Suppr超能文献

系统生物学方法预测基因组进化。

Systems-biology approaches for predicting genomic evolution.

机构信息

Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Center, Temesvári krt. 62, H-6726 Szeged, Hungary.

出版信息

Nat Rev Genet. 2011 Aug 2;12(9):591-602. doi: 10.1038/nrg3033.

Abstract

Is evolution predictable at the molecular level? The ambitious goal to answer this question requires an understanding of the mutational effects that govern the complex relationship between genotype and phenotype. In practice, it involves integrating systems-biology modelling, microbial laboratory evolution experiments and large-scale mutational analyses - a feat that is made possible by the recent availability of the necessary computational tools and experimental techniques. This Review investigates recent progresses in mapping evolutionary trajectories and discusses the degree to which these predictions are realistic.

摘要

在分子水平上,进化可以预测吗?要回答这个问题,需要了解控制基因型和表型之间复杂关系的突变效应。实际上,这需要整合系统生物学建模、微生物实验室进化实验和大规模突变分析——这些都得益于最近出现的必要计算工具和实验技术。本文综述了绘制进化轨迹的最新进展,并讨论了这些预测在多大程度上是现实的。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验