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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
TGF-beta isoforms are key modulators of a broad range of biological pathways and increasingly are exploited as therapeutic targets. Here, we describe the crystal structures of a pan-TGF-beta neutralizing antibody, GC-1008, alone and in complex with TGF-beta3. The antibody is currently in clinical evaluation for idiopathic pulmonary fibrosis, melanoma, and renal cell cancer. GC-1008 recognizes an asymmetric binding interface across the TGF-beta homodimer with high affinity. Whereas both cognate receptors, TGF-beta-receptor types I and II, are required to recognize all 3 TGF-beta isoforms, GC-1008 has been engineered to bind with high affinity to TGF-beta1, 2, and 3 via a single interaction surface. Comparison with existing structures and models of TGF-beta interaction with its receptors suggests that the antibody binds to a similar epitope to the 2 receptors together and is therefore a structurally different but functionally identical mimic of the binding mode of both receptors.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2600578 | PMC |
http://dx.doi.org/10.1073/pnas.0807200106 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!