Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition-Reference-Cited by-同舟云学术

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Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition

Published:2020-08 Issue: Volume:180 Page:89-110
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Raschka Sebastian,Kaufman Benjamin

Funder

Office of the Vice Chancellor for Research and Graduate Education, University of Wisconsin-Madison

U.S. National Library of Medicine

Wisconsin Alumni Research Foundation

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference204 articles.

1. Trends in GPCR drug discovery: new agents, targets and indications;Hauser;Nature Reviews Drug Discovery,2017

2. Are GPCRs still a source of new targets?;Garland;Journal of Biomolecular Screening,2013

3. Functional assays for screening GPCR targets;Thomsen;Current Opinion in Biotechnology,2005

4. Comprehensive repertoire and phylogenetic analysis of the G protein-coupled receptors in human and mouse;Bjarnadóttir;Genomics,2006

5. International union of basic and clinical pharmacology. LXXXVIII.G protein-coupled receptor list: recommendations for new pairings with cognate ligands;Davenport;Pharmacological Reviews,2013

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