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 powerful inhibitory activity of podophyllotoxin (a natural product) on cell growth led to the development of clinically useful anticancer agents such as etoposide, teniposide, and etopophos. Although, these podophyllotoxin derivatives show good clinical effects against various cancers, its use often results in various undesired side effects, drug resistance, and cytotoxicity towards the normal cells. In order to overcome these limitations, it is essential to search new podophyllotoxin analogues with improved anticancer activity and fewer side effects to gain the maximum benefits for the cancer patients. With this purpose, the cytotoxicity data of two series of podophyllotoxin derivatives against four different cancer cell lines was used to develop 4 QSAR models. Hydrophobic property of the molecules was found one of the most important determining factors for their activity. The developed QSAR models showed a good correlative and predictive abilities having r(2) = 0.960 to 0.836 and q(2) = 0.911 to 0.705. On the basis of QSAR 1, two compounds (10-10 and 10-11) are suggested as potential synthetic targets. Statistical diagnostics and internal validation (cross validation and Y-randomization) tests have validated all the QSAR models. These QSAR models could be useful in the rational design of potential drug molecules with an enhanced inhibitory potency.
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Source |
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http://dx.doi.org/10.2174/157340610791321488 | DOI Listing |
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