HORSKÝ, Vladimír, Veronika BENDOVÁ, Dominik TOUŠEK, Jaroslav KOČA and Radka SVOBODOVÁ VAŘEKOVÁ. ValTrendsDB: Enabling comparison of quality and features of biomacromolecular complexes to the global trend. In ELIXIR CZ Annual Conference 2019. 2019. ISBN 978-80-86241-61-6.
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Basic information
Original name ValTrendsDB: Enabling comparison of quality and features of biomacromolecular complexes to the global trend
Authors HORSKÝ, Vladimír (203 Czech Republic, guarantor, belonging to the institution), Veronika BENDOVÁ (203 Czech Republic, belonging to the institution), Dominik TOUŠEK (203 Czech Republic, belonging to the institution), Jaroslav KOČA (203 Czech Republic, belonging to the institution) and Radka SVOBODOVÁ VAŘEKOVÁ (203 Czech Republic, belonging to the institution).
Edition ELIXIR CZ Annual Conference 2019, 2019.
Other information
Original language English
Type of outcome Conference abstract
Field of Study 10608 Biochemistry and molecular biology
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW Conference website
RIV identification code RIV/00216224:14740/19:00111379
Organization unit Central European Institute of Technology
ISBN 978-80-86241-61-6
Keywords in English PDB; PDBe; Protein Data Bank; three-dimensional macromolecular structure; validation; wwPDB validation pipeline; ligands; ValTrendsDB; X-ray crystallography; NMR spectroscopy; 3DEM; database; trends in quality; visualization; statistical analysis
Tags rivok
Tags International impact
Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 26/3/2020 16:47.
Abstract
Models of biomacromolecules are assembled from experimentally measured data, which can invite errors. Some structure models were found to be erroneous to the point of retracting articles with conclusions based on these models. The community began developing and using methodologies for validation of structure models. This focus of quality had us wondering whether it has any impact on quality of newer structures. To provide food for thought regarding this inquiry (and several others), we have carried out a wide range exploratory analysis of trends in relationships of pairs of factors that represent quality and features of biomacromolecules and ligands. Data from the PDB database, as well as our own ValidatorDB database that contains ligand validation information, have been transformed into 88 factors for the analysis. We expected some of the discovered trends (e.g., newer structures have better quality), while others surprised us (e.g., ligand quality is stagnant at best). Complete results of our analysis are available in the weekly updated ValTrendsDB database (ncbr.muni.cz/ValTrendsDB). Users of the database can view factor-pair plots of all explored relationships, including those that provided us with interesting trends. An important functionality of ValTrendsDB is visualization of data points, which represent one or more PDB entries, into factor-pair plots served by the database as results of the exploratory analysis. This way, users can compare quality and features of their structure(s) of interest to the trends across the whole PDB database
Links
LQ1601, research and development projectName: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/1503/2018, interní kód MUName: Matematické statistické modelování 3 (Acronym: MaStaMo3)
Investor: Masaryk University, Category A
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