CDCM: a correlation-dependent connectivity map approach to rapidly screen drugs during outbreaks of infectious diseases.

ABSTRACT: In the context of the global damage caused by coronavirus disease 2019 (COVID-19) and the emergence of the monkeypox virus (MPXV) outbreak as a public health emergency of international concern, research into methods that can rapidly test potential therapeutics during an outbreak of a new infectious disease is urgently needed. Computational drug discovery is an effective way to solve such problems. The existence of various large open databases has mitigated the time and resource consumption of traditional drug development and improved the speed of drug discovery. However, the diversity of cell lines used in various databases remains limited, and previous drug discovery methods are ineffective for cross-cell prediction. In this study, we propose a correlation-dependent connectivity map (CDCM

SUBMITTER: Liao J 

PROVIDER: S-EPMC11658818 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature