Mehr R
Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel.
Arch Immunol Ther Exp (Warsz). 2001;49(2):111-20.
The complexity of biological systems, and the explosion of the quantity of biological information which is rapidly becoming available from experimental and clinical studies, necessitate the use of theoretical tools, namely, mathematical and computational modeling. The vertebrate adaptive immune system, with its learning and memory capabilities, is a particularly rich source of modeling challenges. Most difficult within this area is the study of lymphocyte repertoires--the generation of their diversity and the forces that shape the ever-changing dynamics of lymphocyte clones. I review several examples of problems in lymphocyte repertoire modeling, demonstrate the types of solutions employed, and highlight the contribution of these theoretical studies to immunological research.
生物系统的复杂性，以及从实验和临床研究中迅速可得的生物信息数量的激增，使得使用理论工具成为必要，即数学和计算建模。脊椎动物的适应性免疫系统，具有学习和记忆能力，是建模挑战的一个特别丰富的来源。该领域最困难的是淋巴细胞库的研究——其多样性的产生以及塑造淋巴细胞克隆不断变化动态的力量。我回顾了淋巴细胞库建模中几个问题的例子，展示了所采用的解决方案类型，并强调了这些理论研究对免疫学研究的贡献。
