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
Genomics and its technologies are being integrated into drug discovery research for three purposes; to find novel target molecules, to evaluate pharmaceutical efficacy and safety on a genome scale, and to select patients in terms of their genetic polymorphisms. Search for novel targets has been focused on G protein-coupled receptors and enzyme families such as protein kinases, protein phosphatases and proteases. The targets selected are validated in vivo with knockout mice or by administration with antibodies or antisense nucleotide derivatives. In connection with the validation, chronology on anti-platelet therapeutics through antibodies is referred to. Among genomic polymorphisms on drug response of patients, those of drug metabolizing enzymes are important for personalized medicine. Lastly, diversification of therapeutics aiming at personalized medicine is discussed in comparison with diversities of automobiles and living creatures, suggesting a novel concept, 'digital medicine'.
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