Article: Decrypting orphan GPCR drug discovery via multitask learning.
2024 Volume 16, Issue 1, Page(s) 10
Abstract: The drug discovery of G protein-coupled receptors (GPCRs) superfamily using computational models is often limited by the availability of protein three-dimensional (3D) structures and chemicals with experimentally measured bioactivities. Orphan GPCRs ... ...
Abstract | The drug discovery of G protein-coupled receptors (GPCRs) superfamily using computational models is often limited by the availability of protein three-dimensional (3D) structures and chemicals with experimentally measured bioactivities. Orphan GPCRs without known ligands further complicate the process. To enable drug discovery for human orphan GPCRs, multitask models were proposed for predicting half maximal effective concentrations (EC |
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Language | English |
Publishing date | 2024-01-23 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 2486539-4 |
ISSN | 1758-2946 |
ISSN | 1758-2946 |
DOI | 10.1186/s13321-024-00806-3 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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