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
Thiocarbamates (TCs) have been recently identified as a new class of potent non-nucleoside HIV-1 Reverse Transcriptase (RT) inhibitors. A computational strategy based on molecular docking studies, followed by CoMFA and CoMSIA analyses, has been used to elucidate the atomic details of the RT/TC interactions and to identify the most important features impacting the TC antiretroviral activity. The CoMFA model resulted to be the more predictive, and gave r(2)=0.93, r(cv)(2)=0.53, SEE=0.292, F=180, and r(test)(2)=0.70. The 3D-QSAR field contributions and the structural features of the RT binding site showed a good correlation. These studies will be useful to design new TCs with improved potency also against clinically relevant resistant mutants.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1016/j.ejmech.2008.10.014 | DOI Listing |
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