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
Information of metabolic enzymes and transporters, physiological parameters of animals and demography of Chinese people were integrated to establish a digital liver model (DLM) based on metabolism and transporter and coded with VBA. Clearance and drug-drug interaction (DDI) of candidate drugs in animal and human could be predicted based on the pharmacokinetic data obtained from in vitro and in vivo experiments. Pravastatin and pitavastatin were selected as the samples to examine this model, where their clearance and their DDI with cyclosporine were predicted. The results showed that the predicted values of median parameters in same species were within twofold of observed values for 83.3% (5/6). The program's successful prediction in DDI tendency might indicate its application in optimizing the dosage regimen and reducing the risk of clinical trial.
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