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
The importance of striving for and maintaining drug-like physicochemical properties during the hit and lead optimization process is now well documented, and many published studies have suggested optimal ranges and/or limits for key molecule descriptors such as size, lipophilicity, H-bonding characteristics, rotatable bond and aromatic ring counts, particularly with regard to the design of orally administered drugs. The aim of this article is to review various approaches that have been used to represent molecule properties graphically in the context of oral 'drug likeness', with the goal of improving the decision making of medicinal chemists during the drug discovery process.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1016/j.drudis.2010.11.002 | DOI Listing |
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