  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 https://tabilab.cmpe.boun.edu.tr/vapur/ .
