Coronavirus Disease of 2019 (COVID-19) created dire consequences globally and triggered an enormous scientific effort from different domains. Resulting publications formed a gigantic domain-specific collection of text in which finding studies on a biomolecule of interest is quite challenging for general purpose search engines due to terminology-rich characteristics of the publications . Here, we present Vapur , an online COVID-19 search engine specifically designed for finding related protein-chemical pairs. Vapur is empowered with a biochemically related entities-oriented inverted index in order to group studies relevant to a biomolecule with respect to its related entities. The inverted index of Vapur is automatically created with a BioNLP pipeline and integrated with an online user interface. The online interface is designed for the smooth traversal of the current literature  and is publicly available at URL .
Coronavirus Disease of 2019 (COVID-19) created dire consequences globally and triggered an intense scientific effort from different domains. The resulting publications created a huge text collection in which finding the studies related to a biomolecule of interest is challenging for general purpose search engines because the publications are rich in domain specific terminology . Here, we present Vapur : an online COVID-19 search engine specifically designed to find related protein - chemical pairs. Vapur is empowered with a relation-oriented inverted index that is able to retrieve and group studies for a query biomolecule with respect to its related entities. The inverted index of Vapur is automatically created with a BioNLP pipeline and integrated with an online user interface. The online interface is designed for the smooth traversal of the current literature by domain researchers and is publicly available at URL .
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enormous
intense
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Resulting publications formed a gigantic domain-specific collection of text
The resulting publications created a huge text collection
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studies on
the studies related to
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quite
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due to terminology-rich characteristics of the publications
because the publications are rich in domain specific terminology
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,
:
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for finding related protein-chemical
to find related protein - chemical
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biochemically related entities-oriented inverted index in order to group studies relevant to a
relation-oriented inverted index that is able to retrieve and group studies for a query
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by domain researchers