Van Regenmortel Marc H V
School of Biotechnology, CNRS, University of Strasbourg, Strasbourg, France.
Front Immunol. 2018 Jan 12;8:2009. doi: 10.3389/fimmu.2017.02009. eCollection 2017.
Hypotheses and theories are essential constituents of the scientific method. Many vaccinologists are unaware that the problems they try to solve are mostly inverse problems that consist in imagining what could bring about a desired outcome. An inverse problem starts with the result and tries to guess what are the multiple causes that could have produced it. Compared to the usual direct scientific problems that start with the causes and derive or calculate the results using deductive reasoning and known mechanisms, solving an inverse problem uses a less reliable inductive approach and requires the development of a theoretical model that may have different solutions or none at all. Unsuccessful attempts to solve inverse problems in HIV vaccinology by reductionist methods, systems biology and structure-based reverse vaccinology are described. The popular strategy known as rational vaccine design is unable to solve the multiple inverse problems faced by HIV vaccine developers. The term "rational" is derived from "rational drug design" which uses the 3D structure of a biological target for designing molecules that will selectively bind to it and inhibit its biological activity. In vaccine design, however, the word "rational" simply means that the investigator is concentrating on parts of the system for which molecular information is available. The economist and Nobel laureate Herbert Simon introduced the concept of "bounded rationality" to explain why the complexity of the world economic system makes it impossible, for instance, to predict an event like the financial crash of 2007-2008. Humans always operate under unavoidable constraints such as insufficient information, a limited capacity to process huge amounts of data and a limited amount of time available to reach a decision. Such limitations always prevent us from achieving the complete understanding and optimization of a complex system that would be needed to achieve a truly rational design process. This is why the complexity of the human immune system prevents us from rationally designing an HIV vaccine by solving inverse problems.
假设和理论是科学方法的重要组成部分。许多疫苗学家并未意识到,他们试图解决的问题大多是逆问题,即设想什么可能导致期望的结果。逆问题从结果出发,试图猜测可能产生该结果的多种原因。与通常从原因出发、利用演绎推理和已知机制推导或计算结果的直接科学问题相比,解决逆问题采用的是可靠性较低的归纳方法,并且需要构建一个可能有不同解决方案或根本没有解决方案的理论模型。文中描述了在HIV疫苗学中,采用还原论方法、系统生物学和基于结构的反向疫苗学来解决逆问题的失败尝试。被称为合理疫苗设计的流行策略无法解决HIV疫苗开发者面临的多个逆问题。“合理”一词源自“合理药物设计”,后者利用生物靶点的三维结构来设计能选择性结合并抑制其生物活性的分子。然而,在疫苗设计中,“合理”一词仅仅意味着研究者专注于系统中可获取分子信息的部分。经济学家兼诺贝尔奖获得者赫伯特·西蒙引入了“有限理性”的概念,以解释为何世界经济系统的复杂性使得预测诸如2007 - 2008年金融危机这样的事件变得不可能。人类总是在不可避免的限制条件下运作,比如信息不足、处理大量数据的能力有限以及做出决策的时间有限。这些限制总是阻碍我们实现对复杂系统的全面理解和优化,而这是实现真正合理的设计过程所必需的。这就是为什么人类免疫系统的复杂性使我们无法通过解决逆问题来合理设计HIV疫苗。