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Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms
Joint Authors
Seo, Sangmin
Choi, Jonghwan
Ahn, Soon Kil
Kim, Kil Won
Kim, Jaekwang
Choi, Jaehyuck
Kim, Jinho
Ahn, Jaegyoon
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-30
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
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 results show that these new features can be effective in predicting GPCR-ligand binding (average area under the curve [AUC] of 0.944), because they are thought to include hidden properties of good ligand-receptor binding.
Using the proposed method, we were able to identify novel ligand-GPCR bindings, some of which are supported by several studies.
American Psychological Association (APA)
Seo, Sangmin& Choi, Jonghwan& Ahn, Soon Kil& Kim, Kil Won& Kim, Jaekwang& Choi, Jaehyuck…[et al.]. 2018. Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-5.
https://search.emarefa.net/detail/BIM-1132098
Modern Language Association (MLA)
Seo, Sangmin…[et al.]. Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-5.
https://search.emarefa.net/detail/BIM-1132098
American Medical Association (AMA)
Seo, Sangmin& Choi, Jonghwan& Ahn, Soon Kil& Kim, Kil Won& Kim, Jaekwang& Choi, Jaehyuck…[et al.]. Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-5.
https://search.emarefa.net/detail/BIM-1132098
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132098