Getting the whole story: The role of high-content analysis | Zendy

Paul Wylie | Zendy; Wayne H. Bowen | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Getting the whole story: The role of high-content analysis

Author(s) -

Paul Wylie,

Wayne H. Bowen

Publication year - 2004

Publication title -

the biochemist

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.126

H-Index - 7

eISSN - 1740-1194

pISSN - 0954-982X

DOI - 10.1042/bio02602027

Subject(s) - g protein coupled receptor , high content screening , computational biology , kinase , receptor , population , computer science , data science , biology , microbiology and biotechnology , medicine , biochemistry , cell , environmental health

High-content screening (HCS) is the measurement of complex cellular responses in a population of whole cells in parallel. It provides additional knowledge that can be critical when determining which targets to investigate and which lead compounds to pursue. In this article, we highlight the advantages of HCS analysis over traditional biochemical assays, using work on G-protein-coupled receptors (GPCRs) and kinases as examples.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research