The Axes of Life: A Roadmap for Understanding Dynamic Multiscale Systems
The Axes of Life: A Roadmap for Understanding Dynamic Multiscale Systems
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DOI：
10.1093/icb/icab114
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发表时间：
2022-02-05
影响因子：
2.6
通讯作者：
Wolgemuth, Charles
中科院分区：
文献类型：
--
作者：
Chandrasekaran, Sriram;Danos, Nicole;Wolgemuth, Charles
人类面临的生物挑战是复杂的，多因素的，与我们的健康，福利和地球管理的未来密切相关。解决农业、生态和医疗保健等不同领域的问题需要将包含众多组件和时空尺度的庞大数据集连接起来。在这里，我们提供了一个新的框架和路线图，使用实验和计算来理解跨越多个尺度的动态生物系统。我们讨论的理论，可以帮助理解复杂的生物系统，并强调现有方法的局限性，并建议数据生成的做法。大数据分析和人工智能等新技术的出现可以帮助弥合不同规模和数据类型。我们推荐了一些方法，使这些模型透明，与现有的生物功能理论兼容，并使生物数据集可由先进的机器学习算法读取。总的来说，应对紧迫的生物挑战的障碍不仅是技术上的，而且是社会学上的。因此，我们还提供了促进科学家之间的跨学科互动的建议。
Synopsis The biological challenges facing humanity are complex, multi-factorial, and are intimately tied to the future of our health, welfare, and stewardship of the Earth. Tackling problems in diverse areas, such as agriculture, ecology, and health care require linking vast datasets that encompass numerous components and spatio-temporal scales. Here, we provide a new framework and a road map for using experiments and computation to understand dynamic biological systems that span multiple scales. We discuss theories that can help understand complex biological systems and highlight the limitations of existing methodologies and recommend data generation practices. The advent of new technologies such as big data analytics and artificial intelligence can help bridge different scales and data types. We recommend ways to make such models transparent, compatible with existing theories of biological function, and to make biological data sets readable by advanced machine learning algorithms. Overall, the barriers for tackling pressing biological challenges are not only technological, but also sociological. Hence, we also provide recommendations for promoting interdisciplinary interactions between scientists.