Coronavirus Disease of 2019 (COVID-19) created dire consequences globally and\ntriggered an intense scientific effort from different domains. The resulting\npublications created a huge text collection in which finding the studies\nrelated to a biomolecule of interest is challenging for general purpose search\nengines because the publications are rich in domain specific terminology. Here,\nwe present Vapur: an online COVID-19 search engine specifically designed to\nfind related protein - chemical pairs. Vapur is empowered with a\nrelation-oriented inverted index that is able to retrieve and group studies for\na query biomolecule with respect to its related entities. The inverted index of\nVapur is automatically created with a BioNLP pipeline and integrated with an\nonline user interface. The online interface is designed for the smooth\ntraversal of the current literature by domain researchers and is publicly\navailable at https://tabilab.cmpe.boun.edu.tr/vapur/ .\n