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
Selective methyl labeling is an extremely powerful approach to study the structure, dynamics, and explore mechanistic insights of large biomolecules by solution NMR. Methyls are relatively insensitive to chemical exchange-induced depolarization and provide superior probes of supramolecular interactions and allostery in such systems. In this chapter, we describe our systematic approach and contributions in the areas of sample preparation, data collection, and data analysis that streamline the application of methyl labeling in solution NMR studies of large proteins. We focus our effort on the initial and often onerous task of methyl resonance assignment and here we detail our approaches to simplify the process. We produce new methyl labeling combinations using Escherichia coli auxotrophs, increase speed, sensitivity, and resolution of NOESY experiments by employing 3D SOFAST-NOESY, and assign methyl resonances from raw data with spectral simulation tools and(or) automatically with minimal expert supervision using the MAGIC algorithm.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1016/bs.mie.2018.08.036 | DOI Listing |
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