Search Results

1 of 1
Edit My Search | New Search | Selected Items
thumbnail image
PDF
Access to this PDF has been restricted at the author's request. It will be publicly available after: 2173-10-02
Citation & Export
View statistics
Staff View

Citation & Export
Hide

Simple citation

Young, Jasmine Y. & Feng, Zukang & Dimitropoulos, Dimitris & Sala, Raul & Westbrook, John & Zhuravleva, Marina & Shao, Chenghua & Quesada, Martha & Peisach, Ezra & Berman, Helen M. (2013). Chemical annotation of small and peptide-like molecules at the Protein Data Bank. Database, 2013, bat079. Retrieved from https://doi.org/doi:10.7282/T300051M

Export

Click here for information about Citation Management Tools at Rutgers.

Statistics
Hide

Description

Chemical annotation of small and peptide-like molecules at the Protein Data Bank (2013)
Jasmine Y. Young, Zukang Feng, Dimitris Dimitropoulos, Raul Sala, John Westbrook, Marina Zhuravleva, Chenghua Shao, Martha Quesada, Ezra Peisach, Helen M. Berman
Database 2013: bat079.
Link to published version
VersionVersion of Record (VoR)
AbstractOver the past decade, the number of polymers and their complexes with small molecules in the Protein Data Bank archive (PDB) has continued to increase significantly. To support scientific advancements and ensure the best quality and completeness of the data files over the next 10 years and beyond, the Worldwide PDB partnership that manages the PDB archive is developing a new deposition and annotation system. This system focuses on efficient data capture across all supported experimental methods. The new deposition and annotation system is composed of four major modules that together support all of the processing requirements for a PDB entry. In this article, we describe one such module called the Chemical Component Annotation Tool. This tool uses information from both the Chemical Component Dictionary and Biologically Interesting molecule Reference Dictionary to aid in annotation. Benchmark studies have shown that the Chemical Component Annotation Tool provides significant improvements in processing efficiency and data quality.
Persistent URLhttps://doi.org/doi:10.7282/T300051M
SubjectsBiocuration, Annotation, Macromolecular structure, Data archive, mmCIF data dictionary, Controlled vocabulary, Validation, Worldwide Protein Databank (wwPDB)
RightsCopyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.