ValTrendsDB: Database of biomacromolecular structure validation trends

• Autoři: HORSKÝ Vladimír; BENDOVÁ Veronika; TOUŠEK Dominik; KOČA Jaroslav; SVOBODOVÁ VAŘEKOVÁ Radka
• Rok publikování: 2019
• Druh: Software
• Fakulta / Pracoviště MU: Středoevropský technologický institut
• www: http://ncbr.muni.cz/ValTrendsDB
• Popis: Structures in PDB tend to contain errors. This is a very serious issue for authors that rely on such potentially problematic data. The community of structural biologists develops validation methods as countermeasures, which are also included in the PDB deposition system. But how are these validation efforts influencing the structure quality of subsequently published data? Which quality aspects are improving, and which remain problematic? We developed ValTrendsDB, a database that provides the results of an extensive exploratory analysis of relationships between quality criteria, size and metadata of biomacromolecules. Key input data are sourced from PDB. The discovered trends are presented via precomputed information-rich plots. ValTrendsDB also supports the visualization of a set of user-defined structures on top of general quality trends. Therefore, ValTrendsDB enables users to see the quality of structures published by selected author, laboratory or journal, discover quality outliers, etc.

Související projekty

• ELIXIR-EXCELERATE: Fast-track ELIXIR implementation and drive early user exploitation across the life-sciences
• Česká národní infrastruktura pro biologická data
• CEITEC 2020
• Creating synergies between research infrastructures to stimulate innovation in the cross-border region
• ELIXIR-CZ: Budování kapacit
• Matematické statistické modelování 3