•  
  •  
 

Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

biotechnology; information technology; converge; engineering

Document Type

Article

Abstract

Life is an open information system that is self-replicating, adaptive, and self-organizing. The collection, processing, storage, integration, and analysis of biological information based on modern information technology (IT) propel life science research into the Fourth Paradigm of "Data-Intensive Scientific Discovery", which definitely will make biotechnology (BT) toward a quantitative, computable, controllable, and predictable direction. Meanwhile, from the expression and regulation of genes to the information exchange and processing of neurons, information processing in organisms has infinitely inspired the development of information technology. From this perspective, the convergent development approach of BT and IT has its own essences in discipline connotation, laws of engineering development, demands of our time and society, and has brought about the ever-changing research paradigm, the ever-increasing innovation and breakthrough, and the increasingly extensive application scenarios. So in this way, it is of great significance to seize the commanding heights of both technology and industry competition.

First page

34

Last Page

42

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

Schrödinger E. What is Life? The Physical Aspect of the Living Cell. Cambridge:Cambridge University Press, 1944.

Hood L. Systems biology:New opportunities arising from genomics, proteomics and beyond. Experimental Hematology, 1998, 26(8):681.

Auffray C, Charron D, Hood L. Predictive, preventive, personalized and participatory medicine:Back to the future. Genome Medicine, 2010, 2:57.

Iglesias P A, Ingalls B P. Control Theory and Systems Biology. Cambridge:The MIT Press, 2009.

陈润生.生物信息学.生物物理学报, 1999, 15(1):5-12.

Hey T, Tansley S, Tolle K. The Fourth Paradigm:DataIntensive Scientific Discovery. Redmond, WA:Microsoft Research, 2009.

Esvelt K M, Wang H H. Genome-scale engineering for systems and synthetic biology. Molecular Systems Biology, 2013, 9:641.

Roco M C, Bainbridge W S. Converging technologies for improving human performance:Integrating from the nanoscale. Journal of Nanoparticle Research, 2002, 4(4):281-295.

Fell T, Ward S, Gershater M, et al. Computer Aided Biology, Delivering biotechnology in the 21st century. London:Synthace Limited, 2018.

Kell D B, Oliver S G. Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era. BioEssays, 2004, 26(1):99-105.

Cornelius C. Science in the national vision for space exploration:Objectives and constituencies of the 'discoverydriven' paradigm. Space Policy, 2005, 21(1):41-48.

National Academies of Sciences, Engineering, and Medicine. Science Breakthroughs to Advance Food and Agricultural Research by 2030. Washington DC:The National Academies Press, 2019.

Download
Request a Copy

Share

COinS