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
Objective: To construct protein functional network according to the physiological process in vivo and functionally based distinct families, to understand biological functions, and to make wise decisions.
Methods: We described here a very effective strategy combining with multiple-docking and protein-ligand binding-affinity fingerprint method to generate bio-functional network and pathway and reveal the protein "unknown" functions and their relationship.
Results: Totally 27 sets of proteins and 28 bio-active molecules were used to reconstruct the possible phospholipids metabolic network by computational simulation strategy. The protein-ligand network reconstruction and pathway based drug design showed that the direct interaction investigation might be effective in complex biological system study.
Conclusion: Even for weak and moderate interactions in the real biology system, the relationship between each other can be achieved by fingerprint analysis based on multiple-docking data. The results of these calculations give valuable insight into the pathway and the function relationship among these proteins. This method can be a very useful tool for protein classification, target selection, and inhibitor design.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.11817/j.issn.1672-7347.2014.06.001 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!