsburgh, PA
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Paul Egan
Carnegie Mellon University, Pittsburgh, PA
Jonathan Cagan
Carnegie Mellon University, Pittsburgh, PA
Christian Schunn
University of Pittsburgh, Pittsburgh, PA
Philip LeDuc
Carnegie Mellon University, Pittsburgh, PA
Jeffrey Moore
Boston University School of Medicine, Boston, MA
Felix Chiu
Carnegie Mellon University, Pittsburgh, PA
Paper No:
DETC2015-47466, V007T06A027; 9 pages
Published Online:
January 19, 2016
Citation
Egan, P, Cagan, J, Schunn, C, LeDuc, P, Moore, J, & Chiu, F. "The D3 Science-to-Design Methodology: Automated and Cognitive-Based Processes for Discovering, Describing, and Designing Complex Nanomechanical Biosystems." Proceedings of the ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 7: 27th International Conference on Design Theory and Methodology. Boston, Massachusetts, USA. August 2–5, 2015. V007T06A027. ASME. https://doi.org/10.1115/DETC2015-47466
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