Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Background: Paeonia lactiflora Pall. is a traditional medicinal plant widely used in East Asia, particularly for its roots, which are processed into various herbal remedies. With the advancement of omics technologies, significant genomic, transcriptomic, proteomic, and metabolomic data related to P. lactiflora have been generated. To facilitate the utilization of this wealth of information for research and applications, a multi-omics database specific to P. lactiflora was developed.
Results: This comprehensive multi-omics database includes genomic, transcriptomic, and proteomic datasets, as well as chemical compound profiles identified in various tissues and growth stages. The database also features data on key biosynthetic pathways, including those associated with monoterpenoid glycosides such as paeoniflorin, and provides tools for analyzing protein structures and interactions. Additionally, it summarizes P. lactiflora's major active compounds, and highlights reported pharmacological effects. The database is organized into key functional modules: Home, Genome, Transcriptome, Proteome, Tools, Biosynthetic Pathways, Chemical Compounds, and Publications. Notably, the "Tools" module supports sequence alignment, pathway enrichment analysis (including Kyoto Encyclopedia of Genes and Genomes, KEGG), protein structure prediction, and primer design.
Conclusions: The multi-omics database (URL: http://210.22.121.250:8888/cosd/home/indexPage ) of P. lactiflora integrates extensive molecular and chemical data, providing a robust platform for researchers. It serves as a valuable resource for advancing studies on the cultivation, breeding, and molecular pharmacognosy of P. lactiflora and supports the development of its medicinal applications.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335026 | PMC |
http://dx.doi.org/10.1186/s12870-025-07032-5 | DOI Listing |