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
DEL selections are binding assays conducted with mixtures of chemically diverse DNA-tagged ligands and a screening target. DEL selections use DNA sequence counts to measure target binding, where ideally higher affinity ligands will have higher counts than weaker affinity ligands. However, there is not always a clear relationship between DNA sequence count (assay signal) and binding affinity. This disconnect may be due to the fidelity of library chemistry, where reactions often do not go to completion, and also to repetitive rounds of binding and elution that are standard practice in most DEL selection experiments. We describe here a strategy that addresses both of these issues and provides a means to calculate ligand affinity from primary selection data. The reaction yields of selected compounds during DEL library synthesis can also be predicted with this method.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1016/j.bbrc.2020.04.029 | DOI Listing |
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