In silico Drug Screening Approach Using L1000-Based Connectivity Map and Its Application to COVID-19.

ABSTRACT: Conventional drug screening methods search for a limited number of small molecules that directly interact with the target protein. This process can be slow, cumbersome and has driven the need for developing new drug screening approaches to counter rapidly emerging diseases such as COVID-19. We propose a pipeline for drug repurposing combining in silico drug candidate identification followed by in vitro characterization of these candidates. We first identified a gene target of interest, the entry receptor for the SARS-CoV-2 virus, angiotensin converting enzyme 2 (ACE2). Next, we employed a gene expression profile database, L1000-based Connectivity Map to query gene expression patterns in lung epithelial cells, which act as the primary site of SARS-CoV-2 infection. Using gene e

SUBMITTER: Asano T 

PROVIDER: S-EPMC8989014 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature