FVAKnock a new strain optimization method for predicting genetic manipulation targets

来源 :第六届全国生物信息学与系统生物学学术大会暨国际生物信息学前沿研讨会 | 被引量 : 0次 | 上传用户:zxbleng
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
  Background: With the development of genome-scale models of metabolism and phenotype simulation methods, a number of strain optimization methods for predicting genetic manipulation targets that lead to overproduction of compounds of interest have been proposed.Most of them attempt to identify gene deletion strategies by coupling biomass formation with chemical production.However, the production of most metabolites cant be coupled with cellular growth.
其他文献
  Background: Particulate matter (PM) air pollution poses a formidable public health threat to the city of Beijing.Among the various hazards of PM pollutants,
  Background: Protein coding gene annotation errors in prokaryotic genomes are accumulating continually, which decrease the quality of bioinformatics database
  Background: Protein phosphorylationis one of the most important and essential post-translational modifications (PTMs).It plays a crucial role in a wide rang
  The basis of modem biology is evolution.The basic structure of organisms is similar among different species, all encoded by the same bases at the genetic le
  Background: High-throughput chromosome conformation capture studies suggest that eukaryotic genomes are organized into partially tissue-invariant structures
  Voltage-gated sodium (Nay) channels are critical in the generation and transmission of neuronal signals.The crystal structures of several prokaryotic Nay ch
  Background: Similar to animals, plants highly rely on the immune system as a defense against pathogens.It is well established that plants can perceive patho
  Background: Extracellular electron transfer (EET) is the key feature of some bacteria, such as Geobacter sulfurreducens and Shewanella oneidensis.Via EET pr
  Background: The system of Escherichia coli infected by bacteriophage λ is a well-studied paradigm for studying regulatory network.
  Background: Hundreds of genome scale metabolic networks have been reconstructed based on genome annotation information.System-level analysis of these networ