Perelson A S, Macken C A
Theoretical Division, Los Alamos National Laboratory, NM 87545, USA.
Proc Natl Acad Sci U S A. 1995 Oct 10;92(21):9657-61. doi: 10.1073/pnas.92.21.9657.
We extend an earlier model of protein evolution on a rugged landscape to the case in which the landscape exhibits a variable degree of correlation (i.e., smoothness). Correlation is introduced by assuming that a protein is composed of a set of independent blocks or domains and that mutation in one block affects the contribution of that block alone to the overall fitness of the protein. We study the statistical structure of such landscapes and apply our theory to the evolution by somatic hypermutation of antibody molecules composed of framework and complementarity-determining regions. We predict the expected number of replacement mutations in each region.
我们将早期在崎岖景观上的蛋白质进化模型扩展到景观呈现可变程度相关性(即平滑度)的情况。通过假设蛋白质由一组独立的模块或结构域组成,且一个模块中的突变仅影响该模块对蛋白质整体适应性的贡献来引入相关性。我们研究此类景观的统计结构,并将我们的理论应用于由框架区和互补决定区组成的抗体分子的体细胞超突变进化。我们预测每个区域中替换突变的预期数量。