All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

ValTrendsDB: bringing Protein Data Bank validation information closer to the user

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F19%3A00110332" target="_blank" >RIV/00216224:14740/19:00110332 - isvavai.cz</a>

  • Result on the web

    <a href="https://dx.doi.org/10.1093/bioinformatics/btz532" target="_blank" >https://dx.doi.org/10.1093/bioinformatics/btz532</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/bioinformatics/btz532" target="_blank" >10.1093/bioinformatics/btz532</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    ValTrendsDB: bringing Protein Data Bank validation information closer to the user

  • 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. ValTrendsDB is updated weekly. ValTrendsDB is freely accessible at http://ncbr.muni.cz/ValTrendsDB. The web interface was implemented in JavaScript. The database was implemented in C++.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Bioinformatics

  • ISSN

    1367-4803

  • e-ISSN

    1460-2059

  • Volume of the periodical

    35

  • Issue of the periodical within the volume

    24

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    2

  • Pages from-to

    5389-5390

  • UT code for WoS article

    000509361200062

  • EID of the result in the Scopus database

    2-s2.0-85077782482