The pandemic situations caused by the pathogenic virus create a global concern, as it is associated with loss of human lives as well as weakening of economy of a country. As eradication strategy, searching for the novel molecules are desirable so that it can be suitably used against the virus. In this context, the computer-based (in silico) study about the novel inhibitor molecule is preferred due to its less time and cost consuming nature. The pathogenic RNA virus that infects human being contains the RNA helicase enzyme, responsible for the replication of the viral genome. Therefore, many researchers have identified and proposed novel compounds that can be targeted towards the helicase enzymes to stop the functioning of the enzyme. Interestingly, the helicase enzyme inhibitor molecules of one type of virus have been repurposed as the potential inhibitor molecule against the other type of virus. Therefore, study of these molecules is very much important. Although many viral helicase inhibitor molecules have been identified, still yet no unique database is available for these compounds. This research work envisages in developing a curated database of RNA helicase inhibitors. The database contains in total of 382 entries that are computationally predicted and experimentally verified RNA helicase inhibitors. The database allows retrieval of information like compound name, chemical formats, physico-chemical properties, name of the virus to which it act against it by with a user-friendly menu driven search engine. Overall the developed database provides a search interface which permits the user to explore these specific enzymes. Presently, the database is freely available.