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Can an Engineer Fix an Immune System?–Rethinking theoretical biology

机译:工程师可以修复免疫系统吗?–对理论生物学的反思

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In an instant classic paper (Lazebnik, in Cancer Cell 2(3); 2002: 179–182) biologist Yuri Lazebnik deplores the poor effectiveness of the approach adopted by biologists to understand and “fix” biological systems. Lazebnik suggests that to remedy this state of things biologist should take inspiration from the approach used by engineers to design, understand, and troubleshoot technological systems. In the present paper I substantiate Lazebnik’s analysis by concretely showing how to apply the engineering approach to biological problems. I use an actual example of electronic circuit troubleshooting to ground the thesis that, in engineering, the crucial phases of any non-trivial troubleshooting process are aimed at generating a mechanistic explanation of the functioning of the system, which makes extensive recourse to problem-driven qualitative reasoning possibly based on cognitive artifacts applied to systems that are known to have been designed for function. To show how to translate these findings into biological practice I consider a concrete example of biological model building and “troubleshooting”, aimed at the identification of a “fix” for the human immune system in presence of progressing cancer, autoimmune disease, and transplant rejection. The result is a novel immune system model—the danger model with regulatory cells— and new, original hypotheses concerning the development, prophylaxis, and therapy of these unwanted biological processes. Based on the manifest efficacy of the proposed approach, I suggest a refocusing of the activity of theoretical biologists along the engineering-inspired lines illustrated in the paper.
机译:在即时的经典论文中(Lazebnik,在Cancer Cell 2(3); 2002:179-182中),生物学家Yuri Lazebnik对生物学家为理解和“修复”生物系统所采用的方法的有效性不佳感到遗憾。 Lazebnik建议,为了纠正这种情况,生物学家应该从工程师用来设计,理解技术系统和对技术系统进行故障排除的方法中汲取灵感。在本文中,我通过具体展示如何将工程方法应用于生物学问题来证实Lazebnik的分析。我以一个电子电路故障排除的实际示例为基础,得出以下论点:在工程学中,任何不重要的故障排除过程的关键阶段都旨在生成系统功能的机械解释,从而广泛地采用问题驱动的方法。定性推理可能基于应用于已知已设计用于功能的系统的认知伪像。为了展示如何将这些发现转化为生物学实践,我考虑了生物学模型构建和“故障排除”的具体示例,旨在识别存在癌症,自身免疫性疾病和移植排斥的人类免疫系统的“修复方法” 。结果就是建立了一个新颖的免疫系统模型-具有调节细胞的危险模型-以及有关这些有害生物过程的发展,预防和治疗的新的原始假设。基于提出的方法的明显功效,我建议按照论文中阐明的工程学思路重新关注理论生物学家的活动。

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