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
Fragment-based drug discovery has gained a foothold in today's lead identification processes. We present the application of in silico fragment-based screening for the discovery of novel lead compounds for the metalloendoproteinase thermolysin. We have chosen thermolysin to validate our screening approach as it is a well-studied enzyme and serves as a model system for other proteases. A protein-targeted virtual library was designed and screening was carried out using the program AutoDock. Two fragment hits could be identified. For one of them, the crystal structure in complex with thermolysin is presented. This compound was selected for structure-based optimization of binding affinity and improvement of ligand efficiency, while concomitantly keeping the fragment-like properties of the initial hit. Redesigning the zinc coordination group revealed a novel class of fragments possessing K(i) values as low as 128 microM, thus they provide a good starting point for further hit evolution in a tailored lead design.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1002/cmdc.201000084 | DOI Listing |
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