Anderson R M
Department of Zoology, University of Oxford, UK.
Science. 1994 Jun 24;264(5167):1884-6. doi: 10.1126/science.8009218.
The techniques that underpin modern molecular biology have been rapidly adopted by those interested in the major parasitic infections of humans. The parasitological literature is full of reports of genes and their amino acid sequences, of molecules, of cell membrane receptors and channels, and of the fine details of the immunological responses mounted by the host to combat infection. Much less enthusiasm has been shown for the mathematical techniques that facilitate the analysis and interpretation of dynamical processes such as transmission, evolution, and the interplay between parasite population growth and immunological responses within the host. Molecular techniques provide enormous opportunities for description, but ultimately, understanding biological systems with the precision that physicists and engineers aspire to in their own fields will require quantitative description of the many rate processes that dictate both an observed pattern and the dynamics of its change.
支撑现代分子生物学的技术已被那些关注人类主要寄生虫感染的人迅速采用。寄生虫学文献中充斥着关于基因及其氨基酸序列、分子、细胞膜受体和通道的报道,以及宿主为对抗感染而产生的免疫反应的详细细节。然而,对于有助于分析和解释诸如传播、进化以及宿主内寄生虫种群增长与免疫反应之间相互作用等动态过程的数学技术,人们的热情则要低得多。分子技术为描述提供了巨大的机会,但最终,要像物理学家和工程师在各自领域所期望的那样精确地理解生物系统,将需要对许多速率过程进行定量描述,这些速率过程决定了观察到的模式及其变化的动态。