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ValTrendsDB: Database of biomacromolecular structure validation trends

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F19%3A00110338" target="_blank" >RIV/00216224:14740/19:00110338 - isvavai.cz</a>

  • Result on the web

    <a href="http://ncbr.muni.cz/ValTrendsDB" target="_blank" >http://ncbr.muni.cz/ValTrendsDB</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    ValTrendsDB: Database of biomacromolecular structure validation trends

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Internal product ID

    ValTrendsDB

  • Technical parameters

    ValTrendsDB is updated weekly, and is freely accessible at http://ncbr.muni.cz/ValTrendsDB. The web interface was implemented in JavaScript using the d3.js library as well as the Metro UI design elements. The database back-end was implemented in C++ using the Qt SDK. Communication between the web interface and the back-end is carried out via local HTTPS communication on the server. Responses of the back-end are buffered using the Apache server.

  • Economical parameters

    Volně dostupná aplikace

  • Owner IČO

    00216224

  • Owner name

    Masarykova univerzita