Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms

We propose a novel method that predicts binding of G-protein coupled receptors (GPCRs) and ligands. The proposed method uses hub and cycle structures of ligands and amino acid motif sequences of GPCRs, rather than the 3D structure of a receptor or similarity of receptors or ligands. The experimental...

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Detalles Bibliográficos
Autores principales: Seo, Sangmin, Choi, Jonghwan, Ahn, Soon Kil, Kim, Kil Won, Kim, Jaekwang, Choi, Jaehyuck, Kim, Jinho, Ahn, Jaegyoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831789/
https://www.ncbi.nlm.nih.gov/pubmed/29666662
http://dx.doi.org/10.1155/2018/6565241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831789/
https://www.ncbi.nlm.nih.gov/pubmed/29666662
http://dx.doi.org/10.1155/2018/6565241

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