Unsupervised Prediction Method for Drug-Target Interactions Based on Structural Similarity

Xinyuan Zhang; Xiaoli Lin; Jing Hu; Wenquan Ding

doi:10.1007/978-3-031-13829-4_45

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Unsupervised Prediction Method for Drug-Target Interactions Based on Structural Similarity

Xinyuan Zhang Xiaoli Lin Jing Hu Wenquan Ding

Year: 2022 Lecture notes in computer science Pages: 517-532 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-13829-4_45

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Keywords:

Computer science Cluster analysis Similarity (geometry) DOCK Drug target Artificial intelligence Data mining Protein Data Bank (RCSB PDB) Cluster (spacecraft) Pattern recognition (psychology) Machine learning Image (mathematics) Chemistry

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Bioinformatics and Genomic Networks

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

Protein Structure and Dynamics

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

Unsupervised Prediction Method for Drug-Target Interactions Based on Structural Similarity

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Correction: Prediction of Drug-Target Interactions for Drug Repositioning Only Based on Genomic Expression Similarity