ValTrendsDB: Database of biomacromolecular structure validation trends

Kód výsledku v 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>

Výsledek na webu

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

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

ValTrendsDB: Database of biomacromolecular structure validation trends

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

ValTrendsDB: Database of biomacromolecular structure validation trends

Popis výsledku anglicky

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.

Druh

R - Software

CEP obor

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OECD FORD obor

10608 - Biochemistry and molecular biology

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Interní identifikační kód produktu

ValTrendsDB

Technické parametry

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.

Ekonomické parametry

Volně dostupná aplikace

IČO vlastníka výsledku

00216224

Název vlastníka

Masarykova univerzita