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
Dimethyl sulfate (DMS) chemical mapping is widely used for probing RNA structure, with low reactivity interpreted as Watson-Crick (WC) base pairs and high reactivity as unpaired nucleotides. Despite its widespread use, a quantitative understanding of how DMS reactivity relates to specific RNA 3D structural features remains incomplete. To address this gap, we systematically analyzed DMS reactivity patterns with a massive library of 7,500 RNA constructs containing two-way junctions with known 3D structures. Our results reveal that DMS reactivity exists on a continuous spectrum rather than discrete high and low bins. Approximately 10% overlap in reactivity between WC and non-WC nucleotides demonstrates that simple thresholds cannot accurately determine base-pairing status. In flanking WC pairs, DMS reactivity correlates with base stacking strength and junction dynamics. For non-WC nucleotides, increased hydrogen bonding and decreased solvent accessibility led to WC-like DMS protection. Most significantly, we discover that DMS reactivity in non-canonical pairs strongly correlates with atomic distances and base pair geometry, enabling discrimination between different 3D conformations. These quantitative relationships establish novel metrics for evaluating RNA structural models and provide a new framework for incorporating DMS reactivity patterns into structure prediction algorithms.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11601540 | PMC |
http://dx.doi.org/10.1101/2024.11.21.624766 | DOI Listing |
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