Sequences and consequences.
Sequences and consequences.
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DOI：
10.1098/rstb.2009.0221
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发表时间：
2010-01-12
期刊：
影响因子：
--
通讯作者：
Brenner S
中科院分区：
文献类型：
--
作者：
Brenner S
将数据转化为知识是未来生物学研究的一大挑战。系统生物学的新科学声称能够解决这个问题，但我认为这种方法将失败，因为从复杂系统的行为中推导出功能模型是一个不可能解决的逆问题。此外，人们不能轻易地逃避到高层次的整体方法，因为所有生物系统的本质是它们在其基因中被编码为分子描述，因为基因是分子，并通过其他分子发挥其功能，分子解释必须构成理解生物系统的核心。然后，我们解决了计算系统的行为，从其组件和它们的相互作用的前向问题。我建议正确的抽象层次是细胞，并提供了Cellmap的概要，这是一个组织生物信息的系统设计。
The conversion of data into knowledge constitutes a great challenge for future biological research. The new science of Systems Biology claims to be able to solve the problem but I contend that this approach will fail because deducing models of function from the behaviour of a complex system is an inverse problem that is impossible to solve. In addition, one cannot easily escape into high-level holistic approaches, since the essence of all biological systems is that they are encoded as molecular descriptions in their genes and since genes are molecules and exert their functions through other molecules, the molecular explanation must constitute the core of understanding biological systems. We then solve the forward problem of computing the behaviour of the system from its components and their interactions. I propose that the correct level of abstraction is the cell and provide an outline of Cellmap, a design for a system to organize biological information.
DOI：
10.1098/rstb.1999.0535
发表时间：
1999-12-29
期刊：
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES B-BIOLOGICAL SCIENCES
影响因子：
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作者：
Brenner, S
通讯作者：
Brenner, S
影响因子：
64.8
作者：
Nurse, Paul
通讯作者：
Nurse, Paul