Exploring Trends in Quality of Biomacromolecular Structure Data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F17%3A00108766" target="_blank" >RIV/00216224:14740/17:00108766 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Exploring Trends in Quality of Biomacromolecular Structure Data
Popis výsledku v původním jazyce
We have performed wide analysis of trends in quality and size of biomacromolecules and their ligands. 88 factors that quantified quality and metadata properties of biomacromolecular complexes have been considered. Source data for the analysis came from the Protein Data Bank database. The state of quality of ligands was sourced from the ValidatorDB database that was developed by our team. Some trends were expected to exist (e.g., newer structures have better quality). Other trends came as a surprise to us (e.g., ligand quality is stagnant at best, currently utilised structure validation methods do not validate ligands well). All trends that have been discovered in the analysis are openly available in the ValTrendsDB database.
Název v anglickém jazyce
Exploring Trends in Quality of Biomacromolecular Structure Data
Popis výsledku anglicky
We have performed wide analysis of trends in quality and size of biomacromolecules and their ligands. 88 factors that quantified quality and metadata properties of biomacromolecular complexes have been considered. Source data for the analysis came from the Protein Data Bank database. The state of quality of ligands was sourced from the ValidatorDB database that was developed by our team. Some trends were expected to exist (e.g., newer structures have better quality). Other trends came as a surprise to us (e.g., ligand quality is stagnant at best, currently utilised structure validation methods do not validate ligands well). All trends that have been discovered in the analysis are openly available in the ValTrendsDB database.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10608 - Biochemistry and molecular biology
Návaznosti výsledku
Projekt
<a href="/cs/project/LQ1601" target="_blank" >LQ1601: CEITEC 2020</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů