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Sequences and consequences

机译:顺序和后果

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摘要

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.
机译:将数据转换为知识构成了未来生物学研究的巨大挑战。新的系统生物学科学声称可以解决该问题,但我认为这种方法将失败,因为从复杂系统的行为中推导功能模型是一个无法解决的逆问题。另外,由于所有生物系统的本质都是它们在其基因中被编码为分子描述,并且由于基因是分子并且通过其他分子发挥其功能,因此人们不能轻易地逃脱出高层次的整体方法。了解生物系统的核心。然后,我们解决了根据系统组件及其相互作用来计算系统行为的正向问题。我建议正确的抽象级别是单元格,并提供CELLMAP的概述,CELLMAP是组织生物信息的系统的设计。

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