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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
A system dynamics structure to characterize the link between technology and critical management decisions in the drug discovery process (DDP) is needed. The DDP includes many interacting feedback loops that impact decisions executed in early stages and that influence performance in later development stages. The complexity of the DDP and the absence of systemic perspective, contributes imprecision to decision-makers' own mental models, and limits their ability to generate decisions that provoke genuine process improvements. Hence, the emergence and use of new integrated technology- and knowledge-based approaches bridge to R&D concern at least early attrition rates, critical high-content chemical lead value identification and time delay reduction for the early phase DDP.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1016/j.drudis.2008.04.003 | DOI Listing |
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