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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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| Publicado no: | Comput Math Methods Med |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5831789/ https://ncbi.nlm.nih.gov/pubmed/29666662 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/6565241 |
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