SeqGO-CPA: Improving Compound-Protein Binding Affinity Prediction with Sequence Information and Gene Ontology Knowledge

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2021)

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摘要
The compound-protein binding affinity (CPA) pre-diction is vital for drug discovery and drug repurposing. Deep learning methods have been developed to model the complicated relationship between CPA and the sequences or structures of proteins and molecules. This study proposes a novel deep learning method, SeqGO-CPA, integrating protein function knowledge represented by Gene Ontology (GO) annotatio...
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关键词
Proteins,Deep learning,Drugs,Annotations,Biological system modeling,Ontologies,Prediction algorithms
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