Binding affinity prediction for binary drug–target interactions using semi-supervised transfer learning

Betsabeh Tanoori; Mansoor Zolghadri Jahromi; Eghbal G. Mansoori

doi:10.1007/s10822-021-00404-7

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Binding affinity prediction for binary drug–target interactions using semi-supervised transfer learning

Betsabeh Tanoori Mansoor Zolghadri Jahromi Eghbal G. Mansoori

Year: 2021 Journal: Journal of Computer-Aided Molecular Design Vol: 35 (8)Pages: 883-900 Publisher: Springer Science+Business Media

DOI: 10.1007/s10822-021-00404-7

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Keywords:

Binary classification Binary number Computer science Drug target Artificial intelligence Machine learning Boosting (machine learning) Benchmark (surveying) Transfer of learning Regularization (linguistics) Data mining Support vector machine Mathematics Chemistry

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Machine Learning in Bioinformatics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Protein Structure and Dynamics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Binding affinity prediction for binary drug–target interactions using semi-supervised transfer learning

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