A novel method of literature mining to identify candidate COVID-19 drugs.

ABSTRACT:

Summary

COVID-19 is a serious infectious disease that has recently emerged and continues to spread worldwide. Its spreading rate is too high to expect that new specific drugs will be developed in sufficient time. As an alternative, drugs already developed for other diseases have been tested for use in the treatment of COVID-19 (drug repositioning). However, to select candidate drugs from a large number of compounds, numerous inhibition assays involving viral infection of cultured cells are required. For efficiency, it would be useful to narrow the list of candidates down using logical considerations prior to performing these assays. We have developed a powerful tool to predict candidate drugs for the treatment of COVID-19 and other diseases. This tool is based on the concatenation

SUBMITTER: Muramatsu T 

PROVIDER: S-EPMC9710631 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature