合成生物学
新颖性
计算机科学
功能(生物学)
数据科学
系统生物学
生命系统
管理科学
人工智能
生物
计算生物学
工程类
神学
进化生物学
哲学
作者
Michiel Stock,Thomas E. Gorochowski
出处
期刊:Science Advances
[American Association for the Advancement of Science (AAAS)]
日期:2024-01-19
卷期号:10 (3)
标识
DOI:10.1126/sciadv.adi3621
摘要
Design in synthetic biology is typically goal oriented, aiming to repurpose or optimize existing biological functions, augmenting biology with new-to-nature capabilities, or creating life-like systems from scratch. While the field has seen many advances, bottlenecks in the complexity of the systems built are emerging and designs that function in the lab often fail when used in real-world contexts. Here, we propose an open-ended approach to biological design, with the novelty of designed biology being at least as important as how well it fulfils its goal. Rather than solely focusing on optimization toward a single best design, designing with novelty in mind may allow us to move beyond the diminishing returns we see in performance for most engineered biology. Research from the artificial life community has demonstrated that embracing novelty can automatically generate innovative and unexpected solutions to challenging problems beyond local optima. Synthetic biology offers the ideal playground to explore more creative approaches to biological design.
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