Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Metabolic engineering seeks to reprogram cells to efficiently produce value-added chemicals. Traditionally, this is achieved by overexpressing the production pathway and/or knocking out competing endogenous pathways. However, limitations in some pathways are more effectively addressed through dynamic metabolic flux control to favor different cellular objectives over the course of the fermentation. Dynamic control circuits can autonomously actuate changes in metabolic fluxes in response to changing fermentation conditions, cell density, or metabolite concentrations. In this review, we discuss recent studies focused on multiplexed autonomous strategies which (1) combine regulatory circuits to control metabolic flux at multiple nodes or (2) respond to more than one input signal. These strategies have the potential to address challenging pathway scenarios, actuate more complex response profiles, and improve the specificity of the criteria that actuate the dynamic response.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1016/j.copbio.2020.02.015 | DOI Listing |
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