Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&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
Molecular pathway and network analysis tools that have been developed over the past decade provide an emerging systems-wide perspective for the analysis of gene expression, proteomic and metabolomic data. These tools link relevant extracted literature information available from structured knowledge bases with user-friendly features that enable analysis and interpretation of the global impact of a disease stage or drug treatment. Pathway and network analysis tools have been found to have broad applicability within the biomedical community, most specifically in cancer research to elucidate mechanisms of tumor progression and for biomarker discovery, and more recently in the area of drug discovery and development. This review discusses recent applications of pathway and network analysis for predictive in silico modeling in the area of drug discovery and development, including theoretical and practical advances and the implications for their application.
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